Senior AI Data Scientist

MLabs

10h • $130,000 - $150,000 • Remote

About The Position

We are hiring on behalf of our client, a leading financial technology firm building the infrastructure for safer, more accessible global markets. Their risk management systems, oracles, and AI models secure hundreds of billions in assets and process trillions in transaction volume across major protocols. They recently launched a cutting-edge financial intelligence platform that transforms complex market data into actionable insights, bringing institutional-grade intelligence to a global audience.
They are seeking a Senior AI Data Scientist to lead the design, evaluation, and evolution of the agentic systems behind their financial intelligence platform. This role sits at the intersection of LLMs, financial data, and decision systems. You will own the logic behind how their models reason over data, how agents coordinate and make decisions, and how they rigorously measure quality, correctness and risk in production AI workflows. You’ll work closely with product, engineering, and research teams to move from experimentation to reliable, scalable AI systems that operate under real-world financial constraints.

Requirements

• 6+ years in data science, applied ML, or AI-focused software roles, with at least 3+ years building production AI/ML systems (beyond the experimentation phase).
• Technical Depth: Deep hands-on experience with LLMs, agentic patterns, and tool-calling systems.
• Programming: Strong Python skills and comfort working closely with production systems and APIs.
• Architecture: Proven experience with RAG pipelines, embeddings, and vector databases.
• Analytical Mindset: Strong intuition for model behavior, trade-offs, and failure analysis.

Nice To Haves

• Experience applying ML or statistical methods to financial data (crypto/DeFi is a major plus).
• A track record of building reusable ML or data abstractions that improve team velocity.
• A strong intuition for how model behavior shifts in production based on data, users, and constraints.

Responsibilities

• System Design: Design and own single and multi-agent systems that reason, plan, and act over complex financial workflows.
• Agent Logic: Define agent behavior, memory, and tool-use strategies with a strong emphasis on correctness and controllability.
• Evaluation Frameworks: Develop and maintain LLM evaluation frameworks covering accuracy, faithfulness, latency, cost, regressions, and edge cases.
• Production Implementation: Design structured prompting, schemas, and tool-calling strategies; build and operate MCP servers including schema design and safety boundaries.
• Optimization: Analyze model behavior and failure modes to turn qualitative issues into measurable signals; optimize performance and cost across workflows.
• Mentorship: Mentor engineers and data scientists, setting best practices for applied LLM and agentic systems.

Benefits

• Compensation & Equity: Competitive package aligned with growth and merit. Salary range: $130,000 – $150,000 (commensurate with experience).
• Comprehensive Health: 100% employer-paid medical, dental, and vision options for you and your dependents, plus FSA/HSA options.
• Time Off: 21 vacation days, 7 sick days, and 8 observed U.S. company holidays.
• Family Support: Thoughtful parental leave policy.
• Wellness: Access to OneMedical, Teladoc, Talkspace, and Employee Assistance Programs (EAP).
• Career Growth: Personalized professional development in a rapidly expanding global company.
• Commuter Benefits: Pre-tax commuter programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed