Machine Learning Engineer (REMOTE)
Company: Pekelabs
Location: Boston
Posted on: March 20, 2025
Job Description:
Peke Labs Corp Machine Learning Engineer Remote -Full time Apply
for Machine Learning EngineerWe're hiring our first ML Software
Engineer to work alongside our cofounder, Thane Hunt, in developing
our software stack to help interpret raw data.DescriptionMachine
Learning Software EngineerAbout 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.
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Keywords: Pekelabs, Boston , Machine Learning Engineer (REMOTE), Engineering , Boston, Massachusetts
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