Fulltime Machine Learning Engineers openings in California on September 14, 2022

Machine Learning Engineer at NewsBreak

Location: Mountain View

Location: Mountain View, CA or Bellevue, WAAbout NewsBreakNews Break defines a new way for users to engage with local news and community. We connect and empower local users, local content contributors, and local businesses at scale, with the goal of helping people everywhere live safer, more vibrant, more truly connected lives. By forging close partnerships with thousands of local publishers and businesses around the country, NewsBreak is helping a new generation of readers find and engage with vital, locally published content and information.Since our founding in 2015, we have grown by leaps and bounds to become the nation’s leading local news app! We’re the #1 app in the category on both iOS and Android.We’re a Series-C unicorn startup, headquartered at Mountain View, California. For more information, visit www.newsbreak.com/aboutAbout the RoleResponsibilities Develop highly scalable tools leveraging machine learning models to solve problems such as classification, clustering, topic modeling, natural language processing and recommendation Develop in-house machine learning tools and pipelines to support fast experimentation of machine learning models Work with other engineers to identify and solve machine learning problems RequirementsMinimum Qualifications Experience in one or more of the following areas: machine learning, data mining, computer vision, and natural language processing Experience with machine learning frameworks such as TensorFlow, PyTorch or MXNet Expert knowledge in C/C++ and Python Preferred Qualifications MS degree in Computer Science or related quantitative field with 3+ years of machine learning related work or research, or PhD degree in Computer Science or related quantitative field Industry experience with developing and deploying machine learning models in production Contributions to research communities/efforts, including publishing papers in machine learning (AAAI, ICLR, NeurIPS, ICML, KDD, CVPR) Benefits Health, dental, and vision care for you and your family Robust 401(K) plan with company matching Paid time off and paid holidays Paid parental leave FSA and commuter benefits programs Team activity budget Come join us in continuing to make NewsBreak a great place to work!
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Machine Learning Research, Data Science Engineer at Lockheed Martin

Location: Sunnyvale

The coolest jobs on this planet… or any other… are with Lockheed Martin Space.

At the dawn of a new space age, Lockheed Martin is a pioneer, partner, innovator and builder. Our amazing people are on a mission to make a difference in the world and every single day we use our unique skills, talents and experiences to design and build solutions to some of the world’s hardest engineering problems.

Do you want to be part of a culture that inspires employees to envision the impossible, perform with excellence and build incredible products? We provide the resources, inspiration and focus if you have the passion and courage to dream big, then we want to build a better tomorrow with you.

Advanced Programs Remote Sensing has an exciting opening for an AI/ML Research/Data Science Engineer. This is a dynamic development of software for mission data processing applications for research & development and contracts. The position would participate in all aspects of the software life cycle, requirements, object oriented design, documents, diagrams, coding, and formal testing and integration. The R&D work involves high order image processing techniques, including object detection and tracking, object recognition, change detection, activity based intelligence, pattern of life, and motion imagery.

Typically has 5 – 10 years of professional experience.

Here Are Some Of The Benefits You Can Enjoy

Our employees play an active role in strengthening the quality of life where we live and work by volunteering more than 850,000 hours annually.
• Medical
• Dental
• 401k
• Paid time off
• Work/life balance
• Career development
• Mentorship opportunities
• Rewards & recognition

Learn more about Lockheed Martin’s competitive and comprehensive benefits package.
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Machine Learning Engineer at SynergisticIT

Location: Pasadena

About Us:

Synergistic IT is a full-service staffing and placement firm servicing client in America for the past 12+ years. We are dedicated towards fulfilling the IT needs of our clients. From staffing to full implementation of projects we provide the highest quality IT Services. We don’t just help you secure a Tech Job, but we build your solid career in technology.

Job description


• Python, Model Training/Testing Primary

• Working on the awesome AI product for document information extraction.
• Build the next-generation information extraction product state-of-the-art AI and Deep Learning techniques.
• Work with an international top-notch engineering team with full commitment on

Machine Learning development.

