Fulltime Machine Learning Engineers openings in California on September 13, 2022

Machine Learning Engineer, 3+ Years of Experience at Snap Inc.

Location: Los Angeles

Snap Inc. is a camera company. We believe that reinventing the camera represents our greatest opportunity to improve the way people live and communicate. Our products empower people to express themselves, live in the moment, learn about the world, and have fun together.

Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.

Some core features we build and maintain include Snapchat’s Camera, Creative Tools, Maps, Chat, Memories, Stories, Discover, Games, and Minis. Our Infrastructure teams deliver an innovative and cost-efficient platform that ensures Snapchat is the fastest way to communicate with your friends, no matter where you are in the world. We have one of the fastest growing digital ad platforms, and our Monetization teams drive measurable returns for advertisers through novel ad formats like Augmented Reality. As a Snap Engineering team member, you’ll help us build the future of communication.

We’re looking for a Machine Learning Engineer to join Snap Inc!

What You’ll Do
• Create models which help drive value for users, advertisers, and our company
• Evaluate the technical tradeoffs of every decision
• Perform code reviews and ensure exceptional code quality
• Build robust, lasting, and scalable products Iterate quickly without compromising quality

Knowledge, Skills & Abilities
• Strong understanding of machine learning approaches and algorithms
• Able to prioritize duties and work well on your own
• Background working with both internal and external partners
• Background in solving open ambiguous problems
• Possesses a desire to learn and help others

Minimum Qualifications
• BS/BA degree in technical field such as computer science, mathematics, statistics or equivalent years of experience
• 3+ years ML industry experience or or PhD in computer science, mathematics, statistics, physics or related field

Preferred Qualifications
• Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
• M.S. degree and/or PhD in computer science or related field
• Experience working with machine learning, ranking infrastructures, and system designs

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. If you have a disability or special need that requires accommodation, please don’t be shy and contact us at accommodations-ext@snap.com.

Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid maternity & paternity leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!
Apply Here
For Remote Machine Learning Engineer, 3+ Years of Experience roles, visit Remote Machine Learning Engineer, 3+ Years of Experience Roles

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Principal Applied Machine Learning Engineer (Personalization) at Disney Media & Entertainment Distribution

Location: San Francisco

Principal Applied Machine Learning Engineer (Personalization)

Applied Machine Learning Engineers and Data Scientists on the Disney Streaming Machine Learning and Innovation team develop and maintain recommendation and personalization algorithms for Disney Streamings suite of streaming video apps, notably Disney+ and Hulu. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.

This is an Individual Contributor leadership role in content recommendations. You will be expected to lead recommendation and personalization algorithm research, development, and optimization for particular product areas, and to coordinate requirements and manage stakeholder expectations with Product, Engineering, and Editorial teams. You will be expected to help meet KPIs for product areas and to set and meet deadlines for external and internally facing tools, such as offline evaluation tools for pre-production algorithms.

As an IC leader, you will also be responsible for helping to set the roadmap for algorithmic work not only for how to approach product requests for new recommendation features, but for helping to drive larger company objectives in the areas of personalization and content recommendation.
• Algorithm development and maintenance:Utilize cutting edge machine learning methods to develop algorithms for personalization, recommendation, and other predictive systems; maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teams
• Analysis and Algorithm Optimization: Perform deep dive analysis on app interactions and user profiles as they relate to algorithm output in order to drive improvements in key personalization metrics
• MVP development:Develop innovative machine learning products to be used for new production features or downstream by production algorithms
• Development Best Practices:Maintain existing and establish new algorithm development, testing, and deployment standards
• Collaborate with product and business stakeholders: Identify and define new personalization opportunities and work with other data teams to improve how we do data collection, experimentation and analysis
Required Qualifications:
• 10+ years of analytical experience
• 8+ years of experience developing machine learning models and performing data analysis with Python or R
• 8+ years writing production-level, scalable code (e.g. Python, Scala)
• Bachelor’s degree in statistics, math, computer science, (or related field) or equivalent work experience
• Experience developing algorithms for deployment to production systems
• Experience working cross functionally with technical and non-technical teams to solve complex problems
• In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings
• Experience with cloud services in a production environment (particularly AWS)
• Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
• Understanding of statistical concepts (e.g., hypothesis testing, regression analysis)
• Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick, effective solutions as appropriate
• Strong written and verbal communication skills
• Ability to explain how models are used and algorithms behave to both technical and non-technical audiences
Preferred Qualifications:
• MS or PhD in statistics, math, computer science, or related quantitative field
• Production experience with developing content recommendation algorithms at scale
• Production experience with graph based models (e.g. node2vec)
• Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment
• Experience with graph-based data workflows such as Apache Airflow
• Experience engineering big-data solutions using technologies like EMR, S3, Spark, Databricks
• Familiar with metadata management, data lineage, and principles of data governance
• Experience loading and querying cloud-hosted databases such as Snowflake
• Building streaming data pipelines using Kafka, Spark, or Flink
• Familiarity with automated deployment, AWS infrastructure, Docker or similar containers
Additional Information:

