2 months ago
San Francisco, CA, USAMid Level
Base Salary
$164k - $215k/yr
Responsibilities
- Execute scoped post-training research and engineering projects from experiment design through evaluation and implementation.
- Train and evaluate reward and preference models using professional design decisions.
- Apply supervised fine-tuning, distillation, preference optimization, and reinforcement learning methods.
- Design rigorous evaluations for validity, reproducibility, and research prioritization.
- Translate research results into production systems with research and engineering partners.
- Partner with Product and Design to assess model performance in real workflows.
- Prototype emerging post-training techniques and contribute to reliable training and experimentation infrastructure.
- Document experiments, results, and learnings for the team.
Requirements
- Strong programming and software engineering skills, particularly for machine learning systems.
- Hands-on experience training or fine-tuning machine learning models.
- Experience with generative models, including diffusion or flow models, through professional work, research, or substantial technical projects.
- Familiarity with supervised fine-tuning, preference optimization, reward modeling, distillation, or reinforcement learning.
- Experience designing experiments and evaluating model performance.
- Strong machine learning fundamentals and the ability to turn research ideas into working implementations.
- Interest in product-coupled research and comfort solving open-ended technical problems.
- Collaborative research and engineering approach, including documenting results and incorporating feedback.
- Preferred qualifications include experience with high-performance training or inference systems, large-scale training infrastructure, preference data or human-feedback systems, and moving ML experiments toward production.
- Interest in industrial design, physical products, or the people who make them is preferred.
Benefits
- 100% employer-sponsored medical coverage for employees and 25% dependent coverage, plus dental, vision, and mental health benefits.
- Meaningful equity ownership, flexible PTO, 401(k) with employer match, paid parental leave, and an annual Learning & Development allowance.
- Weekly catered lunch at the San Francisco headquarters and a monthly gym membership stipend.
- In-person, full-time role based in San Francisco, California.
Categories
AI ResearchML Engineering
About Vizcom
Vizcom builds an AI-powered design platform that helps industrial and product design teams sketch, render, explore materials, work in 3D, and prepare concepts for production. Used by teams at Nike, GM, New Balance, and Hasbro, its tools turn early ideas into manufacturable directions and capture decision trails. Founded in 2021 and headquartered in San Francisco, the company is privately held.