Required Candidate profile


• Passionate about search amp; AI technologies. Open to collaborating with colleague’s amp; external contributors.
• Good understanding about the mainstream deep learning models from multiple domains: computer vision, NLP, reinforcement learning, model optimization etc.
• Skilled in the following programming languages:
Python 3.
• Good English skills especially for writing and reading documentation

Education Requirement:

Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information Technology/ Electrical Engineering/ Mechanical Engineering.

Benefit’s of working with our clients:
• E-Verified.
• Filing of H1b and Green Card.
• Long Term Positions
• On Job Technical Support.

Candidate who are missing the required skills, might be provided an option to enhance their skills, so that they can also apply for the role and can make a career in IT industry.

If you do respond via e-mail, please include a daytime phone number so that we can reach you. In considering candidates, time is of the essence, so please respond ASAP. Thank you
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Artificial Intelligence Engineer at Synergy Interactiver

Location: Belmont

Seeking AI Engineer with experience in Machine Learning.

Long Term Contract- 12+ Months

• Work with cutting edge AI/ML method technologies
• Build fuctional prototypes

• Master of Science Degree in Engineering, Computer Science or related field or PhD strongly preferred.
• Experience with RNN, CNNs, LSTMs, and the latest research trends
• Expereince with Python, Pytorch, Tensorflow, or Keras
• Cloud or Big Data Experience
• Experience with GPU programming/distributed systems
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Machine Learning Engineer – Director at SonicJobs

Location: San Jose

• Experience in evaluating Machine learning and Neural Net models.
• Familiarity with dataset cleaning and understanding features.
• Hands on programming experience in C/C++ or Python.
• Prototyping ML models using python.
• Hands on experience in TensorFlow, Scikit-learn .
• Good communication skills .
• Bachelors/Masters/PHD in Electrical engineering , computer science or equivalent.
• Minimum 3 years of working experience in the industry.
• Experience in evaluating Machine learning and Neural Net models.
• Familiarity with dataset cleaning and understanding features.
• Hands on programming experience in C/C++ or Python.
• Prototyping ML models using python.
• Hands on experience in TensorFlow, Scikit-learn .
• Good communication skills .
• Bachelors/Masters/PHD in Electrical engineering , computer science or equivalent.
• Minimum 3 years of working experience in the industry.
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Machine Learning Engineer at Jobot

Location: Los Angeles

(REMOTE) Machine Learning Engineering opportunity – Stable Organization in Growth Mode!

This Jobot Job is hosted by David DeCristofaro

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

Salary $150,000 – $180,000 per year

A Bit About Us

With over 30 years in business, we are a global leader in providing value-added services to niche markets. Our investors and leadership teams are comprised of successful Tech Entrepreneurs, Professional Athletes, and other private investors. A tech-centric mindset helps us continue to remain a leader in the industry, and always strive put our best product forward to our customers.

If you are forward-thinking, enjoy a technical environment that fosters growth, then please read on….

Why join us?
• Excellent Benefits and Matching 401K!
• Excellent Work/Life Balance!
• Fun Working Environment!
• Employee Discounts!
• Top Investors and Technical Leadership!

Job Details

We are looking for a Machine Learning Engineer with experience working in high-growth environments. Research and Data Science experience is appreciated, but not needed for this role. We are looking for individuals to work on productionizing ML models and pushing ML models into AWS cloud.
• Software Engineering background in Python and/or Golang
• Extensive knowledge of ML frameworks and libraries (TensorFlow, PyTorch, JAX, scikit-learn)
• Design and build machine learning models to solve classification, regression, and machine vision problems
• Perform hyper-parameter tuning for existing ML models
• Implement production ready pipelines for ML prediction and training
• Understanding of data structures, data modeling and software architecture
• In-depth knowledge of mathematics, probability statistics, and algorithms
• Experience with Random Forest and Gradient Boosting Machines (LightGBM, XGBoost, CatBoost) is a plus

Interested in hearing more? Easy Apply now by clicking the “Apply” button.
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Machine learning engineer at The Walt Disney Company

Location: San Francisco

Job ID 7114099720220206 Location San Francisco, California, United States Business Lucasfilm Date posted Sep. 13, 2022 Flex Type Hybrid

This role is considered hybrid, which means the employee will work a portion of their time on-site from a Company designated location and the remainder of their time remotely.

