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Machine Learning Engineering Lead Jobs in Somerville, MA

SupportFinity™

Machine Learning Engineer

Boston, MA · On-site

D. preferred in Computer Science, Machine Learning, Engineering or a related field, or BS/MS + seasoned experience * Proven experience with protein-ligand co-folding algorithms (e.g., Boltz ...

Capital One

Lead Machine Learning Engineer

Cambridge, MA · On-site

$112K - $147K/yr

Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating ... We are committed to continuing to build world-class applied science and engineering teams to ...

Capital One

Lead Machine Learning Engineer

Cambridge, MA · On-site

$112K - $147K/yr

Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating ... We are committed to continuing to build world-class applied science and engineering teams to ...

XPO Logistics

Machine Learning Engineer - Hybrid

Boston, MA · On-site

$100K - $120K/yr

Bachelor's degree in Computer Science, Engineering, or related field, or equivalent related work or military experience * 1 year of experience in software or machine learning engineering, including ...

XPO

Machine Learning Engineer - Hybrid

Boston, MA

$100K - $120K/yr

Bachelor's degree in Computer Science, Engineering, or related field, or equivalent related work or military experience * 1 year of experience in software or machine learning engineering, including ...

XPO Logistics

Machine Learning Engineer - Hybrid

Boston, MA · On-site

$100K - $120K/yr

Bachelor's degree in Computer Science, Engineering, or related field, or equivalent related work or military experience * 1 year of experience in software or machine learning engineering, including ...

XPO Logistics

Machine Learning Engineer - Hybrid

Boston, MA · On-site

$100K - $120K/yr

Bachelor's degree in Computer Science, Engineering, or related field, or equivalent related work or military experience * 1 year of experience in software or machine learning engineering, including ...

XPO Logistics

Machine Learning Engineer - Hybrid

Boston, MA · On-site

$100K - $120K/yr

Bachelor's degree in Computer Science, Engineering, or related field, or equivalent related work or military experience * 1 year of experience in software or machine learning engineering, including ...

XPO

Machine Learning Engineer - Hybrid

Boston, MA

$100K - $120K/yr

Bachelor's degree in Computer Science, Engineering, or related field, or equivalent related work or military experience * 1 year of experience in software or machine learning engineering, including ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · Remote

$125K - $165K/yr

This role requires a strong understanding of Large language models, machine learning principles, data engineering, and experience working with sensitive healthcare data. Key Responsibilities * Data ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

This role requires a strong understanding of Large language models, machine learning principles, data engineering, and experience working with sensitive healthcare data. Key Responsibilities * Data ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site

$133K - $175K/yr

This role requires a strong understanding of Large language models, machine learning principles, data engineering, and experience working with sensitive healthcare data. Key Responsibilities * Data ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

This role requires a strong understanding of Large language models, machine learning principles, data engineering, and experience working with sensitive healthcare data. Key Responsibilities * Data ...

Sierra Ventures

Machine Learning Engineer

Somerville, MA · On-site

$170K - $200K/yr

Contribute to a collaborative, high‑performing engineering culture What You Will Do * Design, train, evaluate, and deploy machine learning models for production applications * Collaborate with ...

Modulate

Machine Learning Engineer

Somerville, MA · On-site

$170K - $200K/yr

Contribute to a collaborative, high‑performing engineering culture What You Will Do * Design, train, evaluate, and deploy machine learning models for production applications * Collaborate with ...

Manulife

Machine Learning Engineer

Boston, MA · Hybrid

$162K/yr

Machine Learning Engineer Job Duties: * Develop, build and maintain scalable data pipelines ... Collaborate with data scientists, underwriters, and engineering teams to translate business ...

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Showing results 21-40

All JobsMachine Learning Engineering Lead JobsMachine Learning Engineering Lead Jobs in Somerville, MA

Machine Learning Engineering Lead information

See Somerville, MA salary details

$46.4K

$135.1K

$197K

How much do machine learning engineering lead jobs pay per year?

As of Sep 14, 2026, the average yearly pay for machine learning engineering lead in Somerville, MA is $135,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,900.00 and $147,300.00 per year, depending on experience, location, and employer.

Machine Learning Engineer

Boston, MA • On-site

SupportFinity™
IT Services • 51 - 200 employees
Learn more about SupportFinity™external

Other

Re-posted 3 days ago

Key responsibilities

  • Implement algorithms for hit identification through virtual screening and other high throughput computational methods.

  • Adapt and implement cutting-edge ML architectures for co-folding to augment structural biology capabilities.

  • Design and deploy active learning frameworks that utilize experimental assay results to iteratively improve model performance.

Job description

About Superluminal Medicines

Superluminal Medicines is a generative biology and chemistry company revolutionizing the speed and accuracy of how small molecule medicines are created. The Company's platform aims to create candidate-ready compounds with unprecedented speed using a combination of deep biology, computational and medicinal chemistry, machine learning, and proprietary big data infrastructure. We are expanding the team of talented scientists who seek to build the future of small molecule drug discovery with creativity and innovation.

About the Role

We are seeking a high-impact Machine Learning Developer/Engineer to join our integrated discovery team. In this role, you will be the algorithmic engine of our programs, developing and deploying state-of-the-art ML models to generate the quantitative predictions necessary to drive drug discovery. Beyond technical mastery, you will serve as a core scientific partner to medicinal chemists, computational chemists, and biologists, building models that move programs efficiently toward Go/No-Go decision points and candidate nomination.

Key Responsibilities
  • Implement algorithms for hit identification through virtual screening and other high throughput computational methods as part of a cross-functional team
  • Adapt and implement cutting-edge ML architectures for co-folding to augment our extensive internal structural biology expertise and capabilities
  • Design and deploy active learning frameworks that utilize experimental assay results to iteratively improve model performance and reduce the number of "Design-Make-Test-Analyze" cycles leveraging state-of-the-art de novo design, ADMET predictions, and affinity predictions
Required Qualifications
  • Ph.D. preferred in Computer Science, Machine Learning, Engineering or a related field, or BS/MS + seasoned experience
  • Proven experience with protein-ligand co-folding algorithms (e.g., Boltz, AlphaFold, OpenFold, etc) and the ability to integrate these structural insights into broader ML discovery pipelines.
  • Advanced proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow) is required. You must be capable of building and maintaining production-quality code and data pipelines.
  • Exceptional ability to communicate the "why" behind a design to a diverse scientific audience.
Preferred Qualifications
  • Expert-level knowledge of deep learning frameworks, specifically for affinity prediction, ADMET modeling, and the application of LLMs in a biological or chemical context
  • Expertise fine-tuning existing models with internally generated structural biology and biology data
  • Experience deploying ML/AI algorithms for use by a cross-functional scientific audience
  • 1-4+ years of experience in a biotech or pharma setting
Skills & Competencies
  • A demonstrated track record of innovation in the ML/AI space, including developing and validating new architectures or novel applications of existing models to solve complex drug discovery problems including tools for hit identification (virtual screening, HTS)
  • Expert level use of protein-ligand co-folding algorithms to small molecule drug discovery ML/AI tools (AlphaFold, Boltz, OpenFold)
  • Experience writing production-level code for ML tasks:
    • Knowledge of key scientific packages (RDKit, scikit-learn, numpy, pandas, pytorch, deepchem, polars, PyG/DGL):
    • Write robust, testable, and version-controlled code that adheres to CI/CD and data governance best practices.
    • Value clarity, documentation, and structured thinking, especially when working with complex data
    • Knowledge of containerization technologies (Docker, Kubernetes) and cloud deployment at scale
Equal Opportunity Statement

Superluminal Medicines is an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status.

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