Scientific ML Engineer: Behavioral Neuroscience Vision

JAX; Bar Harbor (ME); On-site; USD 86,000 - 144,000; Full time

Job summary

The Kumar Lab at JAX seeks a Scientific Software Engineer to advance machine learning and computer vision for digital behavioral measures. You will design, train, and deploy models, improve existing algorithms, and apply robust MLOps practices while mentoring teammates and contributing to publications.

A strong ML background and ability to communicate with biologists are essential. You will work with Python, PyTorch, and a suite of tools (ffmpeg, C++, Cython, SQL, Bash, Kubernetes) in a

Qualifications

• Master's degree in computer science, ML, or related field preferred; BS/BA with equivalent hands-on experience accepted.
• About 3 years of hands-on ML experience with ability to judge method applicability and explain performance.
• Production ML pipelines experience, model versioning, and edge inference capabilities.

Responsibilities

• Design, train, and deploy computer vision and ML models and the pipelines around them, from aims through production.
• Write readable, maintainable code; contribute to publications and open-source releases.
• Collaborate with lab members, review code, and mentor trainees while pursuing technical growth.

Skills

Depth in machine learning

LLM-based coding assistants

Production machine learning

Python

PyTorch

ffmpeg

C++

Cython

SQLite

PostgreSQL

SLURM

Bash

Kubernetes

Go

Cloud platforms (GCP/AWS)

Education

Master's degree in CS/ML preferred

BS/BA with equivalent hands-on experience

Tools

PyTorch

ffmpeg

C++

Cython

SQLite

PostgreSQL

SLURM

Bash

Kubernetes

Go

GCP / AWS

Job description

The Kumar Lab at JAX seeks a Scientific Software Engineer to advance machine learning and computer vision for digital behavioral measures. You will design, train, and deploy models, improve existing algorithms, and apply robust MLOps practices while mentoring teammates and contributing to publications.

A strong ML background and ability to communicate with biologists are essential. You will work with Python, PyTorch, and a suite of tools (ffmpeg, C++, Cython, SQL, Bash, Kubernetes) in a