ML Engineer

Overview

Sigma Squared is seeking a Staff Machine Learning Engineer to oversee our ML infrastructure and full lifecycle of ML solutions across the platform; from data exploration and modeling to deployment, monitoring, and iteration. You’ll work closely with product, data, and engineering teams to architect scalable AI infrastructure and drive the technical strategy for our AI-powered products. As a senior member of the engineering team, you can expect to own multiple, cross‑functional technical initiatives while also mentoring other engineers and establishing the technical standards that enable rapid innovation with an eye on performance and reliability as we scale.

• Design and implement end‑to‑end ML pipelines: data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment.

• Monitor model performance, detect drift, and iterate on improvements.

• Collaborate with data scientists and engineers to improve data quality and availability.

• Work cross‑functionally to translate business problems into ML solutions.

• Maintain documentation, experiment tracking, and reproducibility.

• Demonstrated experience deploying ML models into production.

• Strong proficiency in Python, SQL, and ML toolkits (Num Py, Pandas, Scikit‑Learn, PyTorch, Tensor Flow).

• Familiarity with MLOps concepts: feature stores, model registries, monitoring, etc.

• Cloud infrastructure technology experience and a friendly, flexible disposition.

• Ability to communicate clear technical findings to technical and non‑technical audiences.

• Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent additional professional experience.

• This role is based in our Cambridge, MA office and is on‑site full time.

Know some of these already? Great! Don’t? We’ll-talk tearn!

• Product Stack:
  Type Script, React.js & Node.js

• Distributed Compute:
  Ray, Dagster

• Hosting:
  Amazon Web Services - Cloud Formation, Lambda, Batch, ECS, S3, etc.

• Databases:
  Dynamo
  
  DB & Snowflake

• Data Science:
  Python (pandas)

A uniquely compelling opportunity to advance our mission with world‑class colleagues, a tremendous amount of responsibility and autonomy, and accessucune all the information you need to succeed. Plus:

• Competitive salary and generous stock options (that you’ll make incredibly valuable)

• Comprehensive health, dental, vision, and FSA/HSA

• 401K with employer match

• Flexible PTO and all the usual holidays

• Fully stocked kitchen with coffee and snacks

• Pre‑tax commuter benefits

• Employer‑paid life and disability insurance

• Educational assistance and training reimbursement

• Employee assistance with no‑cost counseling, referrals, and resources

• Financial wellbeing support with no‑cost consultations, personalized assessments, and coaching

• Adoption assistance, free legal support, and more

Sigma Squared helps firms unleash productivity by putting data at the center of every decision. We combine econometrics and a flexible, modular platform to transform the way organizations recruit, hire, retain, promote, and develop their frontline work forces. By delivering actionable insights, integrated tools, and measurable financial impact, we empower enterprises to optimize hiring and promotion paths, unlocking the full potential of their people while driving meaningful business outcomes.

To learn more about Sigma Squared, visit sigmasquared.io