Software Engineer, Machine Learning

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Company:

Fullpower®-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless biosensing together with end-to-end engineering services, and customization of software in the field of life sciences, health, and biotechnology. Fullpower's platform is vetted and deployed as a PaaS, backed by a patent portfolio of 125+ patents. Fullpower's key areas of expertise include contactless biosensing, remote monitoring, non-invasive sleep technology, and the development of new technologies for others in the life sciences and biotechnology fields.

Fullpower's B2B PaaS customers are in medical solutions, remote-contactless biosensing, bedding solutions, wearable, and wellness services.

Your Role:

Fullpower is seeking a passionate, team-oriented, and self-motivated Software Engineer with a Machine Learning focus interested in working on our next generation of products and algorithms.

Key projects include:

• Building grounded, live-data-connected generative AI products that can take real-world actions
• Modeling rich, biomedical sensor data with a view toward medical, health, and fitness outcomes

You’ll have high impact with real-world deployment to hundreds of thousands of users and opportunities to collaborate with clinicians and partners and to publish peer-reviewed studies.

The ideal candidate will have a strong background in software engineering and machine learning and a proven track record of deploying models and algorithms for real-world applications.

Job Responsibilities:

• Work with health data and time-series sensor data
• Develop, evaluate, test, and deploy ML models from concept to production
• Build Generative AI products connected to live data and taking real-world actions
• Build ingestion pipelines for RAG and related databases
• Orchestrate Generative AI agents to optimize performance of Generative AI products
• Maintain and improve ML models and software that supports these models
• Process, clean, and combine different data sources to create new datasets
• Connect biomedical sensor data with medical, health, and fitness outcomes, including non-invasive sleep tracking
• Optimize algorithms for running on embedded devices and in the cloud
• Collaborate with an interdisciplinary team of scientists, engineers, mathematicians, clinicians for quick deployment of solutions

Software skills:

• Expertise in Python and packages such as numpy, pandas, scikit-learn
• Experience with a deep learning framework such as Tensorflow, PyTorch, or equivalent
• Experience with LLM frameworks and vector databases
• Experience working with databases including familiarity with SQL
• Experience with Amazon Web Services (AWS) or Google Cloud is a plus
• Experience with C++ is a plus
• Strong interpersonal and communication skills

Education and Experience:

• Experience with software development best practices
• Experience applying machine learning models to real-world problems
• Bachelor’s degree or higher in Computer Science or equivalent
• Graduate degree and/or 5+ years experience a plus
• Open to hiring at Senior level for candidates with strong track record of leading ML systems in production

Additional information:

• Fullpower does not sponsor work visas — must already be authorized to work in the United States
• The base salary range for this full-time position is $130,000 to $180,000 plus equity, plus benefits. Fullpower’s salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job‑related skills, experience, and relevant education and training.

Not Applicable

Full-time

• Engineering, Research, and Information Technology

• Biotechnology Research, Engineering Services, and Software Development

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