Senior ML Research Scientist - Time-Series & World Models

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

Benefits offered by this job

Equity

Job summary

Parisi Labs, Inc. in Boston/Cambridge is seeking a research-focused ML scientist to help build foundation-scale models for physical industry. You will work directly with the co-founder to innovate, implement, and test core models with real-world impact.

The role blends theoretical research with practical engineering, owning independent directions from hypothesis to evaluation and translating findings into systems that support critical decisions in energy, supply chains, and manufacturing.

Qualifications

• 5+ years of combined post-graduate and industry experience in ML research.
• Demonstrated contributions to research or business impact.
• Deep expertise in time-series foundation models, world modeling, simulation, dynamical systems, and optimization.
• Creative problem-solving abilities and high adaptability.
• Strong coding and engineering skills: build as well as invent.
• Relevant industry experience (energy, supply chain, or manufacturing) is a plus.

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 rigor to distinguish progress from misleading results.

Skills

Time-series foundation models

World modeling

Dynamical systems

Optimization

Strong coding

Research innovation

Education

PhD-level depth of knowledge

Job description

Parisi Labs, Inc. in Boston/Cambridge is seeking a research-focused ML scientist to help build foundation-scale models for physical industry. You will work directly with the co-founder to innovate, implement, and test core models with real-world impact.

The role blends theoretical research with practical engineering, owning independent directions from hypothesis to evaluation and translating findings into systems that support critical decisions in energy, supply chains, and manufacturing.