---
title: 'Senior/Staff Machine Learning Engineer at Dexterity'
canonical: 'https://feeny.ai/job/senior-staff-machine-learning-engineer-dexterity-redwood-city-kda8wc6tqpcj'
type: 'job'
last_seen: '2026-09-11'
---

# Senior/Staff Machine Learning Engineer at Dexterity

- **Company:** Dexterity
- **Location:** Redwood City, CA
- **Compensation:** $170k–$225k
- **Work type:** onsite
- **Posted:** 2025-06-09
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.lever.co/dexterity/c8a70b59-6dc2-4139-b3bf-758295777c98

## Job description

## About Dexterity

At Dexterity, we believe robots can positively transform the world. Our breakthrough technology frees people to do the creative, inspiring, problem-solving jobs that humans do best by enabling robots to handle repetitive and physically difficult work.

We’re starting with warehouse automation, where the need for smarter, more resilient supply chains impacts millions of lives and businesses worldwide. Dexterity's full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities. Our systems are software-driven and hardware-agnostic and have already picked 100+ million goods in production. And did we mention we’re customer-obsessed? Every decision, large and small, is driven by one question – how can we empower our customers with robots to do more than they thought was possible?

Dexterity is one of the fastest-growing companies in robotics, backed by world-class investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures. We’re a diverse and multidisciplinary team with a culture built on passion, trust, and dedication. Come join Dexterity and help make intelligent robots a reality!

## About the Role

As a Senior/Staff Machine Learning Engineer, you will be working on a myriad of challenges related to robot task and action planning. You will leverage techniques from machine learning to solve hard sequential decision problems that require reasoning about the physical world and its dynamics. You will also stay abreast of the latest progress in imitation learning, reinforcement learning, and other related fields in order to further develop Dexterity’s technology foundations in Physical AI. Additionally, you will be responsible for updating and scaling our current ML pipelines to cover more scenarios and improve accuracy.

Dexterity's robotic solutions integrate data from a multitude of sensors, including RGB cameras, depth sensors, force-torque sensors, encoders, system telemetry and human input. To better inform the planning algorithms, you may work on sensor fusion and state estimation techniques to leverage this multimodal sensory data.

You will also work closely with the data platform, physics simulation, and robot operations teams to develop effective and efficient ways to improve the system’s internal world model.

Dexterity has an expanding set of algorithmic challenges as we deploy new robotic applications, including areas such as:

- Improving packing algorithms to build taller, denser, more stable structures with a wider variety of objects.
- Solving the logistics task of moving and sorting inventory throughout a warehouse.
- Building models that understand physics and geometry for both short- and long-horizon tasks.

In addition to curating datasets and developing/improving machine learning models, you will be responsible for building data flywheels. Ideally, you will bring data-driven productization experience and help the team broadly in qualifying, deploying and updating models.

## Responsibilities

- Design and implement machine learning solutions across Dexterity’s robotics stack, including but not limited to perception, decision-making, action scoring, and predictive modeling
- Own the full ML development cycle for these solutions: data curation, labeling, training, evaluation, deployment, and iteration
- Build performant training and inference pipelines using PyTorch, with production-readiness and scalability in mind
- Collaborate closely with robotics, data platform, and simulation teams to integrate ML into real-time, latency-sensitive robotic systems
- Use profiling, monitoring, and experiments to optimize model performance and reliability
- Ensure reproducibility, traceability, and modularity across training and serving pipelines
- Maintain clean, production-quality code in Python (and C++ where required)
- Help establish best practices for model versioning, dataset management, and ML operations

Required Skills

- Degree in Computer Science, Electrical Engineering, or Mathematics 5+ years of industry experience applying machine learning to real-world, production systemsStrong Python skills and deep experience with PyTorch
- Ability to work fluently across ML tasks, e.g., classification, regression, ranking, segmentation, and structured prediction
- Strong engineering background with experience profiling, debugging, and optimizing model and pipeline performance
- Proven ability to design and maintain reliable systems, from model training to field deployment
- Experience with cloud-based infrastructure (AWS, GCP, Azure) and containerized environments (Docker)
- Familiarity with Linux, Git, CI/CD) and software development best practices (unit/acceptance/integration testing, code reviews)

