--- title: 'Founding Machine Learning Engineer at Orbit Neuro Co.' canonical: 'https://feeny.ai/job/founding-machine-learning-engineer-orbit-neuro-co-san-francisco-75vy95xjx2mw' type: 'job' last_seen: '2026-09-09' --- # Founding Machine Learning Engineer at Orbit Neuro Co. - **Company:** Orbit Neuro Co. - **Location:** San Francisco, CA - **Compensation:** $225k–$275k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2025-08-13 - **Last confirmed live:** 2026-09-09 - **Apply:** https://jobs.ashbyhq.com/orbit/cb53c46f-9cec-411c-abcc-0ba2c555edee ## Job description ## ABOUT THE COMPANY We’re a team of engineers, neuroscientists, and designers solving the most difficult and meaningful challenge: understanding the human brain. Our translational brain computer interface and pioneering models decode emotion, putting experience and wellbeing at the center of every interaction. Our wearable BCI achieves fMRI-comparable resolution untethered to the lab. It’s this advancement that enables us to build foundation models of emotion. We’re looking for people to help us build and scale. If you want to work on deep technology with real impact, and help define the future of brain-computer interfaces and AI, join us. We’re backed by the founders and execs of the leading companies in AI, neurotech, consumer hardware and pharmaceuticals - including Google, Hugging Face, Apple, Stability, Microsoft and Dropbox. We’re venture funded. ## ABOUT THE TEAM WE ARE BUILDING We’re building a generational founding team which is truly full-stack - from neural sensors to complex models. If you want to work on deep technological problems and help pioneer the future of NeuroAI, this is the place for you. Projects have opportunities for a high degree of autonomy and demand intense, fast-paced learning. ## YOU WILL: - Critically evaluate and implement the best machine learning approaches for our unique design problems in neural data - Work with real-time, multi-dimensional, multimodal datasets - Collaborate closely with neuroscience, hardware, and software teams to co-design end-to-end systems - Explore new model architectures and perform detailed experimentation and analysis - Learn neuroimaging and neuroscience context (we will support you in getting up to speed) ## YOU HAVE: - An BS or higher in Computer Science, Electrical Engineering, Applied Mathematics, or a related STEM field (exceptional self-taught researchers also considered) - 3+ years of applied ML research or development experience, or equivalent depth through publications, projects, or startup work - Strong Python programming skills with experience in PyTorch, TensorFlow, or JAX - Built and iterated quickly on ML models and pipelines - Experience with data preprocessing, labeling, and exploratory analysis - Agility working with multimodal data (e.g., imaging + time series, text + audio) - Proven ability to thrive in small, fast-moving teams ## YOU MIGHT ALSO HAVE: - Publications in top ML or domain-specific journals/conferences - Experience with biomedical, neuroimaging, or other high-dimensional sensor data - A background in signal processing for time-series or imaging data - Experience with distributed or large-scale training (e.g., mixed precision, very large datasets) - Knowledge of semi-supervised or self-supervised approaches - Excitement to learn neuroimaging and neuroscience context ## About Orbit Neuro Co. ## Company Overview - **One-liner**: Orbit Neuro builds a non-invasive brain-computer interface (BCI) that decodes emotions to make mental health as transparent and actionable as physical health. - **Entity Type**: Private (venture-backed; pre-seed/seed stage) - **Headquarters**: San Francisco, California, United States - **Founded**: 2024 - **Founders**: Akshat Sharma (CEO) and Dipanshu Gandhi (Co-Founder & CTO) ## Core Business - **Industry**: Neurotechnology / Mental Health / Healthcare IT - **Target Customers**: B2C (individuals seeking mental wellness) and B2B (clinics, outpatient services, employers) - **Mission**: To create an "interface to emotion" – a technology that makes mental health as trackable and actionable as physical health, using non-invasive neurotech. ## Products & Services - **Emotion‑Decoding BCI**: A non‑invasive brain‑computer interface that reads neural signals to identify emotional states. The product is described as a “fitness device for your brain” and aims to provide real‑time