Lead AI Dataloop and Release Engineer

Merlin Labs, Inc.; Boston (MA); Hybrid; USD 220,000 - 290,000; Full time

Benefits offered by this job

Catered lunches

Snacks & drinks

Benefits package

Job summary

Merlin Labs, Inc. in Boston, MA is seeking a senior data strategy leader to define and drive end-to-end data pipelines for AI model training, simulation, and deployment in safety-critical autonomous systems.

You will own data quality, curation, versioning, and integration with large-scale GPU/TPU clusters, ensuring robust model validation. You will mentor a team of data and infrastructure engineers, partner with safety and certification teams, and establish metrics to measure data pipeline

Qualifications

• Degree in Computer Science, Artificial Intelligence, Data Science, Computer Engineering, Applied Math, or a related subject.
• 10+ years of engineering experience, with at least 4 years in a technical leadership role owning data infrastructure, MLOps, or AI platform engineering at scale.
• Demonstrated experience building and operating data pipelines for AI/ML model training, including dataset management, labeling workflows, and data versioning at production scale.
• Hands-on experience integrating data systems with large-scale distributed training infrastructure (e.g., GPU/TPU clusters, job orchestration, experiment tracking).
• Deep understanding of simulation pipelines — including data-driven, physics-based, or sensor-realistic simulators — and how data quality directly impacts simulator fidelity and model transferability.
• Experience working in or alongside safety-critical domains with an understanding of rigor, traceability, and validation in that context.
• Strong systems-thinking mindset: data quality, pipeline reliability, and infrastructure design are interconnected constraints.
• Track record of building platforms and tooling that other engineering teams depend on, with reliability, documentation, and developer experience.

Responsibilities

• Define and execute a comprehensive data strategy spanning AI model training, simulation, and production deployment across safety-critical autonomous systems.
• Own the end-to-end data pipeline from raw collection and labeling to curation, versioning, and delivery for scalable training and simulation workflows.
• Build and maintain data flywheels that improve model performance by linking deployed system behavior to future training iterations.
• Collaborate with teams provisioning and operating large-scale GPU/TPU training clusters to align data delivery with compute and schedules.
• Drive design and integration of data pipelines feeding data-driven, physics-based, and high-fidelity simulators for realistic validation.
• Partner with safety, validation, and certification teams to establish data quality standards and traceability for aviation/automotive domains.
• Lead, mentor, and grow a team of data and infrastructure engineers, promoting rigor, ownership, and continuous improvement.
• Define and track KPIs for data pipeline health, simulation fidelity, and model readiness, communicating progress to senior leadership.

Skills

Data strategy

Data pipelines

MLOps

AI/ML platforms

GPU/TPU clusters

Safety-critical data

Cross-functional communication

Leadership

Education

Degree in CS/AI/DS

Tools

Experiment tracking

Distributed training

Job description

About Merlin:

Merlin (NASDAQ: MRLN) is a publicly traded aerospace and defense company building a non-human pilot to deliver full-stack autonomy for any aircraft from takeoff to touchdown. The Merlin Pilot autonomy system powers a growing range of aircraft and mission profiles and has been proven through hundreds of autonomous flights from Merlin's global flight test facilities, including Kerikeri, New Zealand; Quonset Point, Rhode Island; and soon, Bedford, Massachusetts. Headquartered in Boston, Merlin is expanding its organization to accelerate the development and deployment of its autonomy platform, helping customers solve some of aviation's most pressing challenges, from pilot shortages to improving flight safety. Backed by some of the world's leading investors prior to its public listing, Merlin continues to advance the certification and commercialization of autonomous flight across commercial and defense aviation.

About you:

You are a software leader who thrives in enabling deployment of Next-gen AI models through a comprehensive data strategy for AI model training, simulation and deployment .You have a technically grounded thorough appreciation that in autonomous systems, the quality of AI model training, simulation and release infrastructure is inseparable from the Performance and safety of what you ship. You've built the data flywheels and worked closely with provisioning training clusters, as well as data-driven, physics-based and high-fidelity simulators. You know what it takes to engineer the data pipeline that makes simulated environments realistic enough to deploy AI models confidently in safety critical environments like aviation and automotive space. You are organized, methodical, and skilled at building systems that other engineers rely on every day.

