Peke Labs Corp Machine Learning Engineer Remote · Full time Apply for Machine Learning Engineer

Machine Learning Engineer at Peke Labs Corp

Peke Labs Corp Machine Learning Engineer Remote

• Full time Apply for Machine Learning Engineer

We're hiring our first ML Software Engineer to work alongside our cofounder, Thane Hunt, in developing our software stack to help interpret raw data s

About Peke Labs Corp

We're building the next generation of technological controllers using proprietary and patent-protected technology that translates muscle movement into data.

Description

Machine Learning Software Engineer

Location

Remote / Boston

About Us

We are a cutting-edge technology company focused on revolutionizing the way we interpret raw tendonal and muscular data into actionable technological outputs. Our goal is to empower industries and individuals with transformative software that bridges the gap between human motion and machine interaction. We’re a fast-paced, innovative team driven by curiosity, purpose, and a passion for creating real-world impact. We are looking for a super nimble, self-directed Machine Learning Software Engineer to join us in building the future of wearable tech and motion analytics.

About the Role

As an ML Software Engineer, you’ll be responsible for designing and implementing advanced machine learning algorithms to process complex muscular and tendonal data and convert it into outputs. You’ll work at the cutting edge of biomechanics and wearable technology, creating software that empowers our devices to understand and interpret human motion in real time.

What You’ll Do

• Design and implement machine learning models to analyze raw datasets and translate it into actionable technological outputs.
• Collaborate closely with hardware and software engineers to integrate ML solutions into our software stack.
• Continuously optimize and improve the performance of our models, focusing on real-time data processing and reducing latency.
• Develop and test novel algorithms to ensure they meet the evolving needs of our product and industry.
• Take ownership of your projects from concept to deployment, balancing speed and accuracy to ensure timely delivery of working solutions.
• Engage in problem-solving and troubleshooting, keeping the team moving forward despite challenges or roadblocks.
• Contribute to a fast-paced, agile development process where doing is prioritized over perfection.
• Stay up to date on the latest advancements in machine learning, biomechanics, and wearable technology, and continuously innovate.

What We’re Looking For

• Experience in developing machine learning models, with a focus on real-time data processing.
• Solid programming skills in Python, C++, or similar languages commonly used in machine learning environments.
• Proficiency with ML libraries (TensorFlow, PyTorch, etc.) and data manipulation tools (Pandas, NumPy, etc.).
• Experience with sensor data and working with raw data inputs from wearables or similar devices.
• Comfortable working in a self-directed environment with little supervision—your ability to prioritize and execute will set you apart.

A bias towards doing

You’re someone who gets things done, doesn’t wait for perfect conditions, and takes action to solve problems.

• A growth mindset, excited to take on new challenges and innovate in a fast-moving environment.
• Excellent communication skills and a collaborative attitude, even when tackling complex technical problems.

Nice-to-Haves

• Experience with biomechanics, kinesiology, or motion analysis.
• Familiarity with real-time systems and edge computing.
• Knowledge of motion capture technologies, wearable sensors, or gesture

recognition.

• Familiarity with cloud platforms and deploying ML models at scale.

Why Join Us?

• Work at the intersection of biomechanics, AI, and wearable technology—help us shape the future of human-machine interaction.
• Be part of a nimble, collaborative team where every member’s voice is heard, and every contribution matters.
• Opportunities for professional growth and learning in an innovative, fast-paced environment.
• Competitive compensation and equity options in a company and cofounders who prioritize communication and seeing the world outside the box.

Salary

$130,000 - $185,000 per year

Apply for Machine Learning Engineer

Your Privacy Choices Read our Privacy Policy

By clicking “Accept All Cookies”, you agree to the storing of cookies on your device to enhance site navigation, analyze site usage, and assist in our marketing efforts.

Cookies settings Reject all Accept all

Privacy Preference Center

When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. This information might be about you, your preferences, or your device, and is mostly used to make the site work as you expect. The information does not usually identify you directly, but it can give you a more personalized web experience. Because we respect your right to privacy, you can choose not to allow some types of cookies. Click on the different category headings to learn more and change our default settings. Blocking some types of cookies may impact your experience of the site and the services we are able to offer.

Learn more information about your privacy

Allow all

Manage consent preferences

Strictly Necessary Cookies

Always active

These cookies are necessary for the website to function and cannot be switched off in our systems. They are usually only set in response to actions made by you which amount to a request for services, such as setting your privacy preferences, logging in or filling in forms. You can set your browser to block or alert you about these cookies, but some parts of the site will not then work. These cookies do not store any personally identifiable information.

Functional Cookies

Functional Cookies

These cookies enable the website to provide enhanced functionality and personalisation. They may be set by us or by third party providers whose services we have added to our pages. If you do not allow these cookies then some or all of these services may not function properly.

Performance Cookies

Performance Cookies

These cookies allow us to count visits and traffic sources so we can measure and improve the performance of our site. They help us to know which pages are the most and least popular and see how visitors move around the site. All information these cookies collect is aggregated and therefore anonymous. If you do not allow these cookies we will not know when you have visited our site, and will not be able to monitor its performance.

Targeting Cookies

Targeting Cookies

These cookies may be set through our site by our advertising partners. They may be used by those companies to build a profile of your interests and show you relevant adverts on other sites. They do not store directly personal information, but are based on uniquely identifying your browser and internet device. If you do not allow these cookies, you will experience less targeted advertising.

Cookie List

Clear

• checkbox label label

Apply Cancel

Consent Leg.Interest

checkbox label label

checkbox label label

checkbox label label

Reject all Confirm my choices