ML Infrastructure Engineer

We are looking for a PLC Integration Engineer to own the network and control-system layer of Laminar’s customer deployments. This is a hands-on technical role at the intersection of industrial automation, IT/OT networking, and edge software — you will be the person who gets Laminar’s sensors and edge devices online, stable, and talking to Food and Beverage factory control systems. 
You will work directly with customer IT and OT teams to configure networks, commission PLC connections, and troubleshoot integration issues from first install through steady-state operation. When things break, you dig in and fix them. When patterns emerge, you document them, so the next deployment moves faster. 
This role is a launchpad. Engineers who thrive here grow into edge software engineering, senior FDE roles with full account ownership, or go-to-market paths in sales and solutions engineering.

What You Will Do

- Develop computer orchestration tooling for researchers to seamlessly launch modeling jobs on large-scale data – training, fine-tuning, inference.

- Design model testing environments that automatically evaluate model performance without a human in the loop through semi-supervised metrics and process-aware priors.

- Build model registries and automated deployment pipelines that support large-scale model tracking, versioning, and deployment on edge devices.

- Develop monitoring tools for deployed models: detect model drift or anomalies, then trigger continuous training (CT) pipelines as needed.

- Work with ML researchers, ML developers to design systems that meet their needs; work with software engineers to design systems that interact gracefully with existing infrastructure.

- Build for our unique use-cases and problems – not for the average problem.

About You

- Highly experienced using cloud platforms (AWS, Databricks) to train and evaluate ML models on large-scale data.

- Experienced using off-the-shelf tools (MLflow, wandb) for experiment tracking and model lifecycle management (versioning, artifact registry, deployment, monitoring).

- Highly experienced with Python and relevant SDKs (boto3, databricks-sdk, mlflow); familiar with modern ML frameworks (jax, pytorch).

- Familiar accessing data through SQL, Databricks/Apache Spark, and raw parquet formats.

- An engineer who thrives on building easy-to-use tools that researchers love to use.

- Highly detail-oriented: you understand the nuances in our workflows and respect the challenges that come with large-scale ML training and deployment to edge devices.

- Open-minded and independent thinker – well-versed in building tailor-made solutions that address real pain points.

- An executor who can both independently complete technical project objectives and provide domain expertise to guide engineering design decisions.

Preferred (if any)

- Chemical engineering, process engineering, or manufacturing domain knowledge (highly valued).

- Past experience working with spectral data, time-series data, or sensor data.

- Experience building or evaluating custom ML models.

- Experience building real products and practicing user-centric design.

Benefits

- Direct impact on product and culture.

- Comprehensive benefits package including Medical, Dental, Vision, Life Insurance, Disability, Transportation benefit, Health and Wellness benefit, and more.

- 401k plan with employer matching

- Equity

- Competitive salary and bonus opportunities.

- Dynamic and inclusive work environment.

- Opportunities for growth and professional development.

- Access to Greentown Labs' extensive network of cleantech startups.

Learn How We Think

- Learn about our startup journey: Our Journey (https://runlaminar.com/blog/fabrication-journey)

- How we're combating climate change: AI-Powered Climate Tech (https://runlaminar.com/blog/ai-climate-tech)

Why You'll Love it Here
A front-row seat at Greentown Labs, North America's largest cleantech innovation hub, in a Somerville neighborhood ranked one of the coolest in the world
Real recognition: 2026 World Economic Forum Technology Pioneer, Gold 2026 Edison Award, Unilever Startup of the Year, Innovator Awards by both Coca-Cola and ABInBev, and more
A team that celebrates together from rooftop lunches, ping pong matches, Lunch & Learns, and regular team events
Competitive salary, equity, and a 401(k) with company match
Health, dental, and vision coverage, plus short- and long-term disability and life insurance
Flexible time off and 12 company-paid holidays
A conference and learning budget to keep growing your craft
Greentown Labs membership and a transportation benefit for your commute

Our Interview Process
1. Phone screen with Laminar Head of Ops or Recruiter (15-20 minutes)
2. Intro call with Hiring Manager (30 minutes)
3. On-site interview, including short tour of GTL, overview of tech, and interview/presentation with the Hiring Manager and a few team members. Depending on the role, a skills exercise that should take no longer than an hour to prep, would be sent ahead of time. We record your skills exercise to share with any team members who could not join the interview and/or with Founder's ahead of their Founder's Interview. If you are not local, we can conduct this virtually.
4. Finalists for Full-Time positions will have a Founder’s Interview in-person
 
Final steps:
Two professional references are requested, ideally one from your current organization and one who served as your Manager
If an Offer Letter is extended, a Background check is conducted
 
A recent study from LinkedIn showed that most women apply to jobs only when they meet 100% of the requirements, whereas men will hit the apply button if they hit 60%. Laminar (formerly H2Ok) is committed to building a diverse and inclusive team. So, to the women and nonbinary folks out there feeling unsure if you're a perfect fit, we strongly encourage you to apply! If you're ready to play a key role in scaling a game-changing company that’s transforming the industrial sector and advancing sustainability, we want to hear from you!
 
* We recently updated our domain to runlaminar.com. Please ensure you add the runlaminar.com domain to your safe senders list to ensure you receive our communications.

Our pay ranges are established per Pave Compensation Software. We’re also proud to offer equity in our fast-growing startup and one of the most comprehensive benefits packages among startups at our stage. Laminar pays 100% of the individual health insurance premium for HMO medical, vision, and dental, offers flexible PTO, a $90/month transportation benefit, a $65/month health and wellness benefit, FSA, 12 company-paid holidays, an employer-matching 401(k) (unheard of at this stage!), and Greentown Labs membership, among other valuable resources. (*subject to change)