Machine learning jobs in Pasadena, California - Page 7Crear alertas

Primary Skills: Compliance (Expert), GDPR/CCPA (Advanced), PIA/DPIA (Advanced), Privacy-by-Design (Advanced), Program Management (Expert).Pay Range: $65 - $70 per hour on W2.Job Summary: As a Privacy Manager, you will lead the completion of privacy impact assessments and ML privacy reviews.

Engineering Manager - Model Development, Machine Learning Platform.

Identify opportunities for machine learning automation and predictive modeling by analyzing available data and collaborating with engineers and manufacturing process experts. Build a production-ready pipeline supporting multiple machine learning models. Senior Software Engineer, Machine Learning.

We look forward to speaking with you, and learning more about what you are seeking in your next opportunity.

Primary Skills: Compliance (Expert), GDPR/CCPA (Advanced), PIA/DPIA (Advanced), Privacy-by-Design (Advanced), Program Management (Expert).Pay Range: $65 - $70 per hour on W2.Job Summary: As a Privacy Manager, you will lead the completion of privacy impact assessments and ML privacy reviews.

As our next Machine Learning Engineer you should have 4+ years of generalist software development experience in high growth startups, plus:. Experience in applied statistical and machine learning fields e.

Senior Principal Machine Learning Architect, Ad Platforms. The Senior Principal ML Architect is responsible for designing, developing, and operationalizing scalable machine-learning and artificial-intelligence solutions across the Ad Platform organization. Strong and sound understanding of architect

Machine Learning Engineering Manager - Senior) at Capital Group. You will foster a culture of research, experimentation, and ongoing learning-encouraging engineers to explore new methods, deepen.

Senior Principal Machine Learning Architect, Ad Platforms. The Senior Principal ML Architect is responsible for designing, developing, and operationalizing scalable machine-learning and artificial-intelligence solutions across the Ad Platform organization. Strong and sound understanding of architect

Must have experience using machine learning or NLP to solve real business problems. You are experienced in one or more machine learning subfield, such as NLU (e. I can succeed as a Machine Learning Engineer at Capital Solutions Group Technology (CSGT)".

Contributions to popular open-source machine learning projects. Senior Machine Learning Engineer. In this role, you will be instrumental in designing, developing, and deploying machine learning models that produce high-quality 3D assets for our avatar creation ecosystem.

Required Qualifications** - At least 2 years of full-time experience in machine learning model development - Technical degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field - Demonstrated competitive machine learning experience (Kaggle, DrivenData, or eq

Senior Data Engineer sought by ZEFR, Inc.Master’s, or equiv, plus 2 yrs rel exp.Send resume to: Chris Dale, Dir of HR, ZEFR, Inc.Redwood Avenue, Los Angeles, CA, 90066 or email chris.

Required Qualifications** - At least 2 years of full-time experience in machine learning model development - Technical degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field - Demonstrated competitive machine learning experience (Kaggle, DrivenData, or eq

The Senior Data Scientist uses statistical modeling and machine learning tools to support business initiatives such as revenue maximization, personalization, and anomaly detection. Machine Learning Modeling and Deployment - Contribute to the full data science lifecycle from model design, development

Required Qualifications** - At least 2 years of full-time experience in machine learning model development - Technical degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field - Demonstrated competitive machine learning experience (Kaggle, DrivenData, or eq

Our client is a leading force in advancing safer, smarter AI technology.Their work has been featured in.They have built a global community of expert contributors and have paid more than.No contracts, no 9-to-5 - you control your schedule.Most experts work 5-10 hours/week, with the option to work up

Required Qualifications** - At least 2 years of full-time experience in machine learning model development - Technical degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field - Demonstrated competitive machine learning experience (Kaggle, DrivenData, or eq

BS/MA/MS Degree (PhD preferred) in a Quantitative field such as Econometrics, Statistics, Operations Research, Machine Learning, Applied Mathematics, Computer Science, or related technical area. Experience with applied statistical, machine learning modeling, recommendation systems, and deployment ex

Required Qualifications** - At least 2 years of full-time experience in machine learning model development - Technical degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field - Demonstrated competitive machine learning experience (Kaggle, DrivenData, or eq

Our company values employees by fostering a culture of learning, personal development, and well-being.

Required Qualifications** - At least 2 years of full-time experience in machine learning model development - Technical degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field - Demonstrated competitive machine learning experience (Kaggle, DrivenData, or eq

Expert in Python or R and numerical and scientific libraries used for statistics and machine learning (e. In this role, you'll play a pivotal part in crafting and deploying cutting-edge machine learning models that drive business and operational choices within StubHub's dynamic ecosystem. Our Data S

Foster a culture of learning and experimentation within the team.

