Software Engineer, Machine Learning

Note: Applications must include a cover letter explaining your interest in and fit for Fullpower-AI as page 1 of your resume. LinkedIn only allows a single resume attachment, so this file must contain a combined cover letter resume. This is because an actual human will read your application, and so we need to filter for people who have a specific interest in our company.

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

Leadership qualities:

• Self starter
• 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.