Member of Technical Staff - Research

Valkai; San Francisco (CA); Sur place; USD 140 000 - 210 000; Plein temps

Avantages offerts par ce poste

Competitive compensation

Equity

Medical/dental/vision insurance

Generous PTO

Paid parental leave

Résumé du poste

Valkai is seeking a researcher with strong engineering ability to turn difficult problems into research questions, and to develop improvements across models and agent systems.

You will move between model training, experimentation, and applied AI systems, selecting the right approach for real users and production.” You will own applied research projects, train and adapt models for reasoning, retrieval, and decision-making tasks, and collaborate with engineering and product to ship improvements to

Qualifications

• Deep ML foundations: understanding of learning, optimization, probability, statistics.
• Hands-on model experience: trained/adapted/improved models and explain decisions.
• Research judgment: turn ambiguous problems into clear hypotheses and experiments.
• Strong applied judgment: balance quality, reliability, latency, and cost in real workflows.
• High agency and ownership: define research direction and own outcomes.
• Clear collaborators: communicate findings and help decision-making across teams.

Responsabilités

• Own applied research projects from problem definition and experiment design through implementation and production validation.
• Train and adapt models for reasoning, retrieval, and decision-making tasks.
• Develop and test improvements to agent systems, including tool use, context, memory, planning, and recovery from failures.
• Build datasets, evaluation environments, and grading methods that reflect real workflow difficulty.
• Inspect model outputs and agent traces to identify failure modes and drive training/data/system changes.
• Build experimentation tools and pipelines to run, compare, reproduce research efficiently.
• Partner with AI Strategy, product, and engineering to understand workflows and ship improvements to production.

Connaissances

Deep ML foundations

Hands-on model experience

Research judgment

Strong applied judgment

High agency and ownership

Clear collaborators

Description du poste

THE ROLE

You'll turn difficult problems in real workflows into research questions, develop improvements across models and agent systems, and carry results into production. This role is for a researcher with strong engineering ability who can move between model training, experimentation, and applied AI systems, choosing the right approach for our users.

WHAT WE ARE LOOKING FOR

• Deep ML foundations: You understand learning, optimization, probability, and statistics, and use that understanding to reason about model behavior and experimental results.

• Hands-on model experience: You have trained, adapted, or improved models and can explain the decisions behind your work. You bring depth in areas such as post-training, reinforcement learning, etc.

• Research judgment: You turn ambiguous problems into clear hypotheses, design experiments, and can develop new approaches.

• Strong applied judgment: You stay close to real workflows and know when to improve the model, the data, or the system around it. You weigh quality, reliability, latency, and cost.

• High agency and ownership: You help define the research direction, take responsibility for outcomes, and move from investigation to execution without waiting for a detailed plan.

• Clear collaborators: You communicate findings and uncertainty clearly, seek context from domain experts, and help research, engineering, and product make decisions.

WHAT YOU'LL DO

• Own applied research projects from problem definition and experiment design through implementation and production validation.

• Train and adapt models for the reasoning, retrieval, and decision-making tasks

• Develop and test improvements to agent systems, including tool use, context, memory, planning, and recovery from failures.

• Build datasets, evaluation environments, and grading methods that capture the difficulty of real workflows.

• Inspect model outputs and agent traces, identify recurring failure modes, and turn those findings into changes to training, data, or system design.

• Build the experimentation tools and pipelines needed to run, compare, and reproduce research efficiently.

• Partner with AI Strategy, product, and engineering to understand workflows and ship improvements to production.

NICE TO HAVE

• You have carried a research idea into a product or system used in real workflows.

• You have research publications, open-source contributions, or substantial industry work in ML, LLMs, agents, or evaluation.

• You have experience with reward modeling, synthetic data, or learning from human feedback.

• You have worked with distributed training, inference optimization, or large-scale experimentation.

• You have worked in a high-growth early-stage company.

BENEFITS

• Competitive compensation, including meaningful equity.

• Medical, dental, and vision insurance for employees and dependents.

• Generous PTO policy.

• Paid parental leave.

At Valkai, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.