Location: New York, NY, San Francisco, CA or Seattle, WA preferred but also open to US Remote for the right candidate

The pay range for this position in Colorado is $142,352 to $190,960 per year, however, base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. A bonus and/or long term incentive units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Apply Here
For Remote Principal Applied Machine Learning Engineer (Personalization) roles, visit Remote Principal Applied Machine Learning Engineer (Personalization) Roles

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Machine Learning Engineer at TensorIoT

Location: Long Beach

Job Description

Accepting remote candidates in the following states: Arizona, California, Colorado, Delaware, Florida, Maryland, Minnesota, North Carolina, Nevada, New York, Texas, Virginia, Washington, and Wisconsin.

TensorIoT an APN Advanced Consulting Partner. We help companies realize the value and efficiency of the AWS ecosystem. From building PoCs and MVPs to production ready applications, we are tackling complex business problems every day and developing solutions to drive customer success.

TensorIoT is looking for skilled machine learning engineers to join our Machine Learning & AI Team! We are currently trying to grow our Machine Learning practice with enthusiastic and smart data scientists who have excellent analytical and communication skills and a track record of using end-to-end data science workflows to build ML/DL/AI models. The individual would be responsible for finding and implementing ML solutions to a broad scope of customer needs in a dynamic industry setting.

Basic Qualifications:

-AWS Certification (Solutions Architect Associate, Developer, DevOps, or ML Specialty)

-Masters Degree in a highly quantitative field (Computer Science, Machine Learning, Data/Information Sciences, Statistics, Mathematics, etc.) or equivalent experience

-4+ years of industry experience in predictive modeling, data science and analysis

-Experience with collecting, cleansing and parsing data

-2+ years experience using Sagemanker

-2+ years experience using Python and/or R

-2+ years experience with handling and manipulating large data sets

-Track record of diving into data to discover hidden patterns

-Track record of building ML or DL models in a production environment

-Familiarity with using data visualization tools

-Ability to present and communicate complex technical concepts to a broad audience of stakeholders

-Strong written and verbal communication skills

Preferred Qualifications:

-PhD in a highly quantitative field (Computer/Information Science, Machine

-Learning, Operational Research, Statistics, Mathematics, etc.)

-Consulting experience and track record of helping customers with their AI needs

-Experience with AWS technologies for storage, compute and ML

-Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment

Job Type: Full-time

Salary: $80,000.00 – $100,000.00 per year

Benefits:
• 401(k)
• 401(k) matching
• Dental insurance
• Flexible schedule
• Health insurance
• Life insurance
• Paid time off
• Parental leave
• Vision insurance

Company Description
TensorIoT’s founders helped build world-class IoT and AI platforms at AWS, and Google and are now creating solutions to simplify the way enterprises incorporate edge devices and their data into their day to day operations. Our mission is to help connect devices and make them smarter. Our founders firmly believe in the transformative potential of smarter devices to enhance our quality of life and we’re just getting started! Connect with us today to learn more!
Apply Here
For Remote Machine Learning Engineer roles, visit Remote Machine Learning Engineer Roles

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Machine Learning Engineer, 5+ Years Experience at Snap Inc.

Location: San Francisco

Snap Inc. is a camera company. We believe that reinventing the camera represents our greatest opportunity to improve the way people live and communicate. Our products empower people to express themselves, live in the moment, learn about the world, and have fun together.

Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.

