Machine Learning Jobs in Cambridge, MA

This role involves architecting and engineering software for robotics, backend services, and machine learning systems, while collaborating on new projects.

Design and implement pixel-perfect, high-performance web applications from wireframes to production. Collaborate with designers, PMs, and engineers, iterate on architecture and best practices, explore AI/ML integrations, and contribute to a collaborative engineering culture.

Lead full-stack development for an AWS-based product: design and implement backend, data, and web UI; integrate external APIs and AI/ML features; collaborate cross-functionally; improve architecture and engineering practices; mentor teammates and deliver high-quality, production-ready code.

Lead engineering at a pre-seed GenAI startup: define architecture and tech stack, build the first B2B enterprise SaaS product, set up cloud infrastructure, DevOps and CI/CD, ensure code quality, hire and manage 1-2 engineers, and apply LLM/ML expertise to drive product and business strategy.

Design, develop, test, and deliver new features for Red Hat OpenShift AI. Build open-source machine learning and data-science pipeline software, perform full-stack TypeScript/Node.js/React development on OpenShift, run unit and end-to-end tests, participate in code reviews and agile ceremonies, contribute to patents, and engage with the open-source community.

Lead development and optimization of electronic trading algorithms, TCA systems, and Cloud DaaS platforms. Oversee multi-asset product research and deployment, collaborate with clients and engineers, build quantitative models and analytics (KDB+/Q, Python), and drive KPIs tied to trading performance, cost reduction, and client satisfaction.

Lead advanced analytics initiatives using SQL, Python, R, NLP/ML and Elasticsearch to generate insights for customer experience. Build automated analytics, manage Elasticsearch indexes, create visualizations in Kibana/Tableau, oversee reporting cycles, mentor junior staff, manage projects, and integrate data across Snowflake, AWS, and Oracle to support business decisions.

Lead and scale a multidisciplinary engineering organization to deliver AI-enabled consumer products. Define technology and data platform strategy, strengthen architecture and quality, drive delivery excellence, and align product, data, and engineering teams while developing future leaders.

The role involves leading the Metabolics Research team, managing drug discovery projects, guiding research strategy, and leveraging expertise in metabolic diseases.

The Principal Scientist will lead AI-driven research in neurology, focusing on neurodegenerative diseases through data analysis, integration, and AI/ML methods to discover biomarkers and targets.

Seeking a research assistant for projects on wearable robotics, including machine learning exoskeletons and prosthesis design.

Lead strategy and execution to apply AI across operations—identify high-impact opportunities, build and manage an AI-native team, deliver production LLM/ML solutions, ensure adoption and ongoing maintenance, and report measurable outcomes to the COO while partnering with finance, HR, and delivery leaders.

Lead a new team to define and deliver AI-powered operational solutions across finance, staffing, delivery, and sales. Set strategy, scope problems, build scalable LLM-based tools, ensure adoption and maintenance, report measurable outcomes to the COO, and manage a distributed team focused on production-grade AI solutions.

Design, implement, and scale event-driven, distributed backend systems in Python on AWS to process and enrich large-scale document and media datasets. Lead technical projects, mentor engineers, integrate ML/LLM components, optimize performance, maintain observability, and collaborate with Data Science, ML Engineering, and Product to deliver reliable high-throughput content processing services.

Lead zero-to-one product initiatives to transform knowledge discovery using ML/LLMs. Define vision, roadmap, and success metrics; prioritize trade-offs; partner with Design, Engineering, ML, and Data Science; deliver incremental wins while building an extensible platform and improving prospect and subscriber experiences across devices.

Design, build, and optimize event-driven, distributed backend systems and APIs in Python for large-scale content metadata extraction and enrichment. Deploy and operate resilient AWS-based pipelines, collaborate with ML teams to integrate models, and ensure system performance, observability, and data integrity.

Design, build, and scale event-driven, distributed backend systems in Python to extract and enrich metadata at massive scale. Lead architecture, mentor engineers, integrate ML/LLM components, optimize performance, and ensure observability and reliability across AWS-based pipelines.

As a Senior Lead Machine Learning Engineer, you'll design and implement machine learning applications, lead teams, and optimize systems and data pipelines while collaborating in an Agile environment.

The Senior Product Architect will design security products, collaborating with product management and engineering teams, focusing on architecture and functionality for high-level product features.

Transfyr seeks adaptable builders for various roles across CS, biology, and business. Responsibilities include developing sensor stacks, data harmonization, computer vision, machine learning systems, lab operations, project management, and business development.

The role involves designing educational content for quantum computing, utilizing AI and machine learning for community engagement and customer training.

As a Senior MLOps Engineer, you will design, build, and operate the infrastructure and ML platform for ClimateAi's forecasting products, collaborating closely with Data Science and Engineering teams to enhance model management and data systems.

Hands-on principal data scientist to design, build, and scale digital twins, simulation, forecasting, optimization, and decision-intelligence solutions for therapeutics development and supply. Partner with cross-functional teams to translate complex processes into computational models, deliver production-ready analytical workflows in Python, apply software engineering practices, and mentor junior colleagues while driving measurable business impact in R&D and supply planning.

Support development of pricing arrangements, financial models, budgets and AFAs for a law firm. Produce pricing analyses, competitive market research, and performance metrics. Collaborate with attorneys, IT, and data teams to implement pricing tools (Elite 3E, Iridium), leverage AI/analytics for forecasting, and train stakeholders on pricing technology.

Develop and maintain geometry processing, simulation, rendering, and data pipelines for 2D/3D engineering data. Curate large-scale datasets, implement post-training ML workflows, and contribute to domain-specific languages and engineering tooling. Bridge ML research and practical CAD/CAM/CAE applications.