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Artificial Intelligence Machine Learning Remote Jobs in Pittsburg, CA

Research Engineer

San Francisco, CA ยท On-site +1

$122K - $215K/yr

  • Medical

  • Dental

  • Vision

  • PTO

... artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature. - Work with large datasets from various sources as well as Waabi ...

Research Engineer

San Francisco, CA ยท On-site +1

$122K - $215K/yr

... artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature. - Work with large datasets from various sources as well as Waabi ...

Machine Learning Engineer

San Francisco, CA ยท On-site +1

$117K - $152K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... product intelligence, machine learning pipelines, and business operations. As data volume and ... Mountain View, SF/Bay: $117,000 - $152,000 gross USD Bellevue, Seattle, NYC, Remote CA: $104,100 ...

Showing results 21-40

Artificial Intelligence Machine Learning Remote information

See Pittsburg, CA salary details

$28.3K

$47.3K

$97.8K

How much do artificial intelligence machine learning remote jobs pay per year?

As of Aug 19, 2026, the average yearly pay for artificial intelligence machine learning remote in Pittsburg, CA is $47,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,100.00 and $51,100.00 per year, depending on experience, location, and employer.

What are artificial intelligence machine learning remote jobs?

Artificial Intelligence (AI) Machine Learning (ML) remote jobs are positions where professionals work from home or any location outside a traditional office to develop, implement, and improve AI and ML systems. These roles typically involve building algorithms, analyzing data, training models, and deploying solutions for various applications such as natural language processing, computer vision, or predictive analytics. Remote AI/ML jobs offer flexibility and often require strong programming skills, knowledge of data science, and experience with frameworks like TensorFlow or PyTorch. Employers may range from tech companies to startups, research institutions, and consultancies. The demand for remote AI/ML professionals continues to grow as more organizations embrace digital transformation.

What are some typical challenges faced by remote artificial intelligence machine learning professionals, and how can they be addressed?

Remote AI/ML professionals often encounter challenges such as effective collaboration with cross-functional teams, maintaining clear communication on complex technical topics, and accessing necessary computational resources. These can be addressed by leveraging collaborative tools (like Slack, GitHub, and Zoom), establishing regular check-ins with colleagues, and utilizing cloud-based platforms for scalable computing. Proactively sharing progress and blockers also helps ensure alignment and project momentum, making remote work both productive and engaging.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer working remotely, and why are they important?

To thrive as an Artificial Intelligence/Machine Learning Engineer in a remote role, you need strong programming skills (especially in Python or R), a solid understanding of algorithms and statistics, and typically a degree in computer science or a related field. Proficiency with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms (like AWS or Azure), and familiarity with version control systems (e.g., Git) are crucial. Excellent problem-solving abilities, self-motivation, and clear written communication help remote engineers collaborate effectively and drive projects forward. These skills ensure technical competence, productivity, and seamless teamwork in a distributed work environment.

Is artificial intelligence machine learning a good career?

Artificial intelligence and machine learning are rapidly growing fields with high demand for skilled professionals. Careers in these areas often require knowledge of programming, data analysis, and algorithms, and can offer competitive salaries and remote work opportunities. The field is suitable for individuals interested in technology, problem-solving, and continuous learning.

What are popular job titles related to Artificial Intelligence Machine Learning Remote jobs in Pittsburg, CA?

For Artificial Intelligence Machine Learning Remote jobs in Pittsburg, CA, the most frequently searched job titles are:

What cities near Pittsburg, CA are hiring for Artificial Intelligence Machine Learning Remote jobs?

Cities near Pittsburg, CA with the most Artificial Intelligence Machine Learning Remote job openings:

Member of Technical Staff, Machine Learning, Artificial Intelligence (AI) Required, Work From Home

Ginas Tech Jobs

San Francisco, CA โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 9 days ago


Job description

Job Description

Member of Technical Staff, Machine Learning, Artificial Intelligence (AI) Required, Work From Home

As a Member of Technical Staff, Machine Learning, you will build core ML components.  The Member of Technical Staff will work on real production systems from day one, learning how large-scale ML behaves outside of research settings.  The Member of Technical Staff role is for engineers who want to develop strong systems judgment by shipping, debugging, and iterating on real-world ML.  This position is 100% Remote.

Member of Technical Staff Responsibilities:

- Build and improve ML components across data, training, evaluation, and inference.

- Fine-tune and adapt models as part of larger production systems.

- Implement evaluation and testing to understand model behavior.

- Help build and maintain data pipelines for real-world and synthetic data.

- Debug model issues, performance problems, and production incidents.

- Ship improvements iteratively and learn from real user feedback.

- Work closely with senior ML engineers and product teams.

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

Member of Technical Staff Outcomes:

- ML models in production meet expected accuracy, latency, and reliability targets.

- Production issues are identified quickly, debugged effectively, and root causes addressed.

- Data pipelines, training loops, and inference systems are robust, reproducible, and maintainable.

- Collaborates effectively with engineers, product, and research teams to deliver reliable ML-powered features.

- Iterations on models and systems are driven by real-world signals and measurable improvements.

Qualifications

Member of Technical Staff Qualifications:

- Strong foundations in machine learning and modern neural architectures.

- Artificial Intelligence (AI) experience required.

- Some hands-on experience training, fine-tuning, or deploying ML models.

- Comfortable writing production-quality code and learning new tools quickly.

- Curious, coachable, and eager to learn from real systems in production.

- Able to work through ambiguity with guidance and grow ownership over time.

- Bias toward shipping, iteration, and continuous improvement.

- Tech Stack:  GPU, JAX, ML, Machine Learning, Python, and PyTorch.

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

Keywords:  San Francisco CA Jobs, Member of Technical Staff, GPU, JAX, Machine Learning, Member of Technical Staff, ML, Python, PyTorch, Programming, Programmer Analyst, Software Engineer, Software Developer, Work From Home, California Recruiters, IT Jobs, California Recruiting

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

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Additional Information

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