Machine Learning Engineer Jobs in Boston

Anduril Industries

Anduril Industries is a defense technology company focused on transforming U.S. and allied military capabilities with advanced technology. We are seeking a Software Engineer to join our Battlespace Awareness team, specializing in complex, real-world problems through cutting-edge algorithms and intelligent software integrations. This role involves providing software engineering and development support for core team tools and, for candidates with an ML background, helping to establish new ML infrastructure to optimize system parameters and detect performance regressions.

$191k - $254k

Lila Sciences is seeking a Principal Machine Learning Engineer to join their growing Applied AI organization. This role focuses on adapting and improving AI models for customer-specific scientific needs, bridging the gap between cutting-edge model capabilities and real-world applications. You will be instrumental in shaping how Lila's AI models are fine-tuned, evaluated, and integrated into reliable workflows for customers. This is a senior individual contributor position requiring deep, hands-on expertise in model post-training, evaluation, and production ML systems.

$252k - $336k

Lila Sciences is building an operating system for science, powered by scientific superintelligence. The Molecular Intelligence team focuses on building ML and physics-based infrastructure for drug discovery, including biophysics workflows, computational chemistry tools, and simulation workflows. This role involves embedding with scientists and collaborating with platform teams on storage, compute, and orchestration. The core of the work is building a provenance system to track scientific inputs, code versions, models, runs, and results across various workflows, enabling scientists to easily find, trace, and reuse discoveries.

$148k - $240k

Lila Sciences is seeking a Staff Engineer to lead the technical direction of its core data infrastructure. This role involves designing and evolving systems for ingesting, storing, and serving data critical to scientific discovery and machine learning workflows. You will work closely with scientists and researchers to translate requirements into robust platform capabilities, establish architectural patterns and engineering standards, and mentor other engineers. The position is ideal for individuals passionate about data system design who want to make impactful technical decisions.

$192k - $288k

We are seeking a Staff or Principal Software Engineer to join our Scientific System of Record Team and help define and build the next-generation AI-driven scientific platform. In this role, you will serve as a technical leader for systems that connect scientific intent, laboratory execution, data capture, and AI-driven analysis. You will shape the architecture of user interfaces, services, high-performance APIs, databases, and reliability-critical systems that integrate advanced AI frameworks with complex scientific analytics and laboratory workflows. You’ll work closely with ML researchers, platform engineers, data engineers, product teams, and scientists to turn complex scientific processes into scalable, elegant software systems. This is an opportunity to set technical direction for a cutting-edge AI platform with real scientific impact.

$204k - $310k

Lila Sciences is seeking a Principal Software Engineer, Instrument Simulations to architect and lead the development of their next-generation laboratory automation platform. This role involves designing the simulation infrastructure and integration layer that connects AI-driven experimental design with physical robotic systems, enabling closed-loop scientific discovery at scale. The company is building Scientific Superintelligence™ to solve humankind's greatest challenges by combining advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously.

$204k - $272k

Lila's Physical Science AI team leverages AI to accelerate discovery in materials and chemistry, contributing to the company's mission of building Scientific Superintelligence. As a Machine Learning Engineer, you will act as a crucial link between research and production, transforming models and agentic workflows developed by scientists and researchers into reliable, scalable systems. The role emphasizes strong software engineering skills and practical experience in deploying ML systems to production, with a scientific background being a beneficial but not essential attribute. Curiosity and a passion for scientific discovery are key to thriving in this position.

$180k - $298k

Lila Sciences is seeking a Software Engineer to join a team that builds software powering the company's ML workflows and research tooling. You will collaborate with Machine Learning Engineers and Researchers to develop, support, and maintain Lila's ML libraries and tools. This role involves designing and building high-performance, secure, and well-documented Machine Learning libraries, creating CI/CD pipelines and integration tests for ML workflows, and architecting repository designs to follow consistent standards. You will also support debugging, logging, and maintenance for Ray-based compute environments and develop data ingestion pipelines linking lab data to ML teams.

$144k - $240k