Machine Learning

Cambridge, MA, United States

Open 4 months, first seen by us 125 days ago

Pay: Pay not listedSimilar roles state $166K–$240K
Work setting: On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment: Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

Before you apply

Work authorization: Must already have the right to work in the US- Must be authorized to work in the United States

What you’ll work on

Full posting

Remove muscle artifacts from brain activity signals
Advance the company's brain-activity identification methods and intellectual property
Prototype real features quickly in a startup environment

From the employer’s posting

the elimination of muscle artifacts

We would like to advance our current methods of identifying brain activity

Ability to rapidly prototype real features in a startup environment

What you’ll bring

All qualifications

Core experience

Fluency in machine and deep learning, especially neural networks
Familiarity with Python, C/C++, or Matlab
Strong understanding of data structures, algorithms, and design patterns
Good written communication and documentation skills
Authorized to work in the United States

Qualification wording

Fluency in various machine and deep learning applications/design especially regarding neural networks

Familiarity with general purpose programming languages including but not limited to: Python, C/C++, Matlab

Strong understanding of data structures, algorithms, and design patterns

Good written communication and documentation abilities

Must be authorized to work in the United States

Education & alternatives

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the University of Michigan's Direct to Brain Interface Laboratory (UM-DBI); our technology, an artificial intelligence developed by our CEO Ramses Alcaide, BCI expert and PhD neuroscience, enables people to control hardware and software in real-time with their brain via a non-invasive cap. We have enabled users to control remote control cars, computer programs, wheelchairs, and more. Currently we are directing Neurable for virtual and augmented reality applications.

Apply at Neurable

Posting record

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Open 4 monthsWe first saw this posting 125 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: Jul 3, 2026125 days ago
Recorded sightings: 42
Last seen by us: Nov 5, 2026
Employer says posted: Aug 31, 2016

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$166K–$240K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,279 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 125

Up longer than most. Similar jobs usually come down between day 6 and day 70.

From 4,481 similar postings that came down. Coming down is not always a hire.

Neurable is hiring

1 open job

No new data jobs since July

Hiring record

See how this role fits your experience

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MATLAB
Python

Where the posting names them

Qualifications - Fluency in various machine and deep learning applications/design especially regarding neural networks (Markov chains/fields, generic algorithms, PCAs, ICAs, and ensemble methods are greatly appreciated and respected) - Familiarity with general purpose programming languages including but not limited to: Python, C/C++, Matlab - Strong understanding of data structures, algorithms, and design patterns - Good written communication and documentation abilities - Comfortable in a small, intense, and high-growth environment - Ability to rapidly prototype real features in a startup environment - You know and can admit when something is not great. You can recognize that something you did needs improvement - we're not all perfect - You can respectfully tell someone else something they did is not great, because they are not perfect - Creativity and desire to push boundaries - Desire to create a positive change in the world - Experience with Computer Vision, Signals Processing preferred - Must be authorized to work in the United States Additional Information

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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.

August 17Last week

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

View original posting ↗

Job Description

We are currently looking for a Machine Learning Scientist/Researcher to join our team.

We would like to advance our current methods of identifying brain activity, using novel machine learning algorithms to increase reliability and accuracy. You will be working alongside our team of developers, but mostly with our CEO, advancing our intellectual property. We are looking for someone who is able to, not only implement, but also, create machine learning algorithms, specifically ones that improve speed, accuracy, and the elimination of muscle artifacts. Experience working with real-time data, large datasets, brain-computer Interface, and/or EEG data is preferred.

Our ideal candidate is the type of person who constantly wants to push the boundary of what is (im)possible. We are working in a field and creating a technology with functionalities that have never existed before. At Neurable we embrace failure and respect persistence. If you like tinkering, are curious by nature, consider yourself a technologist or someone who thinks several steps ahead…we would like you to join us, or at least meet us, or come to our office and play some video games (we have all the latest VR/AR technology). We are a small group adding to the banality of "work hard, play hard" but only because it is true.

Company aside, we thoroughly enjoy:
- Fine food and beverages
- Movies and shows (during Game of Thrones season, our CEO Ramses, also a near chef, cooks everyone dinner while we watch on his 12’ by 12’ projector screen)
- Video games (we own every console from the ColecoVision, 1982, to the latest in virtual reality systems)
- Adventures (ask us about what happened one fateful night on Mt. Nacheesmo)
- Dogs (we have two in our office)

Qualifications

- Fluency in various machine and deep learning applications/design especially regarding neural networks (Markov chains/fields, generic algorithms, PCAs, ICAs, and ensemble methods are greatly appreciated and respected)
- Familiarity with general purpose programming languages including but not limited to: Python, C/C++, Matlab
- Strong understanding of data structures, algorithms, and design patterns
- Good written communication and documentation abilities
- Comfortable in a small, intense, and high-growth environment
- Ability to rapidly prototype real features in a startup environment
- You know and can admit when something is not great. You can recognize that something you did needs improvement - we're not all perfect
- You can respectfully tell someone else something they did is not great, because they are not perfect
- Creativity and desire to push boundaries
- Desire to create a positive change in the world
- Experience with Computer Vision, Signals Processing preferred
- Must be authorized to work in the United States

Additional Information

All your information will be kept confidential according to EEO guidelines.

Company Description

Neurable is a funded brain-computer interface (BCI) startup spun out of the University of Michigan's Direct to Brain Interface Laboratory (UM-DBI); our technology, an artificial intelligence developed by our CEO Ramses Alcaide, BCI expert and PhD neuroscience, enables people to control hardware and software in real-time with their brain via a non-invasive cap. We have enabled users to control remote control cars, computer programs, wheelchairs, and more. Currently we are directing Neurable for virtual and augmented reality applications.

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