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Remote Internship Machine Learning Engineer Jobs in California

Sr. Machine Learning Engineer

San Diego, CA ยท Remote

$111.30K - $152.80K/yr

Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in shaping Realm-X and the future of AI at AppFolio. This is a high-impact position focused on defining ...

Sr. Machine Learning Engineer

Santa Barbara, CA ยท Remote

$112.80K - $154.80K/yr

Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in shaping Realm-X and the future of AI at AppFolio. This is a high-impact position focused on defining ...

Sr. Machine Learning Engineer

Goleta, CA ยท Remote

$112.80K - $154.80K/yr

Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in shaping Realm-X and the future of AI at AppFolio. This is a high-impact position focused on defining ...

Sr. Machine Learning Engineer

San Francisco, CA ยท Remote

$123.10K - $169.10K/yr

Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in shaping Realm-X and the future of AI at AppFolio. This is a high-impact position focused on defining ...

Sr. Machine Learning Engineer

San Diego, CA ยท Remote

$111.30K - $152.80K/yr

Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in shaping Realm-X and the future of AI at AppFolio. This is a high-impact position focused on defining ...

Sr. Machine Learning Engineer

CA ยท Remote

$123.10K - $169.10K/yr

Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in shaping Realm-X and the future of AI at AppFolio. This is a high-impact position focused on defining ...

... machine learning development productivity across Uber.- Work closely with engineers in the broader Uber ML/AI Platform Team (Michelangelo) to improve the broader ML Platform ecosystem for our users ...

Sr. Machine Learning Engineer

Santa Barbara, CA ยท On-site +1

$136.30K - $179.70K/yr

Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in shaping Realm-X and the future of AI at AppFolio. This is a high-impact position focused on defining ...

Impact As a Staff Machine Learning Engineer on Shipt's Personalization Platform team you will drive key AI initiatives. In this role, you'll collaborate with Data Scientists to design and deploy ...

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Remote Internship Machine Learning Engineer information

What is the difference between Remote Internship Machine Learning Engineer vs Remote Data Scientist Intern?

AspectRemote Internship Machine Learning EngineerRemote Data Scientist Intern
Required CredentialsBasic programming, machine learning fundamentals, coursework or certificationsStatistics, data analysis, programming skills, coursework or certifications
Work EnvironmentCollaborative team, remote, project-basedRemote, data analysis projects, team collaboration
Industry UsageTech, AI, software developmentTech, finance, healthcare, research

Both roles are internship positions focused on data and machine learning skills, often requiring similar educational backgrounds. The main difference lies in their focus: Machine Learning Engineers concentrate on developing and deploying ML models, while Data Science Interns focus on analyzing data and deriving insights. Both are common in tech industries and often share similar work environments and prerequisites.

What are popular job titles related to Remote Internship Machine Learning Engineer jobs in California? For Remote Internship Machine Learning Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Internship Machine Learning Engineer jobs in California look for? The top searched job categories for Remote Internship Machine Learning Engineer jobs in California are:
What cities in California are hiring for Remote Internship Machine Learning Engineer jobs? Cities in California with the most Remote Internship Machine Learning Engineer job openings:

Principal Machine Learning Engineer

Edison Scientific

San Francisco, CA โ€ข On-site, Remote

$275K - $350K/yr

Other

Medical, Retirement

Posted 24 days ago


Job description

About

Edison Scientific builds and commercializes AI agents for science. Scientific discovery moves too slowly, and autonomous AI agents are how we intend to fix that. We're assembling a team of top researchers and engineers across AI and biology to build an AI scientist.


Role

As a Principal Machine Learning Engineer at Edison Scientific, you play a central role in building the models and agents that accelerate scientific discovery. You will work on both cutting edge research and practical engineering, bridging advanced machine learning concepts with robust, reliable software that real scientists depend on.

This role is on-site at our San Francisco office in the Dogpatch neighborhood. Our office is a converted warehouse with high ceilings, open space, and a team excited about what we're building.


Responsibilities
  • Interpret qualitative challenges in building AI agents for science as well-formulated optimizable problems
  • Build appropriate environments in which to train and deploy AI agents that solve scientific tasks
  • Work with scientists to formulate training data pipelines, and scale them, ensuring observability and reproducibility
  • Lead training of large-scale LLM-based systems, including building internal infrastructure to improve the efficiency of experimentation and production training runs
  • Build efficient and flexible inference infrastructure, supporting complex sampling algorithms and custom architectures
  • Develop and extend our experimentation platform for internal tools and projects.
  • Collaborate closely with a multidisciplinary team of AI researchers, chemists, biologists, fostering an environment of innovation and discovery.

Qualifications
  • 8-10+ years of strong track record of work in applied ML research and application of ML methods to solving real-world problems
  • Experience working across the ML lifecycle: data pipelines and provenance, model training, model deployment, and validation in production systems.
  • Fluency in PyTorch, Jax or equivalent framework.
  • Demonstrated experience with experimentation in academic or industry settings.
  • Strong programming expertise with the capability to adapt to various technical challenges in the data, ML, and LLM software stack.
Bonus points for
  • PhD in Machine Learning, Computer Science, or other quantitative field
  • Familiarity with leveraging and managing distributed computing resources
  • Background architecting complex distributed systems

Salary

$275,000 - $350,000 ย  Offers equity


Why join us?

  • Competitive salary and equity
  • Full healthcare coverage - we pay 100% of premiums for you and your dependents
  • Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot
  • 401(k) company matching
  • $300 health and wellness benefit
  • Lunch is on us every day you're in the office, and dinner is on us when you're working late
  • Regular team offsites and company events
  • A fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it