Enabling the future of wearable innovation
Enabling the future of wearable innovation
A decade in the making.
Centuries of collective expertise.
Hundreds of millions of hours of biological signal and human story, and still counting.
We lead in PPG.
We lead in ECG.
Built by scientists, engineers, designers, and operators who have shaped digital health from its first heartbeat. From NASA to the NIH, from life sciences to special operations, our team has lived at the edge of what is measurable.
HUMAN DATA HOURS IN SENSR MODEL
We lead in understanding the body’s unseen data.
Together with the world’s boldest companies and visionaries, we design the next generation of wearables, algorithms, and human experiences. We provide the foundation for how health technology evolves, open, collaborative, and deeply human.
Whether it’s optimizing athletic performance, monitoring patient health, or improving workplace wellbeing, Sensr provides the technology backbone for enterprises to create meaningful wearable experiences that last.
Grow with us.
Build with us.
Join what comes next.
Join the team
Product Management and System Design
Design semantically rigorous and biologically informed prompts for large-scale AI models powering genomic inference, molecular design, and ancestral reconstruction. You’ll collaborate with biologists, data scientists, and AI researchers to translate complex scientific questions into structured, high-impact inputs that guide sequence generation, trait association, and regulatory network discovery.
This role demands deep biological literacy and an intuitive grasp of how language models represent and reason about living systems. Your work will directly influence how Sensr’s AI interprets biology—advancing both foundational research and next-generation bioengineering.
Design and orchestrate large-scale, multi-agent AI ecosystems that coordinate complex genomic reasoning across distributed models, data centers, and research environments. You’ll architect infrastructure for shared memory, federated learning, and dynamic role assignment—enabling intelligent agents to collaborate seamlessly across space and time.
Each agent may specialize in genomic prediction, molecular design, or evolutionary synthesis, yet operate as part of a unified cognitive network. Your work will define how Sensr’s AI systems think together—scaling collective intelligence in biology.
Shape the protocols that govern how AI agents collaborate across genomic analysis, molecular design, and evolutionary modeling. You will design and refine the communication logic between specialized models spanning sequence prediction, regulatory mapping, and metabolic simulation to ensure coherence, adaptability, and shared intent.
This role sits at the intersection of coordination and cognition, enabling distributed systems to reason together about living systems. Success requires deep systems intuition and an understanding of how artificial agents learn, infer, and ultimately understand biology.
Coordinate a network of specialized AI agents that collectively analyze, design, and simulate biological systems. You will manage workflows, align objectives, and maintain shared context as tasks evolve. These agents may focus on different data types or biological functions but must collaborate to deliver cohesive outcomes. This is a systems-level role that unites synthetic intelligence across diverse goals, ensuring efficiency, consistency, and emergent insight.
Build and scale the core infrastructure that powers genomic AI research, synthetic design, and biological data exploration. You will develop APIs, data processing engines, model-serving layers, and collaborative tools that allow scientists and AI systems to work seamlessly together. The platform must support large, complex, and highly specialized datasets with speed, security, and resilience. Your engineering will form the backbone of Sensr’s next-generation biointelligence platform, enabling some of the most advanced AI–biology integrations in the world.
AI Research Science
Work with AI-controlled bio-integrated systems—ranging from microfluidic lab automation to bio-inspired actuators—to physically manifest the outcomes of synthetic biology designs. You’ll develop training loops and feedback models that teach embodied agents how to perform complex protocols derived from genetic blueprints. This includes kinetic training, environmental adaptation, and iterative physical learning from biological constraints. The role combines robotics, molecular biology, and AI training systems.
Develop training protocols for robotic systems designed to execute physical workflows in genomics, such as lab automation, sample preparation, or synthetic assembly. These systems may act on AI guidance but require physical calibration to biological constraints. You’ll help robotic platforms learn precision, rhythm, and responsiveness in bio-contexts. This role blends mechanical intelligence with life science tactility.
