Fulltime Machine Learning Engineers openings in Los Angeles on September 02, 2022

Staff Machine Learning Engineer at Mozilla

Location: Los Angeles

The Company

Pocket empowers people to discover, organize, consume, and share content that matters to them. Our apps and platform are essential ways that tens of millions of people discover and consume content on the web. Pocket is the Web, curated: for you and by you.

The Opportunity

Build the systems connecting millions of people to the content worthy of their time and attention. We are looking for a Staff Machine Learning engineer to partner with the editorial and product teams to develop the recommendation systems that power Pocket’s discovery surfaces and the Firefox new tab. Machine learning engineers are responsible for designing and evolving both algorithmic and human-in-the-loop recommendation systems. Pocket is committed to recommending high-quality content at scale while respecting our readers’ data and privacy.

We seek applied machine learning experts who can both design algorithms and architectures to satisfy product requirements and also help deploy their solutions in production. Pocket recommendations combine content and engagement signals with the human expertise of our editorial team. Our recommendation systems reflect editorial principles, Mozilla’s values, and the pocket mission. We optimize our systems to enable users to discover content that they can consume on their terms and at their pace.

People who excel on our team thrive in small, dynamic environments. We contribute in many areas beyond machine learning, including product engineering, machine learning operations, and data modeling, among others.

What You’ll Do
• Work closely with Pocket editorial, product management, and experience design teams to deliver high-quality features and solutions
• Be involved in end-to-end development, exploring new applications and techniques within natural language processing, applied machine learning, and explainable and privacy-aware ML
• Enhance our machine learning infrastructure.
• Write robust production-level code and engage in code reviews.

What You Bring
• Technical education in Computer Science, Information Science, Engineering, or equivalent experience (Master’s degree or higher preferred)
• 3+ years of relevant experience in Machine Learning Engineering:
• shipping high-quality machine learning solutions to production
• design and analysis of experiments (A/B tests) to validate iterative system development
• conceptual familiarity with feature stores, monitoring and observability, data distribution shifts
• Flexible and comfortable working within a distributed organization and with minimal process. This role allows for a high degree of ownership and requires rapid iteration.
• Motivation to learn continuously and help define research and development practices in an applied setting
• Excellent verbal and written communication skills and willingness to convey algorithmic or engineering considerations to non-experts.
• Experienced in building recommendation systems on cloud platforms like AWS Sagemaker or Google Cloud ML.

Bonus Experience
• AWS SageMaker, Google Cloud ML
• ML: Scikit-Learn, PyTorch, Hugging Face, Metaflow
• Storage: Snowflake, AWS Feature Groups, AWS S3, AWS DynamoDB
• Orchestrators: Airflow, Prefect
• Data modeling: DBT

Commitment to diversity, equity, inclusion, and belonging

Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities and expressions.

We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at [Email available when viewing the job] to request an accommodation.

We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.

Group: C

R1865
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Sr. Machine Learning Engineer at Cloudflare

Location: Los Angeles

About Us
At Cloudflare, we have our eyes set on an ambitious goal: to help build a better Internet. Today the company runs one of the world’s largest networks that powers approximately 25 million Internet properties, for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based on an evaluation of their potential and support them throughout their time at Cloudflare. Come join us!
Cloudflare Area 1 Security builds advanced technology that will protect millions of people from malicious attacks on the World Wide Web. We analyze hundreds of millions of events each day to identify and stop targeted attacks against some of the largest organizations on the planet. Use our massive data feeds to create powerful machine learning algorithms that will discover phishing attacks and other nefarious behaviors online. Be part of a small but growing team of dedicated individuals making every moment matter in protecting people from cybersecurity threats.
Responsibilities
• Work very closely with the engineers who build the core of the Area 1 solution to enhance and build new features.
• Work with large scale data systems in both online/streaming and offline/batch fashions.
• Work with our product team to assist them with the implementation of data driven solutions.
• Work with cross functional teams on analyzing gaps in security detections and propose

MIN REQUIREMENTS:
• Strong background working with machine learning methods and experience in implementing and extending ML algorithms independently.
• At least 3-4 years of experience with machine learning and tools (ex: scikit-learn, tensorflow), deep learning, computer vision and natural language processing.
• Experience with ML Model deployment / productization.
• Flexible skills to quickly convert working ML solutions to products.
• Strong software engineering skills and substantial expertise in one of Python, Go or Rust.

