Machine Learning Technical Lead, Artificial Intelligence (AI) Required, Work From Home
At a glance
Senior Machine Learning Engineering role at Ginas Tech Jobs. Remote, United States · full-time · $190,000–$225,000 base.
remoteroles summary, based on the employer's posting.
What you'll do
- Build the full path from data preparation and model training through evaluation, inference design, and release
- Adapt large models with methods such as LoRA, QLoRA, supervised fine-tuning, preference optimization, and distillation
- Run inference services that balance response time, operating cost, reliability, and scale
- Create training-data systems and checks for model quality, robustness, safety, and bias
- Improve GPU use, memory efficiency, and response times, while helping application engineers connect ML to their products
What you bring
- You have built or launched machine-learning systems that people actually use, beyond demonstration projects
- You bring artificial intelligence experience and familiarity with large models and their failure patterns
- You can write robust code for production use
- You have worked with GPU training and inference systems, JAX, Python, and PyTorch
Who this fits
This is a senior technical lead role for someone who can take ownership, make practical decisions, and work closely with research and application engineering. The position is fully remote.
From the employer
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.
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
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