Senior ML Research Scientist - Time-Series & World Models

Parisi Labs; Boston (MA); Hybrid; USD 210,000 - 275,000; Full time

Benefits offered by this job

Equity

Hybrid work

Job summary

Parisi Labs in Boston is seeking a researcher to develop, implement, and test core world and time-series models in collaboration with the co-founder and Chief Scientist. You will own independent research directions, design rigorous experiments, and contribute to production-ready systems to impact real-world energy and industrial decisions.

We value deep expertise in time-series modeling, world modeling, and optimization, plus strong coding and engineering skills.

Qualifications

• 5+ years of combined post-graduate and industry experience in ML research.
• Proven research contributions that advance the state of the art or deliver business impact.
• Strong coding and engineering skills to build in addition to invent.

Responsibilities

• Collaborate with the Chief Scientist to develop proprietary, state-of-the-art advances in time-series foundation models and world models.
• Train and test models on difficult, valuable, real-world forecasting tasks.
• Own independent research directions from hypothesis through implementation, experiments, ablations, and clear technical conclusions.
• Investigate multimodal inputs and event data, alongside methods for representing physical constraints and interactions.
• Work with engineers to productionize and ship successful research into systems that support real decisions.
• Extend advances beyond energy into domains such as supply chain, logistics, water, oil and gas, manufacturing, and predictive maintenance.
• Maintain reproducible experiments and communicate findings with the rigor needed to distinguish genuine progress from misleading results.

Skills

Time-series models

World modeling

Simulation

Dynamical systems

Optimization

Coding

Engineering

Creative problem solving

Job description

Parisi Labs in Boston is seeking a researcher to develop, implement, and test core world and time-series models in collaboration with the co-founder and Chief Scientist. You will own independent research directions, design rigorous experiments, and contribute to production-ready systems to impact real-world energy and industrial decisions.

We value deep expertise in time-series modeling, world modeling, and optimization, plus strong coding and engineering skills.