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From Home Embedded Machine Learning Jobs in California

Motorola

Machine Learning Engineer

Los Angeles, CA

$150K - $180K/yr

... from resource-constrained edge compute to full-sized data centers * Stay current with the latest machine learning research for wireless and embedded systems, applying ingenuity and a deep ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

You may have the flexibility to work from home one or more days per week. This position will be ... Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

$9.7K/wk

You may have the flexibility to work from home one or more days per week. This position will be ... Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science ...

Escalon

Machine Learning Engineer

Santa Monica, CA

$100K - $120K/yr

... from concept to deployment. The Role Our client is seeking a Machine Learning Engineer to help ... Collaborate closely with engineers in computer vision, embedded systems, software, and UI/UX to ...

New

Apple

Machine Learning Engineer

Cupertino, CA

$150K - $225K/yr

... from you! Description - Partner with business and product teams to identify high-impact ... shared AI platform and embedded across products - Design, build, and own end-to-end GenAI ...

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From Home Embedded Machine Learning jobs near you

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

Ginas Tech Jobs

San Francisco, CA • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 2 hours ago

Job description

Company 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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