Responsibilities:

• Define and execute a comprehensive data strategy that spans AI model training, simulation, and production deployment across safety-critical autonomous systems.
• Own the end-to-end data pipeline — from raw collection and labeling through curation, versioning, and delivery — ensuring the reliability and scale that training and simulation workflows demand.
• Build and maintain data flywheels that continuously improve model performance by closing the loop between deployed system behavior and future training iterations.
• Collaborate closely with teams provisioning and operating large-scale GPU/TPU training clusters to align data delivery with compute capacity and training schedules.
• Drive the design and integration of data pipelines that feed data-driven, physics-based, and high-fidelity simulators, ensuring simulated environments are realistic enough to support confident AI model validation.
• Partner with safety, validation, and certification teams to establish data quality standards and traceability practices that satisfy regulatory requirements in aviation and/or automotive domains.
• Lead, mentor, and grow a team of data and infrastructure engineers, setting technical direction and fostering a culture of rigor, ownership, and continuous improvement.
• Define and track KPIs for data pipeline health, simulation fidelity, and model readiness, using these metrics to prioritize investments and communicate progress to senior leadership.

Qualifications:

• Degree in Computer Science, Artificial Intelligence, Data Science, Computer Engineering, Applied Math, or a related subject.
• 10+ years of engineering experience, with at least 4 years in a technical leadership role owning data infrastructure, MLOps, or AI platform engineering at scale.
• Demonstrated experience building and operating data pipelines for AI/ML model training, including dataset management, labeling workflows, and data versioning at production scale.
• Hands‑on experience integrating data systems with large-scale distributed training infrastructure (e.g., GPU/TPU clusters, job orchestration, experiment tracking).
• Deep understanding of simulation pipelines — including data-driven, physics-based, or sensor‑realistic simulators — and how data quality directly impacts simulator fidelity and model transferability.
• Experience working in or alongside safety‑critical domains (autonomous vehicles, aviation, robotics, or similar) with an understanding of what rigor, traceability, and validation mean in that context.
• Strong systems‑thinking mindset: you reason about data quality, pipeline reliability, and infrastructure design as interconnected constraints, not isolated problems.
• Track record of building platforms and tooling that other engineering teams depend on day‑to‑day, with a high bar for reliability, documentation, and developer experience.
• Excellent cross‑functional communication skills — able to translate technical data strategy into clear priorities for product, safety, and executive stakeholders.

Nice to Have:

• Experience with domain randomization, synthetic data generation, or sensor simulation techniques used to bridge the sim‑to‑real gap in autonomous systems.
• Familiarity with aviation‑specific standards (e.g., DO‑178C, DO‑254) or automotive safety frameworks (e.g., ISO 26262, SOTIF) as they relate to data and software validation.
• Prior experience building or scaling data flywheel systems — closed‑loop pipelines that feed real‑world deployment signals back into training and labeling workflows.
• Hands‑on background with perception, planning, or control model development in autonomous vehicles or UAV/UAS systems.
• Experience with formal data governance, lineage tracking, or provenance tooling in regulated environments.
• Contributions to open‑source tooling in the MLOps, data engineering, or simulation space.

$220,000 - $290,000 a year

The compensation range provided is reflective of base salary only, and is a good‑faith estimate based on a wide range of factors. The actual offer will be determined by a variety of factors including the candidate's qualifications, skills, experience, education, and training. Highly competitive equity grants are considered part of Merlin's total compensation package. Additionally, Merlin offers top-tier benefits for full-time employees.

This position is based on‑site at Merlin HQ in Boston, MA.

Once you’re here, you’ll enjoy a variety of on‑site perks designed to make your workday enjoyable and convenient. These include catered lunches featuring a rotating menu of delicious options, an assortment of snacks to keep you fueled throughout the day, and a selection of beverages, including coffee, tea, and other drinks, to keep you refreshed.

Our goal is to create an environment where you can thrive both professionally and personally

Merlin Labs offers an innovative, entrepreneurial, and team‑focused startup environment. We also offer a top‑notch benefits package (health, dental, life, unlimited vacation, and 401k with match) and work/life integration. Being part of the Merlin team allows you to become part of a small team that supports professional development while working together to achieve our mission.

Merlin Labs is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, genetic information, sex (including pregnancy), gender, gender identity and expression, sexual orientation, age, marital status, military service or obligation or disability status, or any other characteristic protected by law. All job offers are contingent upon the candidate passing background and reference checks.

At this time, we are unable to provide visa sponsorship or consider candidates who require visa transfers. Applicants must be authorized to work in the United States without the need for visa sponsorship now or in the future.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

If you require reasonable accommodation in completing an application, interviewing, completing any pre‑employment testing, or otherwise participating in the employee selection process, please direct your inquiries to: [e-mail]

Merlin Labs does not accept unsolicited resumes from any source other than directly from candidates.