PREFERRED:
• Bachelor’s, Master’s degree or PhD.
• Significant experience in networking, security, cryptography, malware analysis, data analysis, high-reliability clusters, statistics.
• Recent development or architectural leadership experience with large-scale data systems, streaming analytics.
• Experience with continuous delivery environments and agile methodologies is a plus.
• Experience with NoSQL technologies and Security practices.
• Actively participated in one or more Kaggle competitions

Compensation
Compensation may be adjusted depending on work location. For Colorado-based hires: Estimated annual salary of $ 156,000 – $ 190,000 .
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits
• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off
• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo : We equip politically and artistically important organizations and journalists with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers–at no cost.
Athenian Project : We created Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration.
Path Forward Partnership : Since 2016, we have partnered with Path Forward, a nonprofit organization, to create 16-week positions for mid-career professionals who want to get back to the workplace after taking time off to care for a child, parent, or loved one.
1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use – it is the first consumer-focused service Cloudflare has ever released. Here’s the deal – we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person’s, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
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Machine Learning Operations Engineer at FLYR

Location: Los Angeles

Our Vision

FLYR Labs is focused on the relentless application of advanced and intuitive technologies that help transportation leaders unlock their ultimate potential.

Starting with airlines, we provide the Cirrus Revenue Operating System that reshapes how travel and transportations businesses plan their commercial operation. We displace legacy data, forecasting, pricing, and reporting solutions with a single enterprise SaaS platform that leverages the latest advancements in deep learning, cloud computing, and user experience.

Our hyper-accurate contextual forecasts enable the most effective scheduling, marketing, and leadership decisions while directly managing the pricing for billions of dollars worth of product and revenue.

Flight itinerary

Flyr is a rapidly growing startup looking for an MLOps thought leader who will communicate fearlessly, advocate for change and take ownership of bringing MLOps to Flyr.

As an MLOps Engineer at Flyr, you’ll be partnering with our Data Science, Machine Learning and Artificial Intelligence teams to operationalize the data pipelines that are central to our product. The MLOps Engineer takes a consultative approach to understanding business requirements, identifying bottlenecks and developing (technical, architectural, procedural) solutions.

As a member of the DevOps team, the MLOps Engineer is expected to heavily interact with Engineering and Business decision makers to not only develop our existing MLOps processes, but also to continually identify new opportunities for improvement.

What will your destination look like?
• As a member of the DevOps team, the MLOps Engineer will be responsible for: On-Call Support for Infrastructure Escalations: Once per month, 12 hours x 7 days
• Tracking and implementing technical solutions during the DevOps Team’s bi-weekly Sprints and participating in Sprintly Scrum rituals
• Identifying (technical, process) bottlenecks within Data / ML / AI teams
• Partnering with internal stakeholders to develop technical solutions (infrastructure, application, process) based on team requirements and business needs
• Proposing technical solutions to engineering and business leadershipParticipating in and providing expert opinions during Architecture Review Boards
• Optimizing general CI / CD pipelines for developers
• Staying up to date with developments in MLOps, looking for new opportunities to improve our processes and technologies

What can you bring on this trip?
• Minimum two (2) years of experience in DevOps Engineering or similar roles, with a focus on Machine Learning, Data Science or Artificial Intelligence
• Demonstrated ability to rapidly acquire new skills and develop working solutions
• Past experience collaborating with cross-functional teams to drive technical projects to completion
• Exhibit well spoken and written communication, demonstrate ownership mentality, engage in developer enablement and peer leadership
• A wide technical background, with a heavy emphasis on Cloud Infrastructure

Optional carry-on:
• Prior experience with Argo Workflows or Kubeflow Pipelines
• Prior experience with GCP, Terraform, CircleCI, Spinnaker, GitHub Enterprise
• Prior experience with Agile Software Development and Scrum methodologies
• Prior experience operating in a geographically distributed development environment