Some core features we build and maintain include Snapchat’s Camera, Creative Tools, Maps, Chat, Memories, Stories, Discover, Games, and Minis. Our Infrastructure teams deliver an innovative and cost-efficient platform that ensures Snapchat is the fastest way to communicate with your friends, no matter where you are in the world. We have one of the fastest growing digital ad platforms, and our Monetization teams drive measurable returns for advertisers through novel ad formats like Augmented Reality. As a Snap Engineering team member, you’ll help us build the future of communication.

We’re looking for a Machine Learning Engineer to join Snap Inc!

What You’ll Do
• Create models which help drive value for users, advertisers, and our company
• Evaluate the technical tradeoffs of every decision
• Perform code reviews and ensure exceptional code quality
• Build robust, lasting, and scalable products Iterate quickly without compromising quality

Knowledge, Skills & Abilities
• Strong understanding of machine learning approaches and algorithms
• Able to prioritize duties and work well on your own
• Background working with both internal and external partners
• Background in solving open ambiguous problems
• Possesses a desire to learn and help others

Minimum Qualifications
• BS/BA degree in technical field such as computer science, mathematics, statistics or equivalent years of experience
• 5+ years ML industry experience or or PhD in computer science, mathematics, statistics, physics or related field

Preferred Qualifications
• Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
• M.S. degree and/or PhD in computer science or related field
• Experience working with machine learning, ranking infrastructures, and system designs

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. If you have a disability or special need that requires accommodation, please don’t be shy and contact us at accommodations-ext@snap.com.

Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid maternity & paternity leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!
Apply Here
For Remote Machine Learning Engineer, 5+ Years Experience roles, visit Remote Machine Learning Engineer, 5+ Years Experience Roles

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Principal Applied Machine Learning Engineer (Personalization) at Disney Media & Entertainment Distribution

Location: Diablo

Principal Applied Machine Learning Engineer (Personalization)

Applied Machine Learning Engineers and Data Scientists on the Disney Streaming Machine Learning and Innovation team develop and maintain recommendation and personalization algorithms for Disney Streamings suite of streaming video apps, notably Disney+ and Hulu. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.

This is an Individual Contributor leadership role in content recommendations. You will be expected to lead recommendation and personalization algorithm research, development, and optimization for particular product areas, and to coordinate requirements and manage stakeholder expectations with Product, Engineering, and Editorial teams. You will be expected to help meet KPIs for product areas and to set and meet deadlines for external and internally facing tools, such as offline evaluation tools for pre-production algorithms.

As an IC leader, you will also be responsible for helping to set the roadmap for algorithmic work not only for how to approach product requests for new recommendation features, but for helping to drive larger company objectives in the areas of personalization and content recommendation.
• Algorithm development and maintenance:Utilize cutting edge machine learning methods to develop algorithms for personalization, recommendation, and other predictive systems; maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teams
• Analysis and Algorithm Optimization: Perform deep dive analysis on app interactions and user profiles as they relate to algorithm output in order to drive improvements in key personalization metrics
• MVP development:Develop innovative machine learning products to be used for new production features or downstream by production algorithms
• Development Best Practices:Maintain existing and establish new algorithm development, testing, and deployment standards
• Collaborate with product and business stakeholders: Identify and define new personalization opportunities and work with other data teams to improve how we do data collection, experimentation and analysis
Required Qualifications:
• 10+ years of analytical experience
• 8+ years of experience developing machine learning models and performing data analysis with Python or R
• 8+ years writing production-level, scalable code (e.g. Python, Scala)
• Bachelor’s degree in statistics, math, computer science, (or related field) or equivalent work experience
• Experience developing algorithms for deployment to production systems
• Experience working cross functionally with technical and non-technical teams to solve complex problems
• In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings
• Experience with cloud services in a production environment (particularly AWS)
• Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
• Understanding of statistical concepts (e.g., hypothesis testing, regression analysis)
• Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick, effective solutions as appropriate
• Strong written and verbal communication skills
• Ability to explain how models are used and algorithms behave to both technical and non-technical audiences
Preferred Qualifications:
• MS or PhD in statistics, math, computer science, or related quantitative field
• Production experience with developing content recommendation algorithms at scale
• Production experience with graph based models (e.g. node2vec)
• Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment
• Experience with graph-based data workflows such as Apache Airflow
• Experience engineering big-data solutions using technologies like EMR, S3, Spark, Databricks
• Familiar with metadata management, data lineage, and principles of data governance
• Experience loading and querying cloud-hosted databases such as Snowflake
• Building streaming data pipelines using Kafka, Spark, or Flink
• Familiarity with automated deployment, AWS infrastructure, Docker or similar containers
Additional Information:

