ML Research Engineer: Experiment-Driven Model Innovation

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

Benefits offered by this job

Equity

Medical benefits

Dental benefits

In-person collaboration

Job summary

Parisi Labs in Boston is seeking a machine learning research engineer to work directly with our Chief Scientist and accelerate core modeling work. You will inherit a real model and evaluation system, design careful experiments, and ship improvements to production-quality code.

This role blends research with practical deployment: reproduce, extend, and improve training pipelines; run ablations; analyze errors; build tooling for reproducibility; and communicate results with clear evidence to guide

Qualifications

• MS/PhD depth in machine learning, CS, statistics, applied math, or related field.
• You can read a paper, implement the important idea, and determine whether it works.
• Strong Python and modern ML framework experience.
• Understand experimental design and statistical reasoning; recognize misleading results.
• Experience with sequence models, probabilistic modeling, forecasting, or learning problems grounded in real systems.
• Improved a real model under practical data, compute, or deployment constraints.
• Write clear research code and communicate technical conclusions without jargon.
• Desire for substantial ownership in a small, fast-moving team.

Responsibilities

• Reproduce, extend, and improve our model-training and evaluation systems.
• Design experiments and ablations that separate meaningful improvements from noise, data problems, and evaluation artifacts.
• Investigate model behavior through error analysis, diagnostics, and carefully constructed benchmarks.
• Build better tooling for experimentation, tracking, reproducibility, and technical decision-making.
• Work with data and product engineers to turn research requirements into dependable systems.
• Translate promising research into production-quality implementations.
• Communicate results clearly: what changed, what the evidence shows, and what we should try next.
• Help establish the research practices and technical standards of an early AI company.

Skills

Python

ML frameworks

Experiment design

Research code

Education

MS/PhD in ML/CS/Statistics

Tools

PyTorch

TensorFlow

Job description

Parisi Labs in Boston is seeking a machine learning research engineer to work directly with our Chief Scientist and accelerate core modeling work. You will inherit a real model and evaluation system, design careful experiments, and ship improvements to production-quality code.

This role blends research with practical deployment: reproduce, extend, and improve training pipelines; run ablations; analyze errors; build tooling for reproducibility; and communicate results with clear evidence to guide