First-Class amenities:
• Equity in Series C startup with high growth potential
• Comprehensive healthcare plans (Choice of PPO & HMO available)
• Generous PTO policy and flexible working arrangements
• 401K with company match
• Free breakfast/Lunch (in office)
• Uber Eats – $20/week
• 100% paid Parental Leave for 12 weeks
• $300 home office set-up stipend (one time)

Our Commitment to Equality

At FLYR, we are proud to be an equal opportunity workplace and embrace a commitment to have our teams better reflect the world around us as we scale the business.
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Machine Learning Engineer – Computer Vision at Surf Search

Location: Los Angeles

We are currently searching for a Machine Learning Engineer – Computer Vision to join a very exciting biotech company revolutionizing histopathology. This person will be responsible for the development and deployment of computer vision algorithms.

Requirements of the Machine Learning Engineer – Computer Vision:
• MS in engineering, computer science, biomedical informatics or relevant field.
• Minimum 3 years industry experience developing, designing and deploying algorithms and datasets.
• Demonstrated successful experience training ML algorithms and statistical analysis (PCA, SVM, regression analysis, random forest, t-SNE, clustering methods, etc.)
• Hands on experience with computer vision algorithms for large scale data related to biomedical imaging, satellite imagery, digital pathology, etc.)
• Programming experience with python.
• Experience with machine learning libraries such as tensorflow and Pytorch.

Responsibilities of the Machine Learning Engineer – Computer Vision:
• Develop ML techniques and end-to-end algorithms for pathology applications.
• Optimize large-scale datasets for various uses.
• Implement ML algorithms and continuously evaluate and improve their performance.

Occupational Category: 5-1252 Software Developers
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Software Engineer, Machine Learning at Meta

Location: Los Angeles

Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.

Software Engineer, Machine Learning Responsibilities:
• Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellence
• Adapt standard machine learning methods to best exploit modern parallel environments (eg, distributed clusters, multicore SMP, and GPU)
• Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate
• Leading a team from a technical perspective to develop ML best practices and influence engineering culture
• Be a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around it
• Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
• Suggest, collect and synthesize requirements and create effective feature roadmap
• Code deliverables in Tandem with the engineering team
Minimum Qualifications:
• 6+ years of experience in software engineering, or a relevant field. 4+ years of experience if you have a PhD
• 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical field
• Experience with developing machine learning models at scale from inception to business impact
• Knowledge developing and debugging in C/C+ and Java, or experience with Scripting languages such as Python, Perl, PHP, and/or Shell scripts
• Experience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects
• Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Preferred Qualifications:
• Masters degree or PhD in Computer Science or a related technical field
• Exposure to architectural patterns of large scale software applications
Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at (see below)
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Machine Learning Engineer at Manifold Valley

Location: Los Angeles

Manifold Valley is a machine learning research startup focused on data production for 3d games and virtual film production. Currently seeking dynamic, driven, talented and highly creative machine learning engineers to join us as our ongoing effort grows.

If you are looking for a position that utilizes attention based networks, reinforcement learning and integration with 3d graphics, game engineering and physical input device development, this is the creative place for you.

This is an in-person position in downtown Los Angeles.

Job Type: Full-time

Pay: $148,294.00 – $158,965.00 per year

Schedule:
• Monday to Friday

Ability to commute/relocate:
• Los Angeles, CA 90023: Reliably commute or willing to relocate with an employer-provided relocation package (Required)

Education:
• Bachelor’s (Required)

Experience:
• Python: 2 years (Required)
• TensorFlow: 2 years (Required)

Work Location: One location
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2023 University Graduate – Machine Learning Engineer, Search & Discovery at Adobe

Location: Los Angeles

OUR COMPANY

Changing the world through digital experiences is what Adobe’s all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

The Opportunity:

Information retrieval is a critical part of Adobe’s Cloud offering. Adobe Cloud is brimming with billions of pieces of rich content and ever growing on daily basis. The kind of content ranges from images, photos, vectors, brushes, videos, composites, text documents,3D, and anything we could think of. Creative professionals and novice users alike need quick access to their digital assets, libraries, the variety of creative content, and documents they work with every day, from brushes to colors, images, videos and beyond. We have built a Search & Discovery Platform that powers multiple Adobe product lines such as Adobe’s Creative Cloud product, Experience Cloud, Document Cloud, and creative marketplace by enabling the world’s best creative tools, leading cloud services for managing creative assets, and the leading marketplace such as Adobe Stock. Search platform deals with billions of assets stored in cloud for variety of use cases ranging from privately accessible assets as in Lightroom, Creative cloud and others, shared assets via collaboration in creative cloud and experience cloud and public discoverable assets as in Adobe Stock Marketplace, Adobe.com, Adobe Learn & Tutorials content.

Search & Discovery platform deals with multiple modalities and is not limited to keyword search and supports searches based on image similarity, video similarity and combination of text and images and other permutations. We use state of the art machine learnt computer vision approaches to power this and take a look at Adobe Stock image search as an example.

Under Discovery Platform we are building a newer platform to provide state of art personalized suggestions in the whole creative process for our end users in multiple Adobe products by combining the richness of assets information and machine learning techniques.

Isn’t it exciting? Become part of this growing team at Adobe and have a phenomenal impact by contributing to search, browse, machine learning and recommendation across the creative suites of products at Adobe. We match the pace, innovation and excitement of a startup, backed by the resources and infrastructure of Adobe!

We’re looking for top notch technical talent to deliver Search as the core tenet in Adobe Cloud. Technical leadership entails influencing search indexing, Search algorithms, recommendation algorithms, relevance & ranking, visual search, data mining, machine learning, data analysis & metrics, query processing, multi-lingual search, search UX, and overall Adobe Cloud ecosystem. This is an opportunity to make a huge impact in a fast-paced, startup-like environment in a great company. Join us!

What You’ll Do:
• Help us take Search & Discovery for Adobe Creative Cloud & Document Cloud to the next level. Contribute to the technical roadmap for search / recommendation query services, search indexing, data mining, Search algorithms, Visual Search & deep learning in the context of the next generation Search & Discovery platform for Adobe.
• Help build a highly scalable, highly available, performant & reliable Search & Discovery platform to index billions of images, documents and other assets in real-time & power millions of Search queries from flagship Adobe product experiences including Adobe Photoshop, Adobe Acrobat & all Adobe asset management interfaces.

What You Need to Succeed:
• BS or MS in Engineering
• 2+ years of relevant experience in the industry
• 2+ years of proven experience working with Java/Python/C++ or similar languages
• 2+ years of experience in building solutions employing large scale distributed systems for high throughput , low latency applications
• Experience in Web services and REST
• Exposure to AWS / Microsoft Azure or the like for server side deployments
• 2+ in year experiences in using any of at least two of the following technology stacks i.e.
• Messaging Queues Kafka/SQS or others,
• No-SQL databases like HBase/Cassandra/Mongodb/CouchDB or others
• Real-time Ingestion systems like Apache Storm/Apache Flink/Kafka Streams or others
• Big Data Offline Processing systems like Apache Spark, Pig, Hadoop or others
• 1+ years of experience in building backend API layers via SOAP, Rest API, or others.

Nice to Haves
• Hands on experience in one of Hadoop Map Reduce / Spark
• Hands on experience in NoSQL stores like Cassandra, MongoDB , Couchbase or the like
• Hands on experience in message queuing systems like Kafka, RabbitMQ , ActiveMQ or the like
• Hands on experience in real time stream processing systems like Apache Storm, Apache Flink or the like
• Experience with Search Engine technologies
• Experience with Elastic Search or Solr
• Experience in RDBMS databases
• Experience in Git or Jenkins
• Exposure to Machine Learning
• Open Source Committer
• Presentation at Conferences
Apply Here
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Senior Machine Learning Engineer at Gemini