Job Summary : Job Summary :

Job Summary :

The Lucasfilm Advanced Development Group (ADG) is looking for Software Engineers to join our team. As an Associate Machine Learning Engineer at the ADG, you will apply your knowledge and expertise to real production issues facing our creative clients across Lucasfilm, ILM, and ILMxLAB.

We are seeking engineers with deep technical knowledge in this rapidly- advancing field to join ADG to push the boundaries of ILM’s Virtual Production tools and empower the creation of Disney’s Metaverse.

Responsibilities :

Maintain and support cutting edge machine learning solutions in production projects

Maintain and support solutions for content and artist-facing problems across our global studios, such as our ML-based appearance transfer pipeline

Maintain, support and document the accumulation of training data for ML application at the company

Provide front-line support for end-users and assist with technical issues, coach system use and raise any usability or bugs with the Pipeline team to resolve

Collaborates with the ADG DevOps and other ILM technology departments to build scalable and robust systems for all ILMxLAB, Virtual Production and Virtual Art Department productions

Creates and maintains clear and concise documentation outlining the use of products and solutions in production

Participate in special projects as needed

Basic Qualifications :

Bachelor’s degree in Computer Science or related technical field or equivalent professional experience

0-3 years of relevant experience

Academic experience of machine learning and artificial intelligence, with knowledge of generative models, GANS, neural networks (CNNs, RNNs) , gradient based optimization

Academic experience with one or more general purpose programming languages including but not limited to : C / C++, Python

Applying ML techniques specifically in the visual / image space, e.g. ML encoded image processing, differentiable rendering, inverse rendering

Excellent 3D math skills including linear algebra and vectors

Driven and self-motivated individual with excellent problem-solving skills

Must be detail-oriented and organized, possess strong communication skills, and be able to handle a variety of tasks in an efficient and decisive manner

Preferred Experience

Familiarity with DCC packages such as Maya

Familiarity with real-time game-engine development such as Unity or Unreal


Last updated : 2022-09-14
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Artificial Intelligence, Machine Learning (AI/ML) Engineer at Maxonic

Location: Piedmont

Job Description
We have an urgent job requirement with one of our direct client in Oakland, CA.
Details are as follows,

Job Title: Artificial Intelligence, Machine Learning (AI/ML) Engineer
Location: Oakland, CA (Remote job)
Duration: 5+ months Contract

Job Description
The Artificial Intelligence, Machine Learning (AI / ML) Engineer will be responsible for building Artificial Intelligence, Machine Learning, and Data Science Products and Solution. We’re looking for engineers with a passion for Artificial Intelligence to help drive a new generation of data and machine learning enabled services and products to impact healthcare.
You will enjoy working with a highly talented and diverse team of data scientists and engineers specializing in deep learning, active learning, and classical machine learning on one of the richest data sets in US healthcare.
You’ll be equipped with nearly limitless cloud compute resources and be expected to deliver business impact through implementation of a large pipeline of AI models.
The ideal candidate will have a strong background in Python and AWS cloud, have experience working with large data sets, and have experience in building and deploying data-driven solutions.
You are focused on results, a self-starter, able to put the team-first, and have demonstrated success in using data science to develop and deploy solutions with a focus on impact.

Position Responsibility:
Provide technical leadership and implementation for Software Engineering projects supporting our AI and machine learning goals
Modifies, implements, tests, and supports all product related technology and functionality, including software infrastructure in an AWS hosted environment
Demonstrates strong drive to learn and advocate for development best practices (TDD, code reviews, continuous integration, etc.)
Communicates proactively and effectively with team members and other product stakeholders in a highly Agile environment
Self-starter that will take tasks and accomplish them with little oversight according to timelines and budgets agreed upon with business and technology stakeholders

Minimum Qualifications:
You have 5+ years’ experience working on applications of machine learning with strong to expert ability in Python as a primary language

Critical Skills:
Experience building automated processes that are supportable, monitored, and enterprise-scale
Extensive experience building Chatbots, Voicebots and NLP processing
Experience working with and integrating services from popular ML packages such as Keras, TensorFlow, XGBoost, SciKit Learn
Above average capabilities with cloud computing techniques or tools such as S3, EC2, EMR, SageMaker, ECS, Lambda, IAM
SQL design and development skills

Additional Knowledge & Skills:
Spark or Pyspark experience preferred
Experience building/consuming REST web services
Demonstrated initiative with learning new technologies
Exceptional interpersonal and communication skills.

