(Jr) Machine Learning (ML) Developer

Laminar•Somerville, MA

3d•$89,000 - $141,000•Onsite

About The Position

Laminar is seeking an ambitious and hard-working Machine Learning (ML) Developer, ideally a recent graduate, to join their team. This role is at the forefront of applying AI to fluid and process manufacturing. The ML Developer will be responsible for the development and refinement of Laminar's machine learning models, which are central to their process optimization technology. The work will impact key process optimization models across various domains such as clean-in-place (CIP), product changeovers, and material identification. The role involves collaborating closely with ML/Data Scientists to transition cutting-edge models from prototype to production, which includes scaling model training, designing experiments, and conducting ablation studies to enhance model accuracy and reliability. This position is crucial for scaling Laminar's solutions and unlocking new markets by enabling novel use-cases.

Requirements

Proficient in at least one Python ML framework (PyTorch, JAX, TensorFlow).
Fluent with Python packages for numeric computing and data workflows (e.g. NumPy, Polars, Pandas, scikit-learn).
An engineer who favors clean, testable code and has a proven track record of delivering high-quality work on a timeline.
An executor who thrives with direction and can independently complete technical project objectives.
Detail-oriented with a natural curiosity about data, enthusiastic to test hypotheses, understand model workings, and run physical experiments to improve modeling capabilities.

Nice To Haves

Chemical engineering, process engineering, or manufacturing domain knowledge.
Experience with cloud environments (AWS, GCP) and/or Databricks.
Familiarity with spectral data, time-series modeling, or sensor-driven ML.
Familiarity with Bayesian modeling and probabilistic reasoning.
Experience building real products (ideally utilizing machine learning) and practicing user-centric design.

Responsibilities

Build machine learning models for data-driven, fluid-based industrial processes powered by Laminar's proprietary spectral sensors and software platform.
Design and run experiments to evaluate and select machine learning models that are generalizable, accurate, and robust to day-to-day process variability.
Work with spectral and multi-modal sensor data, building preprocessing and feature extraction pipelines to derive insights from noisy, real-world sensors.
Support model reliability by developing monitoring (and correction systems, when applicable) for model drift, sensor drift, and process anomalies.
Develop performant ML infrastructure and tooling in collaboration with ML/Data Scientists and software team members.
Work across problem domains including chemometrics, hybrid modeling, and self-supervised learning. Modeling tasks include distribution modeling, drift and anomaly detections, similarity analyses, and continuous calibration.

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.
Transportation benefit for your commute.
A team that celebrates together from rooftop lunches, ping pong matches, Lunch & Learns, and regular team events.
Laminar pays 100% of the individual health insurance premium for HMO medical, vision, and dental.
Flexible PTO.
A $90/month transportation benefit.
A $65/month health and wellness benefit.
FSA.
12 company-paid holidays.
Employer-matching 401(k).
Greentown Labs membership, among other valuable resources.