Location: Los Angeles

Empower the Individual Through Crypto
Gemini is a crypto exchange and custodian that allows customers to buy, sell, store, and earn more than 30 cryptocurrencies like bitcoin, bitcoin cash, ether, litecoin, and Zcash. Gemini is a New York trust company that is subject to the capital reserve requirements, cybersecurity requirements, and banking compliance standards set forth by the New York State Department of Financial Services and the New York Banking Law. Gemini was founded in 2014 by twin brothers Cameron and Tyler Winklevoss to empower the individual through crypto.
Crypto is about giving you greater choice, independence, and opportunity. We are here to help you on your journey. We build crypto products that are simple, elegant, and secure. Whether you are an individual or an institution, we want to help you buy, sell, and store your bitcoin and cryptocurrency. Crypto is not just a technology, it’s a movement.
At Gemini, our mission is to
empower the individual and that includes giving our employees flexibility of choice — our Office Optional Policy allows employees to choose to work from one of our physical locations or from home.
Select roles that are location-specific will still be eligible for flexible schedules.

The Department: Data
Data is central to all of our business functions and drive many of our most important decisions at Gemini. As a result, the analysts, scientists, and engineers that make up the Data team are uniquely positioned to advise and influence cross-functional projects. These projects cover a wide-range of topics including product strategy, user acquisition and journey, cryptocurrency performance and project development, and crypto’s position as a technology, industry, and asset class within the context of the global financial markets at large.
The Role: Senior Machine Learning Engineer (Python)
The Data Science team and AI stack are looking for senior data scientists and machine learning engineers who are interested in solving diverse and complex business problems. You will leverage your experience and communication skills to work across business teams to build and develop innovative machine learning models and algorithms.
Responsibilities
• Be able to distill complex models and analysis into compelling insights for our stakeholders and executives
• Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.
• Develop new tools and solutions to enable stakeholders to consume and understand data more intuitively
• Stay up-to-date with data science tools and methodologies in technology and financial domain
• Knowledge of probability and statistics, including experimental design, predictive modeling, optimization, and causal inference. Experience in design and deployment of real-world, large-scale, user-facing systems
• Manage your own process: identify and execute on high impact projects, triage external requests, and make sure you bring projects to conclusion in time for the results to be useful

Qualifications
• Masters or PhD(preferred) in Statistics, Applied Math, Computer Science or related fields
• 4+ years of work experience in analytics and data science domain focusing on business problems
• 3+ years of experience deploying statistical and machine learning models in production
• 2+ years of experience in integrating data science models into applications
• Skilled in programming languages like Python, Java/C++/C# and SQL
• Sound knowledge in dealing with large data sets for analytical approach and quantitative methods
• Solid understanding of machine learning fundamentals, and familiar with standard algorithms and techniques
• Good understanding of deep learning algorithms and workflows
• Ability to analyze a wide variety of data: structured and unstructured, observational and experimental, to drive system designs and product implementations
• Good understanding of cloud computing and infrastructure concepts
• Experience with one or more big data tools and technologies like Snowflake, Databricks, S3, Hadoop, Spark
• Experience working with NLP applications is a plus
• Experience with financial markets and/or retail finance is a plus. Specifically, across market making, trading, risk management, orderbooks, portfolio management, credit cards and fraud.
• Strong technical and business communication

It Pays to Work Here
We take a holistic approach to compensation at Gemini, which includes:
• Competitive Compensation and Profit-Sharing Equity
• Flexible vacation policy
• Retirement Plan Matching
• Generous Parental leave
• Comprehensive health plans
• Training and professional development

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace and affirmative action employer. If you have a specific need that requires accommodation, please let a member of the People Team know.
Apply Here
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Senior Machine Learning Engineer at Primer

Location: Los Angeles

At Primer, we build intelligent machines to help analysts, scientists, and other knowledge workers consume written information hyper-efficiently and focus their human intelligence on the most critical world problems to empower our customers by vastly reducing the cost of curiosity.
Primer is at the forefront of the natural language processing revolution.

Our artificial intelligence platform can read millions of documents per hour, extracting information and updating a knowledge graph of billions of entities.

It is capable of answering natural language questions and generating the first draft of natural language analytical reports in seconds.
Our customers include some of the worlds largest corporations, financial institutions, and government agencies.

As Senior Machine Learning Engineer , you will be responsible for formulating, designing and implementing machine learning systems.

