Machine Learning Jobs in Cambridge, MA

The Senior Solution Architect leads the architectural strategy for finance systems, aligning technology with business goals, ensuring compliance, and driving innovation through AI and ML integration.

The role involves training and deploying state-of-the-art ML models, with ownership over research projects and familiarity with data engineering.

Individual contributor applied GenAI engineer/data scientist leading ML projects end-to-end. Builds and productionizes LLM and ML solutions, partners with business stakeholders, identifies AI/ML use cases, manages multiple projects, and communicates results with clear visualizations to deliver measurable business impact.

Lead technical design and delivery of production AI/ML and GenAI solutions (RAG, LLMs, agents). Build, tune, deploy, and monitor models and APIs, own MLOps practices, operate cloud AI workloads, ensure software quality and responsible AI, and partner with cross-functional stakeholders while mentoring engineers.

Own strategy and roadmap for Crunchbase's customer-facing AI data layer. Identify and validate model-derived data products, lead cross-functional development, set quality standards, drive adoption and monetization, and monitor performance and product economics.

The role focuses on developing and implementing digital strategies using AI and automation in pharmacology and drug development, managing partnerships, and ensuring compliance with industry regulations.

Apply advanced AI, ML, and computational modeling to drug discovery and early development. Build scalable data pipelines and predictive models, integrate diverse scientific datasets, ensure model validation and reproducibility, and communicate insights to multidisciplinary teams to support decision-making.

Design, implement, and optimize computer-vision and multimodal ML algorithms; acquire and manage truth data; run experiments and rigorous evaluations; use MLOps tools for reproducibility; integrate and transition models to production (cloud, on‑prem, or embedded); track research advancements and analyze field-test data.

Lead global strategy to optimize and modernize financial crime detection across transaction monitoring, customer risk rating, and fraud models. Drive transition from rules-based controls to AI/ML-driven detection, oversee model lifecycle governance, reduce false positives, ensure regulatory defensibility, and partner with Compliance, Technology, Data, Operations, and vendors to deliver measurable risk and operational improvements.

Lead design, development, qualification, and implementation of in vitro cell-based pharmacology assays to support target validation, lead optimization, mechanism-of-action, and translational decision-making across Immunology, Oncology, and Metabolic programs. Drive assay innovation, CRO management, integration with in vivo and systems biology datasets, mentor scientists, and implement automation and AI-enabled analysis to improve data quality and reproducibility.

Lead the development and integration of advanced safety systems for scientific AI applications, building a team and establishing a research strategy.

As a Product Lead for Software/Applied AI, you will own specific product areas, guiding full-stack product execution and cross-functional collaboration to build impactful scientific tools.

The AI Lab Research Engineer will develop scientific AI models for complex problems, design and deploy AI agents, and collaborate across disciplines in a lab environment.

Lead product strategy and execution for multiple client digital products (web, mobile, AI). Act as primary client contact, define roadmaps and requirements, translate vision into user stories and designs, coordinate across design, engineering, PM, and QA, manage scope/prioritization, support sales and upsell opportunities, and ensure timely launches.

As a Solution Architect, you will design and architect modern IT systems for healthcare, collaborating with product owners and leading technical discussions to improve efficiency and service delivery.

As an AI Research Scientist II, you will develop and prototype AI solutions, advance drug design campaigns, and publish research while collaborating cross-functionally on cheminformatics and bioinformatics.

The Principal Systems Architect will lead multidisciplinary engineering solutions, bridge knowledge gaps, mentor teams, and drive complex system challenges while ensuring stakeholder needs are met.

Lead product strategy for Suno's research org by defining evaluation frameworks, connecting creator needs to model capabilities, prioritizing research, running experiments, and bringing model improvements to market in partnership with researchers and cross-functional teams.

The AI Sales Specialist will develop sales strategies, engage clients, manage relationships, negotiate contracts, and provide insights on AI technologies to drive business value for enterprise clients.

Lead research and advisory work on data foundations for analytics and ML: produce 8–12 research assets annually, drive vendor evaluations (Forrester Wave), consult clients on data/AI strategy, present at events, support business development, and foster cross-team collaboration. Focus areas include data quality, governance, context-ready data, large-scale data management, and measuring business outcomes from analytics and ML.

Lead a team of Principal Software Engineers to set technical strategy, contribute to system designs, and drive delivery while remaining technically active.

Lead statistical activities for Phase I-IV clinical trials from protocol design through reporting. Represent statistics on cross-functional teams, oversee programmers/CROs, perform QC and inferential analyses using SAS/R, apply statistical, machine learning and deep learning methods for modeling/simulation, and mentor junior statisticians.

Sales role focused on growing and expanding enterprise accounts in New England. Own full sales cycle, hunt new logos, build pipeline, close deals, coordinate with BDR, solutions architecture, and marketing. Articulate business value of AI and networking/security solutions, use AI tools to enhance prospecting and forecasting, and meet aggressive activity and revenue targets.

Lead execution of quality strategy and ownership of the QMS for a machine-learning SaMD. Build and manage a quality team, guide software V&V and release processes, ensure global regulatory compliance (FDA, EU MDR), run audits, CAPA, risk and post-market activities, and partner cross-functionally with R&D, Regulatory, Clinical and Product to ensure safe, compliant product lifecycle.

Lead statistical activities for Phase I-IV clinical trials from protocol design through reporting. Provide statistical oversight, collaborate cross-functionally, supervise programmers/CROs, apply SAS/R and ML/DL methods for analyses and automation, and support regulatory, safety, and publication deliverables.