Senior AI Data Scientist

MLabs; Remoto; EUR 109.000 - 127.000; Tempo pieno

Descrizione del lavoro

A financial technology firm is seeking a Senior AI Data Scientist to lead the design and evolution of systems behind their financial intelligence platform. The ideal candidate will have over 6 years of experience in data science, including 3 years building production AI/ML systems. Key responsibilities include designing agentic systems, defining agent logic, and developing evaluation frameworks. The firm offers competitive compensation and comprehensive health benefits.

Servizi

Competitive package aligned with growth

100% employer-paid medical, dental, and vision

21 vacation days and 7 sick days

Thoughtful parental leave policy

Access to wellness programs

Personalized professional development

Competenze

• 6+ years in data science, with 3+ years in production AI/ML systems.
• Experience applying ML to financial data (crypto/DeFi is a plus).
• Track record of building reusable ML abstractions.

Mansioni

• Design and own single and multi-agent systems over financial workflows.
• Define agent behavior with emphasis on correctness.
• Develop evaluation frameworks for LLM covering key metrics.

Conoscenze

Experience in data science, applied ML, or AI-focused software roles

Deep hands-on experience with LLMs

Strong Python skills

Proven experience with RAG pipelines

Strong intuition for model behavior

Descrizione del lavoro

Location: Remote - USA, Europe, Israel

Compensation: $130K - $150K

We are a leading financial technology firm building the infrastructure for safer, more accessible global markets. Our risk management systems, oracles, and AI models secure hundreds of billions in assets and process trillions in transaction volume across major protocols. We recently launched a cutting‑edge financial intelligence platform that transforms complex market data into actionable insights, bringing institutional‑grade intelligence to a global audience.

We are seeking a Senior AI Data Scientist to lead the design, evaluation, and evolution of the agentic systems behind our financial intelligence platform. This role sits at the intersection of LLMs, financial data, and decision systems.

You’ll own the logic behind how our models reason over data, how agents coordinate and make decisions, and how we 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

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

We 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 [e-mail].

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