Member of Technical Staff, Machine Learning
- Role
- AI / ML
- Employment
- Full-time
Open to US only. Set where you work from to check your eligibility.
No BS summary
Machine learning engineer for production ML systems. Requires AI experience, hands-on ML model training/fine-tuning/deployment, Python/PyTorch/JAX/GPU stack, and remote work from the US/San Francisco context.
Core skills
Required skills
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.
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. We help companies that are looking to hire Members of Technical Staff for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today!
What you'll do
- 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
What they require
- 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
- medical insurance
- Dental
- Vision
- Savings Plan Options
- PTO