Location: New York, NY, San Francisco, CA or Seattle, WA preferred but also open to US Remote for the right candidate

The pay range for this position in Colorado is $142,352 to $190,960 per year, however, base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. A bonus and/or long term incentive units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Apply Here
For Remote Principal Applied Machine Learning Engineer (Personalization) roles, visit Remote Principal Applied Machine Learning Engineer (Personalization) Roles

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Senior Machine Learning Engineer (Python, AWS) at Ursus, Inc.

Location: El Segundo

Job Description

JOB TITLE: Sr. Machine Learning Engineer
LOCATION: 100% Remote
DURATION: Direct Hire

SUMMARY: The mission of the Machine Learning (Client) team at our client is to build and deliver business critical Client solutions. As a key member of the Client team you will work on a broad range of business/technical problems and technologies, build machine learning models, and design/automate/deploy production machine learning pipelines. As a Senior Machine Learning Engineer, you will have the opportunity to make an outsized impact on the future direction of our Client platform. The problem domains you will work on will be diverse and include pricing, smart routing and user modeling. You should be comfortable and effective working remotely or with remote team members. To be successful, in addition to a strong technical background, you must also be an excellent communicator in all dimensions: able to truly listen and understand the most important challenges across the engineering org, while also being a champion and evangelist for the right technical solutions.

RESPONSIBILITIES:
Design, build, automate, deploy and maintain machine learning production pipelines.
Implement machine learning model lifecycle management, including automated model performance evaluation and retraining.
Work with large amounts of structured and unstructured data.
Build Client models to solve critical business needs across core domains.
Help develop the next generation of our client’s proprietary pricing engine.
Integrate state of the art industry tools into our client’s Client platform
Collaborate with other engineering teams to integrate machine learning into the wider technology platform.
Write clear technical documentation and communicate processes and results effectively, both at the team level as well as across the company..

QUALIFICATIONS:

5+ years relevant engineering work experience.
BS Degree in Computer Science or related field; with project experience in machine learning and/or statistical modeling.
Working knowledge of databases and SQL.
Experience creating Client and/or data pipelines.
Development experience in Python is strongly preferred.
Knowledge of common machine learning concepts, frameworks and libraries.
Experience working with public cloud. AWS (strongly preferred), GCP, Azure.
Track record of leading initiatives and working autonomously.
Strong communications skills, and ability to influence/educate across the entire org.
Bonus points for experience with:
Pipeline automation tools like Airflow.
Previous experience with applying Client to problems in logistics, pricing, routing, recommendation engines or similar projects.

IND123
Apply Here
For Remote Senior Machine Learning Engineer (Python, AWS) roles, visit Remote Senior Machine Learning Engineer (Python, AWS) Roles

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Machine Learning Infrastructure Engineer at Grabango

Location: Berkeley

Who we are:

Grabango is the leading provider of checkout-free shopper technology for existing stores. Founded by Will Glaser (former founder & CTO of Pandora Media), the Grabango team has developed the only enterprise class solution for large store chains in the market today. Grabango’s system accommodates thousands of store locations, hundreds of thousands of SKUs and millions of square feet across a given retail enterprise.

We’re a growing group of curious, self-directed people working towards a common goal. We delight in taking risks and testing hypotheses in a collaborative environment. Our ability to celebrate both our successes and failures as milestones of progress opens the door to tremendous breakthroughs.

Computer vision and machine learning are at the core of our patent pending technology. Our accomplished team is a powerful combination of technology and commerce professionals that are working to “Eliminate lines and save people time!”

Overview:

We use computer vision, machine learning, and general feats of information processing to understand shopping, eliminate checkout lines, and save you time.

The experience of leaving a store without stopping to checkout feels like magic. We’re making that magic happen behind the scenes by processing data gathered from distributed sensor networks, turning sets of isolated observations into coherent narratives.

