Senior Principal Machine Learning Engineer
Resume:
Allen Goodman
Senior Principal Machine Learning Engineer
AI Research • Computer Vision • Scientific ML • Open-Source Engineering Somerville, MA
www.linkedin.com/in/allen-goodman
**************@*******.***
TARGET ROLES
Principal ML Engineer AI Research Engineer Data Scientist Scientific ML Lead EXECUTIVE PROFILE
Senior Principal Machine Learning Engineer with a rare blend of AI research, scientific computing, computer vision, signal processing, numerical analysis, and product leadership. Background spans biotechnology at Genentech, research engineering in Meta FAIR, biomedical imaging at the Broad Institute of MIT and Harvard, developer tooling at Progress Chef, and early product leadership at Simple Finance. Recognized for contributing to widely used research and open-source ecosystems including NeuralCompression, PyTorch, Segment Anything, and CellProfiler.
SIGNATURE STRENGTHS
Research-to-Production ML
Turn ambiguous AI/scientific questions into working systems, reusable software, evaluation plans, and production-aligned delivery. Computer Vision & Imaging
Deep experience with microscopy image analysis, visual AI systems, signal processing, and scientific image-analysis workflows. Open-Source Engineering
Contributor/co-author across PyTorch, Segment Anything, NeuralCompression, and CellProfiler ecosystems.
Technical Leadership
Senior-principal-level ownership across design decisions, code quality, stakeholder alignment, and complex engineering execution. CORE TECHNOLOGY & DOMAIN KEYWORDS
AI / ML Machine Learning, Deep Learning, Research Engineering, Scientific ML, Model Evaluation, Applied AI VISION / SIGNALS Computer Vision, Image Analysis, Microscopy Imaging, Signal Processing, Numerical Analysis FRAMEWORKS PyTorch, Segment Anything, NeuralCompression, CellProfiler, Open-Source ML Tooling LEADERSHIP ML Systems Design, Technical Roadmaps, Cross-Functional Delivery, Research Prototyping, Product Strategy PROFESSIONAL EXPERIENCE
Senior Principal Machine Learning Engineer Genentech New York, NY
May 2025 - Present
• Lead principal-level machine learning engineering for complex biotechnology and scientific-computing environments requiring strong model reasoning, technical design, and execution quality.
• Shape ML approaches for ambiguous scientific and product problems by combining numerical analysis, signal processing, computer vision, and research-engineering judgment.
• Partner across technical and scientific stakeholders to align experiments, engineering standards, evaluation criteria, and delivery roadmaps.
Principal Machine Learning Engineer Genentech
New York, NY
Feb 2024 - May 2025
• Advanced ML engineering initiatives from concept through implementation, emphasizing reusable software, reliable experimentation, and maintainable model-development workflows.
• Translated research needs into clear technical plans, model prototypes, reviewable code, and practical implementation paths for cross- functional teams.
Senior Machine Learning Engineer Genentech
San Francisco, CA
Nov 2022 - Feb 2024
• Built applied machine learning and scientific software capabilities supporting research-driven product development and experimentation.
• Improved code quality and reproducibility through strong engineering habits, documentation, review discipline, and reusable components. Research Engineer (E6), Facebook AI Research Meta Cambridge, MA
Sep 2021 - Nov 2022
• Worked in Meta FAIR on data compression, optical neural networks, and first-class differentiability.
• Contributed to NeuralCompression, PyTorch, and Segment Anything, supporting high-impact open-source AI and research infrastructure.
• Partnered with research scientists and engineers to convert experimental AI concepts into reliable code, benchmarks, and reusable tooling.
Principal Software Engineer Broad Institute of MIT and Harvard Cambridge, MA
Sep 2015 - Jul 2021
• Member of the Anne Carpenter Laboratory and the Broad Institute Imaging Platform; served as a Chan Zuckerberg Initiative Engineering Fellow.
• Co-authored CellProfiler, a widely used application for analyzing microscopy images in biological research.
• Built scientific software for high-throughput image analysis, reproducible research workflows, and extensible biomedical imaging use cases.
• Collaborated with scientists and engineers to translate research needs into robust image-analysis features and maintainable tooling. Senior Software Engineer Progress Chef
Seattle, WA
Sep 2013 - May 2015
• Delivered production software in developer-tooling and automation-oriented environments, supporting reliability, maintainability, and team productivity.
• Worked closely with product and engineering stakeholders to transform requirements into clean, practical, production-ready systems. Director of Products Simple Finance
Portland, OR
Jan 2010 - Aug 2013
• Helped start and build a consumer banking product from the ground up, combining product strategy, user experience, engineering partnership, and regulated-domain execution.
• Led product direction across design, engineering, operations, and customer needs while balancing usability, feasibility, and business priorities.
OPEN-SOURCE & RESEARCH ECOSYSTEMS
NeuralCompression PyTorch Segment Anything CellProfiler Open-source and research software contributions span deep learning infrastructure, data compression, differentiable systems, computer vision, and microscopy image analysis.
EDUCATION
Amherst College Mathematics 2012
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