At Gusto, we're on a mission to grow the small business economy.We handle the hard stuff—like payroll, health insurance, 401(k)s, and HR—so owners can focus on their craft and customers.With teams in Denver, San Francisco, and New York, we’re proud to support more than 400,000 small businesses

K2 Space is building large, high-powered spacecraft for the next generation of space development.Backed by Lightspeed Venture Partners, Altimeter Capital, and many others.The rise of launch vehicles like Falcon 9 and Starship enables the move from an era of mass constraint to one of mass abundance.W

We are looking for a leader who will be responsible for overseeing the day-to-day management and maintenance of our organization's data centers.Coordinates data center hardware installation, reconfiguration, and removal while supporting facility infrastructure for operational needs.Collaborates with

COVU is a venture-backed technology startup transforming the insurance industry.We empower independent agencies with AI-driven insights and digitized operations, enabling them to manage risk more effectively.Our team is building an AI-first company set to redefine the future of insurance distributio

Note: This position does not offer any Visa sponsorship.We are only looking for applicants who are either local to Los Angeles, CA, or ready to relocate to the employers location.Our Client is looking for a skilled Data Engineer to join their team.The ideal candidate will be responsible for designin

W2 depending on experience (no C2C or 1099 or sub-contract).GC, USC, All valid EADs except OPT, CPT, H1B.Expertise in big data engineering pipelines, Spark.Python, MPP Databases/SQL (Snowflake), Cloud Environments (AWS).Expertise in Big Data engineering pipelines.Strong SQL and MPP Databases (Snowfl

Opportunities for learning and leveling up through training and education reimbursement.

If you’ve built production data systems before (Python, TypeScript, GCP, SQL/NoSQL) and love learning new tools, you’ll fit right in.

Familiarity with machine learning for recommendations, including offline/online metric design and model evaluation for ranking/personalization use cases. As a Senior Data Scientist on the Recommendations (Recs) team, you will partner closely with Product, Engineering, and Machine Learning (ML) to id

Background in machine learning and feature engineering. We're seeking a Senior Data Engineer to join our team who will be responsible for designing and building scalable data solutions that power our analytics and machine learning capabilities. Support machine learning initiatives through feature en

At Sift, we’re accelerating the development of next-generation machines with the world’s first end-to-end telemetry stack — and we’re expanding our team. Backed by the best investors in the sector, Sift is positioned at the forefront of machine innovation, with customers who are pushing the

Glendale, CA Onsite 3-4 days a week.Headquartered in Los Angeles, this leader in the Entertainment & Media space is focused on delivering world-class stories and experiences to it's global audience.To offer the best entertainment experiences, their technology teams focus on continued innovation and

Opportunities for learning and leveling up through training and education reimbursement.

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages.Members can play, pause and resume watching as much as they want, anytime, anywhere, and can ch

LOCATION: Los Angeles, CA (hybrid).Our technology eases the stress of paying for life’s expenses by giving people more options on how and when they pay.Founded in 2016, Sunbit offers a next-generation, no-fee credit card that can be managed through a powerful mobile app, as well as a point-of-sal

At HeyGen, our mission is to make visual storytelling accessible to all.Over the last decade, visual content has become the preferred method of information creation, consumption, and retention.But the ability to create such content, in particular videos, continues to be costly and challenging to sca

Our team's goal is to empower organizations across the company to transform data for analysis and reporting, new product development, experimentation, and machine learning.

Discord is used by over 200 million people every month for many different reasons, but there’s one thing that nearly everyone does on our platform:.Over 90% of our users play games, spending a combined 1.Discord plays a uniquely important role in the future of gaming.We are focused on making it ea

SHEIN is a global online fashion and lifestyle retailer, offering SHEIN branded apparel and products from a global network of vendors, all at affordable prices.Headquartered in Singapore, with more than 15,000 employees operating from offices around the world, SHEIN is committed to making the beauty

Union Rescue Mission (URM) is a 501(c)(3) nonprofit organization located in the Los Angeles Metropolitan Area.We are dedicated to serving men, women, and children experiencing homelessness and providing comprehensive emergency and long-term services to help them escape the dangerous streets of Skid

Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation-systems, environmental systems and/or agronomic problems. Understanding of various machine learning algorithms.

Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation-systems, environmental systems and/or agronomic problems. Understanding of various machine learning algorithms.

The Senior Data Scientist, Advanced Risk Modeling, is a senior individual contributor role focused on utilizing advanced machine learning (ML) and artificial intelligence (AI) methodologies on modern ML platforms.

Our client is a leading force in advancing safer, smarter AI technology.Their work has been featured in.They have built a global community of expert contributors and have paid more than.No contracts, no 9-to-5 - you control your schedule.Most experts work 5-10 hours/week, with the option to work up