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Salary
$220k – $300k per year
Location
In office (Mountain View)
Seniority
Middle · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Clera is a San Francisco company that runs an AI recruiting platform positioned as a talent agent rather than a job board, matching engineers and other technical candidates to roles at venture-backed startups. Its system reads a candidate's background and preferences, then represents them to hiring teams at companies funded by firms such as Andreessen Horowitz, Y Combinator, Index Ventures and General Catalyst, compressing the introduction step that traditional headhunting handles manually. The model is aimed at the segment where recruiter fees are highest and candidate supply is thinnest, and the platform handles screening, scheduling and pipeline tracking for both sides of the match.

About the Role

This is a founding-level ML Research Engineer position at a Series A AI data and evaluation company serving top frontier AI labs and enterprises. You will work directly with the founding team to build and scale the research backbone from the ground up, sitting at the intersection of applied machine learning and systems engineering. The role carries real influence over technical culture and research direction at an early, high-growth stage.

What You'll Do

  • Design, train, and evaluate ML models including LLMs, diffusion models, and domain-specific architectures.

  • Build scalable experimentation pipelines covering data, model training, and evaluation workflows.

  • Collaborate with data and infrastructure teams to optimize training throughput and data quality.

  • Contribute to open research, internal benchmarks, and emerging techniques in multimodal and generative AI.

  • Rapidly prototype research insights and productionize them into usable tools and models.

  • Set foundational standards for research rigor, documentation, and reproducibility across the team.

What We're Looking For

  • 3 to 10 years of hands-on experience in ML research, applied ML, or ML systems engineering, with substantive research depth (not primarily conventional applied engineering).

  • Research lab or leading AI/technology company experience, including model training, benchmark development, and foundation-model evaluation or red-teaming.

  • Experience writing or contributing to research papers is strongly valued.

  • Deep fluency with PyTorch, JAX, or TensorFlow, and strong knowledge of model architectures such as Transformers, Diffusion models, or RLHF.

  • Solid foundations in data processing, distributed training, and evaluation metrics.

  • Ability to move fluidly from research papers to working prototypes to production-ready code.

  • Curiosity for emerging paradigms such as multimodality, self-learning, synthetic data, and agentic systems.

  • Comfort building from zero to one in a fast-moving, unstructured startup environment.

Compensation & Benefits

Base salary: $220,000 to $300,000 USD annually, plus equity. Visa sponsorship is not available for this role.

Location

On-site in Mountain View, California, United States.

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