Junior Machine Learning Developer

About Laminar

Laminar, formerly known as H2Ok Innovations, is at the forefront of cleantech advancement, revolutionizing process industries and manufacturing with a focus on operational efficiency and sustainability. Utilizing Laminar AI Co-pilot models alongside innovative sensor technology, the company enhances facility performance across sectors such as process manufacturing, water management, energy conservation, and waste reduction. Based in Greentown Labs, a leading cleantech innovation hub, this woman-founded startup is backed by prestigious investors and has earned recognition along with adoption from major global corporations including Unilever and The Coca-Cola Company.

Role Overview

As a Junior Machine Learning Developer, you will play a pivotal role in developing and refining the machine learning models central to Laminar’s process optimization technologies. You will collaborate closely with a team of ML/Data Scientists to transition models from prototypes to production-ready systems. Your contributions will support a range of industrial processes such as clean-in-place (CIP), product changeovers, and material identification, among others.

Key Responsibilities

• Create cutting-edge machine learning models utilizing Laminar's proprietary spectral sensors and software platform to drive new standards in fluid-based industrial processes.
• Design and execute experiments to assess model generalizability, accuracy, and robustness against process variability.
• Develop data preprocessing and feature extraction pipelines to interpret diverse, multi-modal sensor data from real-world operations.
• Maintain model reliability through monitoring and correcting for model drift, sensor drift, and process anomalies.
• Collaborate with ML Scientists and software engineers to build effective machine learning infrastructure and tooling.
• Engage in diverse modeling tasks including chemometrics, hybrid modeling, self-supervised learning, distribution modeling, drift/anomaly detection, similarity analyses, and continuous calibration.

Candidate Profile

Required Qualifications:

• Proficiency in at least one Python-based ML framework such as PyTorch, JAX, or TensorFlow.
• Strong knowledge of Python numerical and data libraries including NumPy, Polars, Pandas, and scikit-learn.
• Ability to produce clean, maintainable, and well-tested code while meeting project deadlines.
• Self-motivated with capability to execute technical objectives independently and deliver results.
• Detail-oriented with a natural curiosity towards data analysis and a proactive approach to testing hypotheses and refining models.

Preferred Experience:

• Background in chemical engineering, process engineering, or manufacturing domains.
• Familiarity with cloud platforms such as AWS or GCP and experience with Databricks.
• Experience working with spectral data, time-series models, or sensor-based machine learning.
• Knowledge of Bayesian modeling and probabilistic inference techniques.
• Exposure to building real-world products incorporating machine learning and user-focused design principles.

Benefits and Culture

• Opportunity to significantly impact both product development and company culture.
• Comprehensive benefits including medical, dental, vision, life insurance, disability coverage, transportation benefit, and wellness programs.
• 401(k) with employer match and equity participation in a rapidly growing startup.
• Competitive salary and potential bonus incentives.
• Dynamic, inclusive, and empowering work environment encouraging creativity and excellence.
• Access to Greentown Labs’ extensive cleantech community network.
• Pathways for professional growth and development.

Additional Information

Laminar prioritizes diversity and inclusion, encouraging applications from women and nonbinary individuals, and fosters a supportive environment for extraordinary growth and innovation. The recruitment process includes multiple interview stages with opportunities for skills assessments and final interviews with company founders. The company uses AI-enhanced tools to assist with the hiring process but maintains human-led final decisions. Laminar offers an impressive benefits package for its stage and commits to covering 100% of individual premiums for HMO medical plans, vision, and dental. Other perks include flexible paid time off, holidays, transportation and health & wellness stipends, and membership at Greentown Labs. Background checks and references are part of the final hiring steps.