About Maxonic: Since 2002 Maxonic has been at the forefront of connecting candidate strengths to client challenges. Our award winning, dedicated team of recruiting professionals are specialized by technology, are great listeners, and will seek to find a position that meets the long-term career needs of our candidates. We take pride in the over 5,000 candidates that we have placed, and the repeat business that we earn from our satisfied clients.

Interested in Applying?
Please send me your resume, ASAP and apply below with your most current resume and anything else you’d like me to know about you commute preferences, desired work environments, etc. I promise to get back to you within 24 hours. Feel free to email, bikram.a@maxonic.com or call at, (510)-613-4996
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For Remote Artificial Intelligence, Machine Learning (AI/ML) Engineer roles, visit Remote Artificial Intelligence, Machine Learning (AI/ML) Engineer Roles


Software Engineer III, Machine Learning, Core at Google

Location: San Francisco

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Atlanta, GA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA.

Minimum qualifications:
• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
• 2 years of experience with data structures or algorithms in either an academic or industry setting.

Preferred qualifications:
• Master’s degree or PhD in Computer Science or related technical field.
• 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning and/or natural language processing.
• Experience developing accessible technologies.

About The Job

Google’s software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We’re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

• Write product or system development code.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. 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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
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2023 Audio AI Engineer – New Grad at Zoom

Location: San Jose

Work Styles at Zoom

In most cases, you will have the opportunity to choose your preferred working location from the following options when you join Zoom: in-person, hybrid or remote. Visit this page for more information about Zoom’s Workstyles.

About Us

Zoomies help people stay connected so they can get more done together. We set out to build the best video product for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.

We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Here, you’ll work across teams to deliver impactful projects that are changing the way people communicate and enjoy opportunities to advance your career in a diverse, inclusive environment.

What You’ll Be Doing:
• Design and implement machine learning models on front end audio tasks to improve audio quality in Zoom’s online meeting (e.g. Noise Suppression, Voice Activity Detection, Speaker Recognition
• Handle large amounts of audio data
• Adapt machine learning and neural network algorithms and architectures to best fit the real-time requirement
• Partner closely with other audio engineers to test and deploy machine learning models

Basic Responsibilities
• Research and evaluate algorithms currently used in related applications.
• Developing novel algorithms for audio deep learning projects.
• Design new algorithms to solve new and existing problems.
• Maintain and Improve current audio processing system

• At least 18 years old, currently enrolled in a four year academic institution completing a PhD in Computer Science, Electrical Engineering or a related STEM field.
• Proficient in C++/C and Python.
• Experience with real-time speech related model optimization and
• Strong knowledge of real-time audio communication modules, such as NS, AGC, AEC, etc.
• Familiar with libraries for deep learning, such as TensorFlow, PyTorch, Keras, etc.
• Experience on audio signal processing, such as STFT, Log-Mel frequency, etc.
• Detail oriented, organized, ethical, responsible, and self-motivated.
• Team player, ability to work effectively in a matrix organization.
• A passion for Zoom’s mission, vision, values, and culture.

We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone’s perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines.

We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law. If you need any assistance or accommodations due to a medical condition, or if you need assistance accessing our website or completing the application process, please let us know by emailing us at careers@zoom.us.

Zoom requires all U.S. employees who will work in person at a Zoom office, attend in-person Zoom meetings or have in-person customer meetings to be fully vaccinated. Zoom will consider requests for reasonable accommodations for religious or medical reasons as required under applicable law.

At Zoom, we care about our employees, their families, and their well-being. As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. To view our benefits, click here.

Explore Zoom:
• Hear from our leadership team
• Browse Awards and Employee Reviews on Comparably
• Visit our Blog
• Zoom with us!
• Find us on social at the links below and on Instagram
• View more jobs, sign up for job alerts and join our talent community. Visit the Zoom careers site.
Apply Here
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