This full-time role reports directly to the Director of Computer Vision and is based in Berkeley.

What you’ll be doing:
• Collaborating across multiple research and engineering disciplines and assessing technology tradeoffs required to rapidly deliver software solutions
• Analyzing, designing and developing software for embedded and cloud platforms focused on solving complex and as yet undefined machine learning problem
• Getting up to speed on our various systemsLearning about our technology and how/why we will use machine learning
• Reviewing our tools and code to help us continue moving at state-of-the-art speed
• Collaborate on current projects while understanding our development process
• Contributing/leading new projects, tools and frameworks to understand and use our computer vision data as part of a machine learning pipeline to provide checkout-free shopping

What you should have:
• 3+ years software engineer experience using some combination of Python, C++
• 1 year of experience as a Machine Learning Engineer or, completion of ML Courses from Udacity.
• Nice to have: Some data engineering experience with big data tools is helpful.
• Interest in moving to a full time Machine Learning role.
• Ability to design and prototype software in simple, understandable code
• Familiarity with software engineering best practices in an Agile environment
• Familiarity with libraries/packages/APIs (e.g. scikit-learn, Keras, PyTorch, TensorFlow, etc.)
• Familiarity with linux/unix
• Familiarity with basic machine learning concepts and metrics
• An understanding of how different ML pipeline pieces work together and how to communicate with them (using SQL database queries, REST APIs, etc.) and the ability to build appropriate interfaces for your component that others will depend on
• Familiar with ML Experiment at scale, ML experiment artifacts management and Machine Learning model deployment.
• Google compute for cloud computing preferred but experience with AWS is also relevant.
• Nice to have: Familiarity with Spark/Dataproc for experiment at scale, mlflow for experiment management.

Education & Certifications:
• Masters or Bachelors in Computer Science or a related field or equivalent real world experience in a related field.

Grabango Values:

Integrity: Do the right thing, particularly when you don’t have to.

Bold Innovation: Think recklessly, but temper your actions with pragmatism.

People Matter: Hire the best, and treasure them.

Don’t Live with Broken: Have the courage to admit mistakes, and the urgency to correct them.

Customer Focus: Deliver beyond expectations, both internally and externally.

Inclusion: Foster an environment that welcomes all.

Simplify: Everything should be made as simple as possible, but not simpler.

Grabango is proud to be an equal opportunity employer and is committed to developing a workplace where diversity and inclusion are an essential part of who we are. We strive to hire and support a workforce as diverse as our shopper base, so we can develop products and services that best suit our customers. We do not make employment decisions based on race, color, religion, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status and we comply with all local, state and federal employment laws.

Grabango participates in the E-Verify Program, an internet-based system operated by the Department of Homeland Security and the Social Security Administration. It allows employers to confirm an individual’s employment eligibility to work in the United States.
Apply Here
For Remote Machine Learning Infrastructure Engineer roles, visit Remote Machine Learning Infrastructure Engineer Roles

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Machine Learning Engineer, 3+ Years of Experience at Snap Inc.

Location: Palo Alto

Snap Inc. is a camera company. We believe that reinventing the camera represents our greatest opportunity to improve the way people live and communicate. Our products empower people to express themselves, live in the moment, learn about the world, and have fun together.

Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.

Some core features we build and maintain include Snapchat’s Camera, Creative Tools, Maps, Chat, Memories, Stories, Discover, Games, and Minis. Our Infrastructure teams deliver an innovative and cost-efficient platform that ensures Snapchat is the fastest way to communicate with your friends, no matter where you are in the world. We have one of the fastest growing digital ad platforms, and our Monetization teams drive measurable returns for advertisers through novel ad formats like Augmented Reality. As a Snap Engineering team member, you’ll help us build the future of communication.

We’re looking for a Machine Learning Engineer to join Snap Inc!

