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Manager Remote Machine Learning Jobs in California

DocuSign

Machine Learning Engineer

San Francisco, CA · On-site +1

$164K - $266K/yr

With intelligent agreement management, Docusign unleashes business-critical data that is trapped ... Employee divides their time between in-office and remote work. Access to an office location is ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

Manage MLOps infrastructure to monitor and optimize models. Qualifications Experience: * 3+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.

Freenome

Senior Machine Learning Engineer

Brisbane, CA · On-site +1

$147K - $194K/yr

... remote. What you'll do: * Implement and refine DL pipelines on distributed computing platforms ... Experience managing large datasets, including data storage (such as HDFS or Parquet on S3 ...

Freenome

Senior Machine Learning Engineer

Brisbane, CA · On-site +1

$147K - $194K/yr

... remote. What you'll do: * Implement and refine DL pipelines on distributed computing platforms ... Experience managing large datasets, including data storage (eg: HDFS or Parquet on object storage ...

Freenome

Staff Machine Learning Scientist

Brisbane, CA · On-site +1

$199K - $283K/yr

... remote. What you'll do: * Independently pursue cutting edge research in AI applied to biological ... machine learning, deep learning and complex data modeling. * Practical and theoretical ...

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All JobsMachine Learning JobsManager Remote Machine Learning JobsManager Remote Machine Learning Jobs in California

Manager Remote Machine Learning information

What is the difference between Manager Remote Machine Learning vs Data Scientist?

AspectManager Remote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; leadership experienceBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote team management, project oversightData analysis, model development, research
Employer & Industry UsageTech companies, AI firms, startupsTech, finance, healthcare, research institutions
Common Search & ComparisonYesYes

The main difference is that a Manager Remote Machine Learning oversees ML projects and teams remotely, focusing on leadership and strategy, while a Data Scientist primarily conducts data analysis and model development. Managers handle project management and team coordination, whereas Data Scientists focus on technical implementation and research.

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

Machine Learning Technical Lead, Artificial Intelligence (AI) Required, Work From Home

Ginas Tech Jobs

San Francisco, CA • Remote

Full-time

Medical, Dental, Vision, PTO

Posted 10 days ago

Job description

Job Description

Machine Learning Technical Lead, Artificial Intelligence (AI) Required, Work From Home

As Machine Learning Technical Lead, you own the execution layer of intelligence.  You will translate research direction into reliable, scalable, production-grade ML systems.  This role sits at the intersection of research, infrastructure, and product.  You will be responsible for making models trainable, deployable, observable, and performant under real-world constraints.  This position is 100% Remote.

Machine Learning Technical Lead Responsibilities:

- Own end-to-end ML system execution:  data pipelines, training workflows, evaluation systems, inference architecture, and deployment.

- Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation.

- Architect and operate scalable inference systems, balancing latency, cost, and reliability.

- Design and maintain data systems for high-quality synthetic and real-world training data.

- Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership.

- Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies.

- Collaborate closely with application engineering to integrate ML systems cleanly into backend, mobile, and desktop products.

- Make pragmatic trade-offs and ship improvements quickly, learning from real usage.

- Work under real production constraints: latency, cost, reliability, and safety

Machine Learning Technical Lead Outcomes:

- Research and models reliably translate into production-ready solutions with clear performance and quality targets.

- ML pipelines, training loops, and inference systems are stable, efficient, and maintainable.

- Production issues are detected, debugged, and resolved quickly, minimizing user impact.

- Team members are supported, aligned, and able to deliver high-impact ML work with minimal friction.

- Iterations on models and systems are measurable, safe, and improve user experience over time.

Qualifications

Machine Learning Technical Lead Qualifications:

- Experience building or shipping real Machine Learning systems used by people, not just demos.

- Artificial Intelligence (AI) experience required.

- Experience working with large models and understanding their failure modes.

- Experience writing strong, production-grade code.

- You are self-directed, pragmatic, and take full ownership of outcomes.

- You communicate clearly and collaborate well in small, high-trust teams.

- Tech Stack:  GPU-based training and inference system, JAX, Python, and PyTorch.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:  San Francisco CA Jobs, Machine Learning Technical Lead, AI, Artificial Intelligence, Distillation, DPO, GPU Optimization, JAX, LoRA, Machine Learning, Python, PyTorch, QLoRA, SFT, Technical Lead, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

Looking to hire a Machine Learning Technical Lead in San Francisco, CA or in other cities?  Our IT recruiting agencies and staffing companies can help.

We help companies that are looking to hire Machine Learning Technical Leads for jobs in San Francisco, California and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!

Additional Information

Please check out all of our jobs at www.ginastechjobs.com.

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