Our Job Openings
Director of AI/ML - Bayesian Health
In Brief
- We’re an early-stage startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives.
- Lead Bayesian Health’s AI/ML organization with a hands-on, scrappy approach: setting technical vision, rolling up your sleeves on critical modeling work, and building a world-class team that ships breakthrough ML products saving lives in hospitals nationwide.
Who We Are
Bayesian Health’s mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We’re a diverse team of clinicians, engineers, machine learning experts, product designers, and performance improvement leaders committed to enabling smarter, patient-specific care delivery through unlocking the power of data.
We’re funded by top tier tech and biotech investors: Andreessen Horowitz, American Medical Association’s venture arm, Catalio Partners, and LifeForce Capital. Our company has won many awards; most recent recognitions include: Forbes AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, BioTech AI Company of the Year. Read more about our recent publication in Nature Medicine that associates our products with lives saved.
What You’ll Do
As Director of AI/ML, you’ll set the technical vision and strategy for Bayesian Health’s machine learning organization while building and leading a high-performing team of data scientists and ML engineers. You’ll partner deeply with Engineering to architect scalable data warehousing and ML infrastructure that enables rapid model development and reliable production deployment. At our stage, you’ll also roll up your sleeves on critical IC work: prototyping models, evaluating system performance, and debugging production issues. This role requires thriving in scrappy, early-stage environments where you’re building the plane while flying it, translating clinical needs into technical roadmaps, and getting your hands dirty to ship breakthrough healthcare products.
Responsibilities
- Team Leadership: Build, mentor, and scale a world-class AI/ML team, establishing technical standards, career development frameworks, and a culture of excellence and ownership.
- Technical Vision & Infrastructure: Define and execute the ML roadmap while partnering closely with Engineering to architect data warehousing solutions, ML infrastructure, and data pipelines that enable the team to rapidly prototype and deploy models at scale.
- Hands-On Modeling & Evaluation: Contribute directly to critical modeling, evaluation, and analysis work, from studies to model performance experiments, ensuring the team ships high-quality ML systems that deliver measurable clinical impact.
- Cross-Functional Partnership: Collaborate with Engineering, Product, and Clinical to translate complex clinical workflows into ML opportunities, and communicate model performance and impact to technical and non-technical stakeholders including customers and investors.
Minimum Qualifications
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Experience leading ML organizations through 0-1 product development in healthcare or clinical settings, thriving in environments with limited tooling and infrastructure.
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Hands-on experience with clinical data standards (HL7, FHIR, EHR) and healthcare ML challenges including data quality, time-series forecasting, and anomaly detection.
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Strong technical background in data platform architecture, including modern data warehousing solutions (Snowflake, Databricks, Redshift), streaming data systems, and ML infrastructure tools.
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Track record of publishing research, speaking at conferences, or contributing to the broader ML community while delivering business results.
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You bring passion and enthusiasm to your work, and are excited to join a growing team to Get Stuff Done and save lives!
Bayesian Health provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Staff Machine Learning Engineer - Bayesian Health
In Brief
- We’re an early-stage startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives.
- Part Data Scientist (building models), part Applied Scientist (productionizing models), and part MLE (deploying, maintaining), also known as “Full Stack Data Scientist” – someone who wants to own the end-to-end effectiveness of their real-time models in a live, clinical AI product.
Who We Are
Bayesian Health’s mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We’re a diverse team of clinicians, engineers, machine learning experts, product designers, and performance improvement leaders committed to enabling smarter, patient-specific care delivery through unlocking the power of data.
We’re funded by top tier tech and biotech investors: Andreessen Horowitz, American Medical Association’s venture arm, Catalio Partners, and LifeForce Capital. Our company has won many awards; most recent recognitions include: Forbes AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, BioTech AI Company of the Year.
What You’ll Do
As a Staff Machine Learning Engineer, you are not satisfied with training and tuning ML models that predict clinical conditions in patients; you also want to own the effectiveness of your model in the real world. In practice, that means you aren’t afraid to get your hands dirty by writing data mapping code, debugging a specific patient case by following patient data as it moves through our AWS services, or improving the timeliness of your model’s predictions by reading and writing production-grade Python and SQL code.
Responsibilities
- Model Prototyping: Develop and tune innovative, new ML models and labeler systems based on deep understanding of clinical use cases and state-of-the-art ML methods.
- Productionizing: The same models that you develop with production-grade python.
- Deploying: Identify strategies for improving our production ML-based systems, and write, debug, and deploying production-grade Python code to implement those strategies.
- MLOps: Build infrastructure that enables ML model development and deployment in production systems.