This role requires your programming skills, your deep knowledge of applied mathematics, and your experience with state of the art machine learning techniques.
Just as important, this role requires your passion for applying cutting edge techniques to solve real-world problems.
How you will make an impact:
Translate product requirements into well-scoped machine learning problems
Analyze and improve our existing algorithms
Work with software engineers to deploy your algorithms at scale

Who you are:
MSc. or PhD. in computer science, statistics, computational linguistics, or related fields
3-7+ years of professional experience in the areas of developing and deploying quantitative models, machine learning, and NLP based-solutions
A deep understanding of the mathematics underlying machine learning
Experience with NLP problems such as topic modeling, named entity recognition, and summarization
Experience with a wide variety of supervised and unsupervised machine learning techniques
Experience with ML and NLP tools such as Scikit-learn, Tensorflow, Keras, and PyTorch
Curiosity, enthusiasm, and a love for teaching and learning

Bonus Points
Experience with open source distributed computing technologies such as Spark
Proficiency in non-English languages and experience with multilingual NLP problems
Experience with time series analysis
Familiarity with information retrieval systems

What We Offer:

We are a series C funded company with investors from Lux Capital, Amplify Partners, Addition Capital, Bloomberg Beta, and others.

We are intentional around building a diverse and inclusive team of subject matter experts to better advocate for the needs of our users.
We care a lot about our work and about the well being of our team.

We encourage everyone to work at a sustainable pace and have an unlimited vacation policy for team members to utilize, Wellness Days and 100% paid leave for parents of growing families.
We offer competitive compensation and comprehensive benefits.

This includes full medical, dental, and vision coverage, fertility benefits through Carrot, mental health coverage on demand with Ginger, 401(k) (US employees), remote work stipends, monthly internet allowance, and dedicated days off annually for you to volunteer for a cause that your heart calls you toward.
Primer is proud to be an Equal Employment Opportunity and Affirmative Action employer.

We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.

If you need assistance or accommodation due to a disability, you may contact us at

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Apply Here
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Staff Software Engineer (Machine Learning) – AI Accelerator at Riot Games

Location: Los Angeles

The AI Accelerator performs applied research to accelerate the pace of building AI enabled applications for our game teams and to establish AI as a core capability at Riot.

In this role, you will lead the engagement with an R&D game team to develop AI agents that can play the game at a high skill level. You will be responsible for the end-to-end development of the agent as well as any infrastructure required to train the agent or integrate the agent into features required by the game teams.

Responsibilities
• Propose, implement, and evaluate algorithms that can play games at a high skill level
• Work with game teams to propose, define, and develop AI enabled features (e.g. metagame analysis, player coaching, play vs AI)
• Integrate game servers into research & training infrastructure
• Develop and optimize a distributed training infrastructure including algorithms, hyperparameters, CPU, memory, and I/O
• Inform and manage stakeholders on game teams

Required Qualifications
• MS in Computer Science or equivalent with 6+ years software engineering experience or BS in Computer Science or equivalent with 8+ years software engineering experience
• 2+ years experience in deep learning
• 1+ years experience in reinforcement learning
• Experience in distributed computing systems design
• Significant experience with Python
• Expertise with Tensorflow or Pytorch
• Familiarity with cloud service providers (GCP or AWS)
• Experience with container orchestration tooling (Docker)

Desired Qualifications
• Game theory fundamentals
• Kubernetes, Databricks, SQL, Redis
• C++, Unreal Engine

Our Perks

We offer medical, dental, and vision plans that cover you, your spouse/domestic partner, and children. Life insurance, parental leave, plus short-term and long-term disability coverage are also available. Riot will support your retirement benefits with a company match, and double down on your donations of time and money to non-profit charitable organizations. Balance between work and personal life is encouraged with open paid time off, and a play fund so you can broaden and deepen your personal relationship with games.

It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance relating to an applicant’s criminal history (LAMC 189.00).
Apply Here
For Remote Staff Software Engineer (Machine Learning) – AI Accelerator roles, visit Remote Staff Software Engineer (Machine Learning) – AI Accelerator Roles

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