ZipRecruiter

Log In

MLabs

60 Mlabs Data Jobs Hiring Near You

MLabs

AI Data Engineer

$117.20K - $140.70K/yr

At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no ... Your data may be shared only with clients and trusted partners where necessary for recruitment ...

MLabs

Software Engineer

New York, NY · On-site

$185K - $400K/yr

You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.

MLabs

Talent Operator

Miami, FL · Hybrid

$120K - $200K/yr

You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.

MLabs

Software Engineer

New York, NY · On-site

$185K - $400K/yr

You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.

next page

Showing results 1-20

All JobsMlabs Data Jobs

MLabs Jobs Information

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a Data Analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What are data jobs?

Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are the most popular jobs at Mlabs?
What are the most popular categories at Mlabs?
Infographic showing various Data job openings at Mlabs in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 50% Physical, and 50% Remote job distribution.

AI Data Engineer

MLabs

Remote

$117.20K - $140.70K/yr

Full-time

Posted 22 days ago

Job description

Senior AI Data Engineer (Agentic Systems)
Location: USA / Europe / Israel - with a 5hour overlap with EST hours
Compensation: $130K - $150K
We are hiring on behalf of our client who build the technology that powers safer, more accessible financial markets. Our risk management systems, oracles, and AI models currently secure over $200 billion in assets across the world's largest decentralized protocols, having processed more than $5 trillion in transaction volume. They recently launched a pioneering Financial Intelligence Platform that transforms complex market data into actionable insights, bringing institutional-grade intelligence to every participant in the ecosystem.
The Role: They are looking for a Senior AI Data Engineer to design and build the agentic systems powering their intelligence platform. You will work at the intersection of LLMs, financial data, and production infrastructure, creating intelligent agents that reason, plan, and execute across complex financial workflows.
Responsibilities:
  • Agentic Systems: Design and build single and multi-agent systems incorporating planning, memory, and tool use.
  • Infrastructure: Build and operate MCP servers with secure schemas and permissions.
  • Workflows: Develop sophisticated agentic workflows using LangGraph or equivalent frameworks.
  • LLM Integration: Manage prompts, structured outputs, and tool calling via SDKs.
  • Evaluation: Define and run LLM evaluation pipelines for quality, correctness, latency, cost, and regressions.
  • Observability: Build reliability infrastructure, including logging, tracing, retries, and state management.
  • Performance: Optimize performance and cost-efficiency from prototype to production.
  • Mentorship: Establish agentic best practices and mentor junior engineers.

Interview Process
  1. Recruiter / HR Call - 30min screen with recruiter
  2. Hiring Manager Interview - 30min screen with hiring manager to check technical fit
  3. Technical Interview - 1 hour technical interview with the Head of Product & AI to check their software engineering skills, syntax, security, programming
  4. Technical Interview - 1 hour technical interview with the Chief Data Scientist to check technical understanding for AI, LLMs, RAG etc
  5. Founder / CEO Interview - 30min screen with CEO to check motivation for role and company

Requirements
They need an engineer who moves with precision and understands how to bridge the gap between AI research and production-grade financial software.
  • Experience: 5+ years of software engineering, with at least 2+ years specifically building production-level AI/ML systems.
  • Agentic Expertise: Hands-on experience with agentic architectures, tool calling, and LangGraph (or equivalent).
  • Protocol Knowledge: Practical experience with Model Context Protocol (MCP) servers.
  • Evaluation Skills: Demonstrated experience designing and operating LLM evaluation pipelines.
  • Technical Stack: Strong Python proficiency and API design skills.
  • Retrieval Systems: Familiarity with RAG pipelines, vector databases, and embedding-based retrieval.

Preferred Qualifications:
  • Prior experience with financial data, DeFi/Crypto, or quantitative analysis.
  • Background in distributed systems or high-throughput data pipelines.
  • Active contributions to open-source AI/ML projects.

Benefits
  • Competitive Compensation & Equity: They offer a package aligned with growth, performance, and merit.
  • Professional Growth: Be a foundational member of a rapidly expanding, global technology company with significant room for career advancement.
  • High-Stakes Impact: Work on systems that secure hundreds of billions of dollars and define the future of financial risk management.
  • Talent-Dense Team: Collaborate with world-class data scientists and engineers in a high-performance culture.

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.

Apply