ZipRecruiter

Log In

2

Remote Brain Computer Interface Jobs in Boston, MA

Motional

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$124K - $149K/yr

As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain ... What We're Looking For (Must-Haves): * BS or MS in Computer Science, Machine Learning, or a related ...

Owl Labs

Senior Linux Device Programmer

Boston, MA · On-site +1

$170K - $185K/yr

Bachelor's degree in Computer Science, Computer Engineering, or related field * 5+ years of ... Knowledge of Android HIDL/AIDL interfaces, build system, etc * Experience with USB 2.x/3.x, as well ...

System One

ELECTRICAL ENGINEER IV

Tewksbury, MA · Remote

$97.33 - $115/hr

Hybrid or Remote Hours: 40.0 Responsibilities * Assist with new design and development for various ... Bachelor's degree in Electrical Engineering, Computer Engineering, or related technical field.

System One

ELECTRICAL ENGINEER IV

Tewksbury, MA · Remote

$97.33 - $115/hr

Hybrid or Remote Hours: 40.0 Responsibilities * Assist with new design and development for various ... Bachelor's degree in Electrical Engineering, Computer Engineering, or related technical field.

Motional

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$144K - $192K/yr

As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain ... MS/PhD in Computer Science, Machine Learning, or related field. * Experience with agentic systems ...

Motional

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$144K - $192K/yr

As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain ... MS/PhD in Computer Science, Machine Learning, or related field. * Experience with agentic systems ...

previous pagenext page

Showing results 21-40

All JobsBrain Computer Interface JobsRemote Brain Computer Interface JobsRemote Brain Computer Interface Jobs in Boston, MA

Remote Brain Computer Interface information

See Boston, MA salary details

$11.9K

$134K

$188.5K

How much do remote brain computer interface jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote brain computer interface in Boston, MA is $134,034.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $178,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote brain computer interface engineer?

To thrive as a Remote Brain Computer Interface Engineer, you need expertise in neuroscience, signal processing, software development, and ideally an advanced degree in biomedical engineering, computer science, or a related field. Familiarity with programming languages (such as Python or MATLAB), BCI platforms (like OpenBCI), and experience with EEG/EMG systems are typically required. Strong problem-solving skills, attention to detail, and effective remote communication abilities set candidates apart. These skills ensure the development and maintenance of robust BCI systems, successful remote collaboration, and the advancement of innovative neurotechnology solutions.

What is a remote brain computer interface?

Remote Brain Computer Interface (BCI) jobs involve designing, developing, testing, or supporting technologies that enable direct communication between the brain and external devices, all while working from a remote location. These roles can include research scientists, software engineers, data analysts, or user interface designers specializing in BCI applications. Professionals in this field collaborate virtually to advance neurotechnology, contribute to assistive devices, or improve human-computer interaction. Remote BCI jobs often require expertise in neuroscience, computer science, machine learning, and signal processing.

What are some common challenges faced by professionals working in remote brain computer interface roles?

Professionals in remote BCI positions often encounter challenges such as maintaining effective collaboration with cross-disciplinary teams, managing sensitive data securely, and troubleshooting specialized hardware or software remotely. Since BCI projects typically involve neuroscientists, engineers, and software developers, clear communication and regular virtual meetings are essential for synchronizing progress. Additionally, remote work can make testing and debugging BCI devices more complex, requiring creative solutions and sometimes coordination with onsite staff or labs.
What are the most commonly searched types of Brain Computer Interface jobs in Boston, MA? The most popular types of Brain Computer Interface jobs in Boston, MA are:
What are popular job titles related to Remote Brain Computer Interface jobs in Boston, MA? For Remote Brain Computer Interface jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Remote Brain Computer Interface jobs in Boston, MA look for? The top searched job categories for Remote Brain Computer Interface jobs in Boston, MA are:
What cities near Boston, MA are hiring for Remote Brain Computer Interface jobs? Cities near Boston, MA with the most Remote Brain Computer Interface job openings:
Remote Brain Computer Interface jobs near you
Infographic showing various Remote Brain Computer Interface job openings in Boston, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $134,034 per year, or $64.4 per hour.

Machine Learning Engineer, Data Mining

Motional

Boston, MA • On-site, Remote

$124K - $149K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Mission Summary:
At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.
As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain" of this engine. You will work with state-of-the-art foundation models to extract insights from Motional's driving data, working at the intersection of large-scale representation learning and data retrieval. By building smarter mining tools and efficient data pipelines, you will accelerate the model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.

What You'll Do:

  • Build and Train ML Pipelines: Develop, train, and fine-tune machine learning models for multimodal sensor data (e.g., vision, LiDAR). Focus on implementing supervised and self-supervised learning approaches to improve data search and retrieval.
  • Support Model Deployment: Implement scalable data preprocessing and augmentation pipelines. Assist in applying standard optimization techniques (e.g., batch inference, quantization) to ensure models run efficiently in production environments.
  • Data Mining & Analysis: Help develop embedding-based search tools and "active learning" workflows to identify critical driving scenarios.
  • Monitor Production Performance: Help build and maintain dashboards to monitor model health, data drift, and system performance. Identify regressions and assist in the operational support of our data mining services.
  • Learn and Apply Best Practices: Follow software engineering standards (version control, CI/CD, unit testing) for ML code. Participate in code reviews and contribute to technical documentation.
  • Collaborate Across Teams: Work closely with senior engineers and machine learning engineers to translate model prototypes into maintainable, scalable engineering solutions.

What We're Looking For (Must-Haves):

  • BS or MS in Computer Science, Machine Learning, or a related field.
  • Hands-on experience with PyTorch (preferred) or TensorFlow/JAX. You should be comfortable training models and evaluating them using standard metrics.
  • Strong proficiency in Python with the ability to write clean, modular, and well-documented code.
  • Working knowledge of version control, unit testing, and basic software design patterns.
  • Experience working with large datasets, including proficiency in SQL and data libraries like Pandas and NumPy.
  • A solid grasp of the full ML lifecycle, from data cleaning and feature engineering to validation and deployment basics.
  • A proactive learner who thrives on constructive feedback and is eager to grow within a high-stakes engineering environment.

Bonus Points (Nice-to-Haves):

  • MS/PhD in Computer Science, Machine Learning, or related field.
  • Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
  • Background in autonomous driving, robotics, or real-time decision-making systems.
  • Familiarity with multimodal learning, sensor fusion, or embodied AI.
  • Experience building active learning loops, using the model to find the data that breaks the model.
  • Experience with ML-based data mining, active learning, or contrastive learning.
  • Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
  • Publication in top-tier conferences (e.g., ICCV, CVPR, ECCV)

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Apply