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emoji of a pushpinHybrid - Somerville, MAemoji of a money bag$140,000-165,000
emoji of a woman of coloremoji of a man3 people in techemoji of a woman of coloremoji of a woman 1 woman in techemoji of a woman of coloremoji of a person of color 1 person of color in tech

Enabling scalable metabolomics through AI and analytical chemistry


About Us

Matterworks, Inc. is building the world’s most powerful metabolomics platform, which accelerates the discovery, development, and manufacturing of biologics and gene therapies. A venture-backed startup, our mission is to democratize metabolomics and catalyze its widespread adoption and integration into the life sciences.

The field of metabolomics sits today where genomics was positioned in the early 2000’s: ripe for a breakthrough that drives explosive adoption of metabolomics as an essential tool for the life sciences. To realize this opportunity, our platform combines mass spectrometry with advanced AI to systematize, scale, and accelerate metabolomics workflows.

Role Description

We are seeking a software engineer who will bring our core machine learning models to life in our microservices-based cloud platform. An integral member of our software team, you will also collaborate closely with our AI/ML researchers to operationalize models. You will bring your experience with large-scale computing, security, model optimization, monitoring, and continuous integration and deployment to provide our customers with a seamless experience.

This is a unique opportunity to advance the AI/ML technology at the core of our first-of-its-kind platform, and to contribute to the development of our digital metabolomics products from the ground up. Working closely with our multidisciplinary product development team, you will grow your technical expertise and leadership, and play a key role in delivering an innovative platform that will advance scientific research and discovery.

Key Responsibilities

-  Build and manage infrastructure and tooling to optimize, deploy, monitor, and fine-tune deep learning models on AWS

- Design and implement large-scale data ingestion pipelines, feature engineering workflows, feature stores, and data lakes

- Collaborate with machine learning researchers, software engineers, and marketing professionals to bring our latest AI technologies into production

About You

- 4 or more years of professional DevOps experience operationalizing products in a cloud environment such as AWS, Azure, or GCP

- 3 or more years of experience architecting, scaling, and supporting ML systems deployed to production

- Experience managing day-to-day operation of ML platforms in production for high availability

- Strong experience containerizing and orchestrating microservices, especially in an AWS environment

- Extensive experience optimizing models for inference using techniques such as pruning and quantization

- Demonstrated high level of proficiency in Python

- Solid understanding of modern deep learning architecture (CNNs, Transformers, etc.)

- Familiarity designing and publishing service APIs for internal and external integration

- Willingness to learn and adapt to new technologies, frameworks, libraries, and internally developed workflows as they become available

- Passionate about Matterworks’ mission to deliver novel technologies with the potential to transform the life sciences industry

Nice to Have

- Comfortable using PyTorch

- Completion of at least one full product development lifecycle, including deployment, support, and maintenance

- Experience using AWS ML services within SageMaker ecosystem

- Familiarity developing software for use in a strictly regulated environment

- Experience collaborating cross-functionally with scientists, AI/ML experts, and marketing teams

- Familiar with agile development methodologies, including FDD, TDD, and BDD

Compensation and Benefits

Matterworks offers a competitive base salary, stock options, and benefits (health & dental, long- and short-term disability, life insurance, 401k). Employees enjoy a flexible work & unlimited time away policy, commuter benefits, regular team meals and outings, and company support for continued education/coursework and conference participation.

Matterworks, Inc. is an equal opportunity employer. All candidates for employment at Matterworks are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other category protected by law.


  1. Initial Screen: a brief, introductory phone call with our People Ops representative (est. 15-30min)
  2. Hiring Manager Call: a more formal technical interview, during which the Hiring Manager will review past work experience in greater detail (est. 30-45min)
  3. Group Interview: a series of meetings with others from the Hiring Team, including our Lead Machine Learning Engineer, and representatives of other teams with which you may interact in this position (e.g. Product Marketing, Analytical Sciences, and/or Commercial) - this may be performed remotely or onsite at our offices
  4. Reference Check, Offer


As a small, growing company, we appreciate the unique experience of each member of our team, and believe this diversity of perspective is the root of creative, innovative, and truly transformative work. In pursuit of our mission, we seek out qualified individuals that share our values and offer additional and complementary perspectives, rather than more of the same. 

We are committed to mentor, encourage, and support all individuals who join our team, especially those who identify with communities that are not yet represented at Matterworks. We utilize the resources of our broader community to help teach us what we do not know as we work to develop our own internal processes and resources to ensure diversity in recruiting and hiring, and inclusion of all members of the Matterworks team.

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