Time since we first saw it
Day 156
Up longer than most. Similar jobs usually come down between day 6 and day 70.
From 4,444 similar postings that came down. Coming down is not always a hire.
Senior ML Research Developer
Berlin; Montreal
Open 5 months, first seen by us 156 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingWork with ML research scientists to speed up training and inference of very large models
Design and implement workflows for research experiments, from toy scenarios to large projects
Develop tools and libraries to optimize use of computing resources
Establish, document and maintain best practices for ML model development workflows
From the employer’s posting
work closely with ML research scientists to solve difficult training and inference problems using very large models
Design and implement workflows for research experiments across toy scenarios and large scale projects.
Develop tools and libraries to optimize the use of computing resources.
Establish, document, and maintain best practices for ML model development workflows.
What you’ll bring
All qualificationsCore experience
- 5+ years of industry experience building complex ML workflows on high performance computing
- Degree in a relevant computer science field, required
- Advanced degree (MSc or higher) in machine learning, or equivalent work experience
- Experience with PyTorch, TensorFlow or JAX
- Track record of contributing to high-quality deep learning research projects
Qualification wording
5+ years of industry experience in designing and implementing complex machine learning workflows on high performance computing devices
A degree in a relevant computer science field (e.g., computer science, computer engineering, software engineering) is required
along with an advanced degree (MSc or higher) in machine learning or equivalent work experience
using PyTorch, TensorFlow, or JAX
A track record of contributing to high-quality research projects in deep learning.
Education & alternatives
Skills and qualifications - A degree in a relevant computer science field (e.g., computer science, computer engineering, software engineering) is required, along with an advanced degree (MSc or higher) in machine learning or equivalent work experience. - 5+ years of industry experience in designing and implementing complex machine learning workflows on high performance computing devices using PyTorch, TensorFlow, or JAX.
About LawZero
We welcome applications from highly qualified individuals interested in working towards our mission in a respectful, inclusive and collaborative setting.
In the employer’s words · Read in context
Posting record
Report an errorOpen 5 monthsWe first saw this posting 156 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 2, 2026156 days ago
- Recorded sightings
- 56
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
LawZero is hiring
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Its jobs tend to stay up a long time
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- AWS
- Azure
- Docker
- GCP
- Kubernetes
- PyTorch
- TensorFlow
Where the posting names them
- Ability to collaborate effectively with cross-functional teams, document best practices, and stay updated with the latest advancements in ML and software development. - Experience with cloud platforms (e.g., AWS, GCP, Azure). - Familiarity with containerization tools (e.g., Docker, Kubernetes).
- Experience with cloud platforms (e.g., AWS, GCP, Azure). - Familiarity with containerization tools (e.g., Docker, Kubernetes). - Familiarity with data infrastructures and platforms (e.g., vector databases).
- A degree in a relevant computer science field (e.g., computer science, computer engineering, software engineering) is required, along with an advanced degree (MSc or higher) in machine learning or equivalent work experience. - 5+ years of industry experience in designing and implementing complex machine learning workflows on high performance computing devices using PyTorch, TensorFlow, or JAX. - Ability to collaborate effectively with cross-functional teams, document best practices, and stay updated with the latest advancements in ML and software development.
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
We are seeking a senior machine learning (ML) research developer to join our team working on a novel AI safety agenda. In this role, you will work closely with ML research scientists to solve difficult training and inference problems using very large models.
Key responsibilities
- Collaborate with researchers to accelerate research, model training and inference, and facilitate the efficient implementation of novel models and simulated environments.
- Design and implement workflows for research experiments across toy scenarios and large scale projects.
- Develop tools and libraries to optimize the use of computing resources.
- Establish, document, and maintain best practices for ML model development workflows.
Skills and qualifications
- A degree in a relevant computer science field (e.g., computer science, computer engineering, software engineering) is required, along with an advanced degree (MSc or higher) in machine learning or equivalent work experience.
- 5+ years of industry experience in designing and implementing complex machine learning workflows on high performance computing devices using PyTorch, TensorFlow, or JAX.
- Ability to collaborate effectively with cross-functional teams, document best practices, and stay updated with the latest advancements in ML and software development.
- Experience with cloud platforms (e.g., AWS, GCP, Azure).
- Familiarity with containerization tools (e.g., Docker, Kubernetes).
- Familiarity with data infrastructures and platforms (e.g., vector databases).
- A track record of contributing to high-quality research projects in deep learning.
About LawZero
LawZero is a non-profit organization committed to advancing research and creating technical solutions that enable safe-by-design AI systems. Its scientific direction is based on new research and methods proposed by Professor Yoshua Bengio, the most cited AI researcher in the world. Based in Montreal, LawZero’s research aims to build non-agentic AI that learns primarily to understand the world rather than to act in it, giving truthful answers to questions based on transparent and externalized probabilistic reasoning. Such AI systems could be used to accelerate scientific discovery, to provide oversight for agentic AI systems, and to advance the understanding of AI risks and how to avoid them. LawZero believes that AI should be cultivated as a global public good—developed and used safely towards human flourishing. For more information, visit www.lawzero.org
You belong here
At LawZero, diversity is important to us. We value a work environment that is fair, open and respectful of differences. We welcome applications from highly qualified individuals interested in working towards our mission in a respectful, inclusive and collaborative setting.
Your personal information will be collected and processed by LawZero to evaluate your application for employment in compliance with our Privacy Policy. Under privacy laws in force in your country of residence, you may have several privacy rights, such as to request access to your personal information or to request that your personal information be rectified or erased. Details on how you can exercise your rights can be found in our Privacy Policy.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Berlin; Montreal
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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