Data Science Specialization
Create expansive, high-fidelity synthetic datasets for use in training genomic AI systems—ranging from realistic DNA sequences to simulated phenotypic traits. Your pipelines must balance realism with experimental controllability, enabling safe exploration of new hypotheses. You’ll work closely with biologists and ML researchers to define the data the models need. This role shapes the entire knowledge frontier for synthetic biology AI.
Build intelligent pipelines that interconnect fragmented datasets—historic genomic records, expression assays, design logs, and environmental metadata—into structured, context-rich formats for AI consumption. You’ll ensure each data element carries the right temporal, biological, and methodological context to support robust training and inference. Your systems help models make accurate inferences even from incomplete or heterogeneous inputs. This work is critical to preventing model misinterpretation due to data mismatches.
Develop statistical and generative techniques to smooth over noisy, gapped, or uncertain biological data. This includes interpolating degraded genomic sequences, normalizing synthetic readouts, and aligning mismatched annotations across experiments. Your work allows AI models to train on datasets that more closely resemble the true structure of biological reality. Smoothing doesn’t just clean data—it enables pattern recognition in places humans and machines might otherwise fail to look.
Support model training by developing finely curated biological annotations—ranging from genomic features to synthetic construct outcomes. You’ll collaborate with scientists to ensure accuracy in trait labels, expression patterns, and structural motifs. High-resolution, context-aware annotation enables better generalization and reliability in AI-driven predictions. This role is foundational to supervised learning pipelines in both ancient genomics and synthetic applications.
Product Marketing
Craft clear, engaging, and intelligent content that brings Sensr’s science and technology to life. You will translate complex concepts in biology, AI, and digital health into narratives that inspire researchers, clinicians, and strategic partners. Your writing will span web copy, product explainers, thought leadership pieces, and investor communications.
This role requires curiosity, precision, and a strong sense of story — turning technical breakthroughs into accessible ideas that shape how the world understands Sensr.
Design intuitive, elegant interfaces that help people understand and interact with complex biological and AI systems. You will shape the visual and experiential layer of Sensr’s platform — from dashboards that surface health insights to tools that guide researchers through data exploration and model design.
This role blends creativity with clarity, translating dense information into clean, meaningful experiences. You will collaborate with engineers, scientists, and product strategists to define how users see, touch, and trust the future of biointelligence.
We’re looking for a Staff Design Producer to help orchestrate the creation of world-class products at the intersection of hardware, software, and human experience. You will empower Sensr’s design teams to focus on what matters most—crafting innovative, high-quality tools that make health a daily practice.
In this role, you will guide physical and digital product development from concept through launch, ensuring alignment across industrial design, UX, and engineering. You’ll drive proactive communication, remove obstacles, and maintain clarity amid complexity. Your organizational precision and creative empathy will keep teams focused, timelines on track, and experiences exceptional.
We’re seeking a Product Design Lead to shape the future of women’s health through intelligent, beautifully designed tools. You will lead the design of experiences that help women and people with uteri understand the intricate connection between reproductive health and whole-body wellbeing.
Partnering closely with our Engineering, Product, and Science teams, you will design features that translate complex biological signals—across cycles, pregnancy, recovery, sleep, activity, stress, and cardiovascular health—into clear, actionable insights. Your work will empower users to see their health as an integrated system, advancing Sensr’s mission to make precision health accessible, personalized, and empowering.
Join our already great QA team! We’re looking for a Quality Assurance Engineer to help ensure that every Sensr product meets the highest standards of safety, accuracy, and reliability in digital health. You will guide compliance across medical device software development, collaborating with engineering, product, science, clinical, and design teams to ensure our systems are built, tested, and documented to rigorous global standards.
This role demands both technical precision and a commitment to excellence. You will champion quality throughout the product lifecycle, helping transform complex medical and AI systems into trusted tools that improve lives at scale.