mental health insights. (Type: Hardware + SaaS / mobile app) - **Foundation Model for Emotion**: A proprietary foundation model trained on neural data to decode and predict emotional states, enabling empathetic technology. (Type: Software / AI Model) ## Market Standing - **Valuation**: Not publicly disclosed - **Key Metric**: Total funding raised **$401K** (as of early 2026, per PitchBook) - **Notable Investors / Partners**: One Mind Accelerator (lead), University of Cambridge, Cambridge Enterprise Ventures, Entrepreneurs First, Founders at the University of Cambridge - **Growth Signals**: - Headcount grew **233% YoY** to 8 employees (as of mid‑2026) - Hired **Jeff C. Jensen** (former CTO at Blackrock Neurotech, VP Engineering at Creator) as Founding Engineer in September 2025 - LinkedIn followers increased **222.9% year‑over‑year** to ~1,056 - Active job postings for key technical roles (Founding ML Engineer, Expression of Interest) - Presence in both San Francisco and United Kingdom ## Competitive Advantages - **Non‑invasive BCI**: Avoids the complexity and regulatory hurdles of implanted devices while still offering neural‑level insight. - **Emotion‑Decoding Foundation Model**: Proprietary AI trained on neural data gives a unique data advantage and potential for a platform play. - **Top‑talent pedigree**: Team includes alumni from Blackrock Neurotech, University of Cambridge, and former founders from multiple startups. - **Mission‑driven focus**: Addresses the massive unmet need for objective, data‑driven mental health tools. ## Strategic Focus - **Product development**: Building and refining the BCI hardware and the emotion‑decoding foundation model. - **Talent acquisition**: Actively hiring founding engineers (ML, product design) to accelerate product iteration. - **Clinical validation**: Likely pursuing partnerships with clinics and research institutions (given investor ties to Cambridge and One Mind Accelerator). - **Market entry**: Initially targeting early adopters in mental health and wellness, with potential expansion into employer wellness and telemedicine platforms. ## Why Work Here - **Mission‑driven**: Directly work on a product that could reshape how people understand and manage their mental health. - **High impact, lean team**: Join as a founding‑level contributor in an 8‑person startup (currently only ~3 in technical roles) – your work directly shapes the product. - **Top‑tier peers**: Collaborate with veterans from Blackrock Neurotech, Cambridge, and other leading neurotech players. - **Work environment**: Based in San Francisco with a presence in the UK; likely a hybrid or remote‑friendly setup for engineering roles. - **Growth opportunity**: 233% headcount growth and fresh funding signal strong momentum; early employees can earn significant equity in a fast‑growing startup. ## Sources 1. [orbitneuro.com](https://orbitneuro.com/) 2. [Ashby Careers Page](https://jobs.ashbyhq.com/orbit) 3. [LinkedIn - Orbit Neuro](https://www.linkedin.com/company/orbit-neuro) 4. [BizProfile - California Secretary of State Filing](https://www.bizprofile.net/ca/sacramento/orbit-neuro-co) 5. [PitchBook Profile](https://pitchbook.com/profiles/company/590935-42) ## Other roles at Orbit Neuro Co. - [Expression of Interest](https://feeny.ai/job/expression-of-interest-orbit-neuro-co-san-francisco-17j9k4sasbgf) — San Francisco, CA - [Founding Machine Learning Engineer](https://feeny.ai/job/founding-machine-learning-engineer-adaptive-security-new-york-hghvcyvtg4t6) — New York, NY - [Founding Machine Learning Engineer](https://feeny.ai/job/founding-machine-learning-engineer-noia-labs-paris-883jeppt1r63) — Paris, France - [Founding Machine Learning Engineer](https://feeny.ai/job/founding-machine-learning-engineer-wholesail-san-francisco-c8zj88rptnk5) — San Francisco, CA - [Founding Machine Learning Engineer](https://feeny.ai/job/founding-machine-learning-engineer-hiretofu-com-toronto-s77j94q766n5) — Toronto, Canada - [Founding Machine Learning Engineer](https://feeny.ai/job/founding-machine-learning-engineer-shepherd-san-francisco-97yaer4ye1g9) — San Francisco, CA - [Founding Machine Learning Engineer](https://feeny.ai/job/founding-machine-learning-engineer-composite-san-francisco-sj1kfbk2jwbb) — San Francisco, CA - [Founding Machine Learning Engineer](https://feeny.ai/job/founding-machine-learning-engineer-trove-san-francisco-ngf2c5c44bz5) — San Francisco, CA