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Remote Machine Learning Neuroscience Jobs in Sunnyvale, CA

Canals

Machine Learning Engineer

San Francisco, CA · Remote

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining ... We're remote-first, flexible, and distributed across North and South America, bringing together ...

6sense

Sr. Machine Learning Engineer

San Francisco, CA · Remote

$200K - $260K/yr

The Opportunity We're hiring a Senior Machine Learning Engineer to join our AI team, reporting ... remote Notice of Collection and Use of Personal Information for California Residents: California ...

EvenUp

Staff Machine Learning Engineer

San Francisco, CA · Remote

$212K - $301K/yr

Join EvenUp as a Staff Machine Learning Engineer and help set the technical direction for how ... Open to remote candidates or 3 days a week hybrid from our Toronto or San Francisco hubs. Benefits ...

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Remote Machine Learning Neuroscience information

See Sunnyvale, CA salary details

$29.9K

$50K

$103.3K

How much do remote machine learning neuroscience jobs pay per year?

As of Aug 26, 2026, the average yearly pay for remote machine learning neuroscience in Sunnyvale, CA is $49,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,100.00 and $54,000.00 per year, depending on experience, location, and employer.

What job categories do people searching Remote Machine Learning Neuroscience jobs in Sunnyvale, CA look for?

The top searched job categories for Remote Machine Learning Neuroscience jobs in Sunnyvale, CA are:

What cities near Sunnyvale, CA are hiring for Remote Machine Learning Neuroscience jobs?

Cities near Sunnyvale, CA with the most Remote Machine Learning Neuroscience job openings:

Remote Machine Learning Neuroscience jobs near you
Infographic showing various Remote Machine Learning Neuroscience job openings in Sunnyvale, CA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $49,978 per year, or $24 per hour.

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

Ginas Tech Jobs

San Francisco, CA • Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 18 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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