What You’ll Do
• Create models which help drive value for users, advertisers, and our company
• Evaluate the technical tradeoffs of every decision
• Perform code reviews and ensure exceptional code quality
• Build robust, lasting, and scalable products Iterate quickly without compromising quality

Knowledge, Skills & Abilities
• Strong understanding of machine learning approaches and algorithms
• Able to prioritize duties and work well on your own
• Background working with both internal and external partners
• Background in solving open ambiguous problems
• Possesses a desire to learn and help others

Minimum Qualifications
• BS/BA degree in technical field such as computer science, mathematics, statistics or equivalent years of experience
• 3+ years ML industry experience or or PhD in computer science, mathematics, statistics, physics or related field

Preferred Qualifications
• Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
• M.S. degree and/or PhD in computer science or related field
• Experience working with machine learning, ranking infrastructures, and system designs

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. If you have a disability or special need that requires accommodation, please don’t be shy and contact us at accommodations-ext@snap.com.

Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid maternity & paternity leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!
Apply Here
For Remote Machine Learning Engineer, 3+ Years of Experience roles, visit Remote Machine Learning Engineer, 3+ Years of Experience Roles

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REMOTE Machine Learning Operations Engineer (ML Ops) at Jobot

Location: Los Angeles

We are a Series A CyberSecurity startup with elite professional CS services across cloud infrastructure, blockchain/smart contracts, and IoT.

This Jobot Job is hosted by Kurt Holzmuller

Are you a fit? Easy Apply now by clicking the “Apply” button and sending us your resume.

Salary $150,000 – $200,000 per year

A Bit About Us

We are a Series A CyberSecurity startup with elite professional CS services across cloud infrastructure, blockchain/smart contracts, and IoT. Our teams are made up of some of the brightest minds in the cybersecurity space and you will be responsible for developing core features/functions to help secure the world.

As an ML Ops Engineer on our team, you will be responsible for deploying, maintaining, and optimizing ML models in a production environment. This will include creating tools to provide feedback from production ML models and find/ingest/organize and validate datasets.

Why join us?
• Competitive Salary DOE
• Comprehensive Benefits Package (90% employee coverage)
• Employee Stock Options
• 401k with 4% match
• Annual training, certification, and conference budget
• Generous PTO

Job Details

MUST HAVE
• BS in a related field OR equivalent professional experience
• 5+ years of machine learning or data engineering experience
• GCP or AWS
• PyTorch/Tensorflow
• Kafka
• Development Python, Go, or Java
• Docker/Kubernetes

NICE TO HAVE
• SaaS or Cybersecurity startup experience
• Google Vertex AI Platform, Google Compute Engine, Cloud Storage
• microservices

Interested in hearing more? Easy Apply now by clicking the “Apply” button.
Apply Here
For Remote REMOTE Machine Learning Operations Engineer (ML Ops) roles, visit Remote REMOTE Machine Learning Operations Engineer (ML Ops) Roles

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REMOTE Machine Learning Operations Engineer (ML Ops) at Jobot

Location: San Diego

We are a Series A CyberSecurity startup with elite professional CS services across cloud infrastructure, blockchain/smart contracts, and IoT.

This Jobot Job is hosted by Kurt Holzmuller

Are you a fit? Easy Apply now by clicking the “Apply” button and sending us your resume.

Salary $150,000 – $200,000 per year

A Bit About Us

We are a Series A CyberSecurity startup with elite professional CS services across cloud infrastructure, blockchain/smart contracts, and IoT. Our teams are made up of some of the brightest minds in the cybersecurity space and you will be responsible for developing core features/functions to help secure the world.

As an ML Ops Engineer on our team, you will be responsible for deploying, maintaining, and optimizing ML models in a production environment. This will include creating tools to provide feedback from production ML models and find/ingest/organize and validate datasets.

Why join us?
• Competitive Salary DOE
• Comprehensive Benefits Package (90% employee coverage)
• Employee Stock Options
• 401k with 4% match
• Annual training, certification, and conference budget
• Generous PTO

Job Details

MUST HAVE
• BS in a related field OR equivalent professional experience
• 5+ years of machine learning or data engineering experience
• GCP or AWS
• PyTorch/Tensorflow
• Kafka
• Development Python, Go, or Java
• Docker/Kubernetes

NICE TO HAVE
• SaaS or Cybersecurity startup experience
• Google Vertex AI Platform, Google Compute Engine, Cloud Storage
• microservices

Interested in hearing more? Easy Apply now by clicking the “Apply” button.
Apply Here
For Remote REMOTE Machine Learning Operations Engineer (ML Ops) roles, visit Remote REMOTE Machine Learning Operations Engineer (ML Ops) Roles

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