Minimum Qualifications
- Ph.D. in a relevant field plus 3+ years relevant experience, or a relevant Master’s degree and 5+ years experience shipping ML based software products.
- Experience owning your ML models from prototyping to production.
- Experience writing production-grade Python and SQL code to implement and evaluate ML models in production systems.
- Experience using MLOps tools such as SageMaker and MLFlow.
Preferred Qualifications
- Experience going 0-1 and shipping high impact AI/ML products.
- Experience building solutions within healthcare and/or familiarity working with messy health data.
- Experience working with enterprise customers, and the agility and responsiveness they require.
- Comfortable interpreting / leveraging state-of-the-art peer-reviewed methods or tools in designing your approach.
- Excitement for Bayesian’s mission and being a bar raiser so we can accelerate the pace at which we create value.
Bayesian Health provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Senior Firmware Engineer - Gridware
About Gridware
Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io.
Role Description
Our goal is to stop grid-ignited wildfires. To do that, our devices need to run robust, well-tested, and power efficient firmware. We are looking for you to help us develop that firmware. You will solve challenges related to power consumption, communications, and signal processing, enabling our devices to detect increasingly subtle faults in increasingly remote regions.
Responsibilities
- Develop C/C++ firmware for our microcontroller platform
- Implement drivers for microcontroller peripherals and external sensors
- Work with our backend codebase to develop and test device communications
- Maintain and extend our build system to support various embedded hardware platforms
- Develop efficient data processing and collection algorithms in a resource-constrained environment
- Develop unit tests, write and execute test plans
Required Skills
- Strong C and/or C++ knowledge
- Python or another scripting language
- Comfortable using Git
- Comfortable in a Linux development environment
- Comfortable working across multiple domains (hardware, firmware, software)
- 3+ years embedded software engineering experience (Embedded Linux, RTOS’s, bare metal, etc)
- Experience developing and debugging hardware
Bonus Skills
- Strong understanding of operating system and real-time operating system concepts
- Assembly language (extra bonus points for ARM)
- Basic web programming knowledge (backend)
- Comfortable debugging with an oscilloscope and/or logic analyzer
- Professional experience deploying firmware
- Experience with LoRa, SigFox, or other Low Power Wide Area Networks (LPWANS)
- Experience with digital signal processing (DSP)
- Previous experience in rapidly scaling startups
- Previous experience working with CMs/ODMs on medium to high-volume products
Benefits
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Health, Dental & Vision (Gold and Platinum with some providers plans fully covered)
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Paid parental leave
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Alternating day off (every other Monday)
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“Off the Grid”, a two week per year paid break for all employees.
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Commuter allowance
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Company-paid training
Senior Firmware Engineer, Wireless Communications - Gridware
About Gridware
Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io.
Role Description
We’re looking for a Senior Firmware Engineer with deep expertise in wireless communications to help shape the future of Gridware’s connected devices. In this role, you’ll design and optimize firmware that powers resilient, low-power networks—leveraging peer-to-peer, mesh (802.15.4, Zigbee, Thread), Matter, and emerging NTN protocols. Your work will expand device connectivity while reducing dependency on costly gateways, directly impacting performance, reliability, and uptime across a rapidly scaling fleet.
What You’ll Do
- Design and implement firmware for next-gen wireless communication protocols.
- Build and customize mesh networking solutions to extend device coverage and resilience.
- Optimize communication stacks for maximum efficiency under real-world constraints.
- Prototype, test, and iterate quickly with hardware in the loop.
- Partner with hardware and systems teams on protocol design and integration.
- Debug, validate, and tune performance across diverse environments.
What We’re Looking For
- 5+ years of professional experience in embedded/firmware development.
- Proven expertise with wireless communication protocols.
- Direct, hands-on experience with mesh networking (e.g., 802.15.4, Zigbee, Thread, or similar).
- Strong foundation in low-power system design.
- Experience prototyping and testing with hardware.
- Excellent debugging and optimization skills at the firmware/protocol layer.
Bonus Points
- Experience scaling firmware across large, distributed IoT networks.
- Familiarity with Matter, Thread, or similar IoT ecosystems.
- Knowledge of NTN or long-range, low-power communication systems.
- Background customizing and optimizing communication stacks for efficiency.
- Understanding of physical layer trade-offs (bandwidth, latency, power).
Benefits
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Health, Dental & Vision (Gold and Platinum with some providers plans fully covered)
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Paid parental leave
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Alternating day off (every other Monday)
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“Off the Grid”, a two week per year paid break for all employees.
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Commuter allowance
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Company-paid training
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