Senior AI Data Scientist

Senior AI Data Scientist

Location: Remote - USA, Europe, Israel

Compensation: $130K - $150K

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.

Key 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.

Interview Process:

1. Recruiter / HR Call - 30min screen
2. Hiring Manager Interview - 30min technical screen
3. Technical Interview - 1-hour technical interview focused specifically on the "coding" elements eg Python and its libraries and machine learning
4. Technical Interview - 1-hour technical interview focused specifically on AI elements of the role (this will be more data science in nature)
5. Founder / CEO Interview - 30mins

Requirements

• Experience: 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.

Preferred Qualifications:

• 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.

Benefits

They offer a competitive package designed to support your professional growth and personal well-being:

• 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.

Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.

Commitment to Equality and Accessibility:

At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.

MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.