QuEra Computing: Develops and operates neutral-atom quantum computing systems.
Pursuing a degree in physics, computer science, mathematics; strong physics and optics; Python skills (PyTorch, NumPy, SciPy, Pandas) a plus; good problem-solving and teamwork.
GE VernovaNYSE: GEV: Designs and services technologies for global power generation and electrification.
5+ YOEMaster's or PhD and 5+ years relevant experience; prompt engineering, LLM integration, Python, PyTorch, Pandas, NumPy, Git; strong communication and problem-solving skills.
LazardNYSE: LAZ: Global financial advisory and asset management firm.
Bachelor's in a quantitative field or equivalent experience; hands-on work with vendor financial datasets; strong SQL and Python (pandas, NumPy); experience with time-series data quality, reconciliation, and monitoring.
DataRobot: Provides an enterprise platform for building and governing AI.
Pursuing or recently completed BS/MS in CS/data science/engineering; proficiency in Python (pandas,numpy); foundational ML knowledge; strong communication and autonomy; passion for autonomous agents.
Senior Analyst, Portfolio Strategy & Management - Liberty Mutual Investments
Boston or New York
$90k-$180k/yrOnsiteFull Time
Liberty Mutual Insurance: Global provider of property and casualty insurance products.
3+ YOE3+ years private markets experience, strong Python and SQL skills, experience with pandas/NumPy/SciPy, private market systems knowledge, quantitative modeling, communication and multitasking skills.
Principal Scientist, Translational Modeling & Decision Science
Cambridge, Massachusetts, United States
$179k-$236k/yrOnsiteFull Time
Flagship Pioneering: Conceives, creates, and builds life science platform companies
PhD-level translational scientist with mechanistic modeling experience, proficiency in Python (scipy,numpy,pandas) and ODE integration, strong communication, and ability to support multi-program drug development decisions.
3+ YOEMaster's in a quantitative field plus 3+ years conducting financial research; programming in Python and SQL; experience with Pandas, SciPy, NumPy, R, backtesting, ML, factor research, and portfolio construction.
Senior Analyst, Portfolio Strategy & Management - Liberty Mutual Investments
Boston or New York
OnsiteFull Time
Liberty Mutual: Provider of global property and casualty insurance products.
3+ YOE3+ years private markets experience, strong Python and SQL skills, experience with pandas/NumPy/SciPy, private market systems knowledge, analytical and communication skills, able to build models and pipelines.
Boston or Pittsburgh or Las Vegas or United States
$144k-$192k/yrHybridFull Time
Motional: Develops autonomous vehicle technology for driverless ride-hailing and delivery.
BS/MS in CS/ML, strong Python, hands-on PyTorch (or TensorFlow/JAX), SQL, Pandas, NumPy, experience with large datasets and full ML lifecycle, version control and unit testing proficiency.
OneScreen.ai: Platform for buying and measuring out-of-home advertising.
Ownership of a production ranking/matching/recommendation system; strong Python (NumPy, Pandas, FastAPI, SQLAlchemy), SQL and modern data warehouse experience (BigQuery preferred); modeling and evaluation rigor for ranking and retrieval.
The Brattle Group: Economic, financial, and regulatory consulting and expert testimony services.
0+ YOEBachelor's or equivalent technical experience, 0-3 years in data engineering/analytics/AI, strong Python and SQL skills, familiarity with pandas/NumPy/scikit-learn, Git, and applied ML/AI workflows.
CivilGrid: SaaS mapping platform for underground utility and site intelligence.
3+ YOE3+ years building computer vision systems in Python with OpenCV, NumPy, and PyTorch; strong classical CV and ML knowledge; experience preparing datasets, training and evaluating models; BS/MS in CS/EE or related.
Principal Front-Office Engineer, Investments Strategy & Capital Management
Boston, Massachusetts, United States
$128k-$225k/yrHybridFull Time
Liberty Mutual: Provides diversified property, casualty, and commercial insurance products.
8+ YOE8+ years experience; strong full‑stack development with Python (5+ yrs), pandas/NumPy, SQL, Git; front-end and UX experience; experience converting AI prototypes to production; finance/investment domain knowledge.
Harvard University: Provides higher education and conducts advanced academic research.
7+ YOESeven+ years of post-secondary education or relevant work experience; Masters/PhD strongly preferred; Python ML stack (PyTorch, NumPy); experience with large medical datasets and LLMs; collaboration with clinicians and researchers; track record of publications.
DraftKingsNASDAQ: DKNG: Provide online sports betting, fantasy sports, and casino gaming.
7+ YOE7+ years in machine learning, quantitative modeling, or algorithmic strategy; experience with automated trading or prediction markets; proficiency in Python (NumPy, Pandas, PyTorch) and performance languages; expertise in market making, liquidity modeling, and risk-aware optimization.
iRobot: Designs and builds autonomous consumer robotic vacuum cleaners.
3+ YOE3+ years developing and executing test methods for electromechanical products; BS in Engineering; Python and data analysis (Pandas, NumPy, Matplotlib); experience with test equipment (LabVIEW, PLC, Raspberry Pi, HALT/thermal/vibration chambers); strong communication and problem solving.
Python, Pandas, NumPy, Matplotlib, PLC, Raspberry Pi, LabVIEW, C#, HALT chambers, thermal chambers, vibration tables, power analyzers, pneumatics, oscilloscopes, multi-meters, AI
MIT Lincoln Laboratory: Building advanced technology prototypes for national security.
5+ YOEPh.D. in EE/CS or Masters +5 years; deep AI/ML research experience; expert Python and deep-learning frameworks (PyTorch, TensorFlow), Huggingface, NumPy/pandas/SciPy; strong software-engineering and leadership skills; ability to obtain Top Secret clearance.
LG Energy Solution Michigan: Manufactures lithium-ion batteries for electric vehicles and energy storage.
5+ YOEMaster's in a quantitative field, 5+ years data science (≥3 years industry), strong Python and production software skills, ML/deep learning expertise, experience with Polars, Pandas, NumPy, scikit-learn, SQL, TensorFlow/PyTorch, cloud platforms, Git, and Jira. Must be authorized to work in the U.S.