Nice to haves

- Prior experience in robotics, autonomous systems, or real-time ML applications
- Exposure to multimodal data (e.g., RGBD, force-torque, pose estimates, telemetry)
- Experience deploying models using serving stacks like NVIDIA Triton, TorchServe, or custom low-latency frameworks
- Background in computer vision, geometric learning, or time-series modeling
- Experience with Kubernetes, Ray or other distributed training and inference systems
- Previous startup experience or experience in fast-paced, cross-disciplinary environments

## Equal Opportunity Employer

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

## About Dexterity

## Company Overview
- **One-liner**: Dexterity builds Physical AI and robotic systems that give industrial robots human-like dexterity for complex logistics and warehouse tasks, already deployed in production at major enterprises.
- **Entity Type**: Private (Series C‑II)
- **Headquarters**: Redwood City, California, USA
- **Founded**: 2017
- **Founders**: Samir Menon (CEO)

## Core Business
- **Primary industries**: Robotics, Physical AI, logistics automation, warehousing, supply chain operations, e‑commerce, parcel, retail, and aviation.
- **Target customers**: B2B – large enterprises in logistics, warehousing, and material handling.
- **Mission / purpose**: To deliver world‑changing robotics that automate repetitive tasks, allowing human workers to focus on higher‑level cognitive work.

## Products & Services
- **[Mech](https://dexterity.ai)**: An industrial superhumanoid robot with dual‑arm coordination, advanced vision, and an omnidirectional drivetrain. Capable of lifting up to 30 kg per arm (60 lbs top pick, 12 kg side pick) and operating in rugged conditions (0–50 °C, up to 90% humidity). Handles truck loading/unloading, palletizing, and depalletizing. Achieves ~400 boxes/hour loading (vs. industry average of ~300 boxes/hour). Type: Hardware + AI software.
- **[Foresight](https://dexterity.ai)**: A world model for Physical AI, trained on over 100 million autonomous actions in production. Enables long‑horizon reasoning and real‑time decision‑making. Opened to the community via the Foresight API Challenge in 2026. Type: AI software / API.
- **Other robotic systems**: Full‑stack robotics for loading, unloading, sorting, and other complex manipulations in unpredictable environments. Type: Hardware + software.

## Market Standing
- **Valuation / Market Cap**: Not publicly disclosed.
- **Key Metric**: Annual Revenue ~$13.5 M (2026 estimate, per LinkedIn). Total funding: conflicting reports – **$396.11 M** (per CB Insights) vs. **$291.2 M** (per LinkedIn). Both figures cited as conflicting.
- **Notable Investors**: Lightspeed, Matter Venture Partners, Sumitomo, Obvious Ventures, B37 Ventures, and at least 14 other investors (CB Insights). Also strategic partnership with Kawasaki Robotics.
- **Growth Signals**:
  - Named one of Business Insider’s 25 most promising robotics startups of 2026.
  - Headcount: 129 employees across 6 countries (US, India, Japan, Taiwan, France, Italy). Job postings up 20% year‑over‑year.
  - Zero safety incidents reported in production.
  - Over 100 million autonomous actions in production.
  - Partnership with Kawasaki Robotics announced in June 2026.

## Competitive Advantages
- **Production‑proven Physical AI**: Robots run full shifts at the world’s largest logistics companies with zero safety incidents.
- **Foresight world model**: A transactable world model built for long‑horizon reasoning – a differentiator vs. competitors that rely on simpler reactive systems.
- **Human‑like dexterity**: Dual‑arm coordination and advanced vision handle edge cases that stop competing solutions.
- **Safety‑first approach**: Emphasized on their website and backed by a clean safety record.

## Strategic Focus
- **Expanding into new verticals**: Moving beyond logistics into aviation (e.g., Customer Success Manager for Aviation Robotics role) and retail.
- **Open‑sourcing AI capabilities**: The Foresight API Challenge invites the community to build on their world model.
- **Deepening enterprise partnerships**: Collaboration with Kawasaki Robotics to combine trusted hardware with Dexterity’s Physical AI.
- **Scaling production deployments**: Continued hiring of field engineers, site operations managers, and technical program managers.

## Why Work Here
- **Cutting‑edge technology**: Work on some of the hardest robotics and AI challenges for the largest businesses on Earth.
- **Real‑world impact**: Robots are already in production – not just demos or pilots.
- **Culture & reviews**: Employer rating 3.3/5 (50 reviews) with work‑life balance 3.0, compensation 3.1, culture 3.0, career 3.1. Mixed but not outstanding.
- **Work policy**: Most roles appear to be on‑site (Redwood City, CA; Gardena, CA; Tracy, CA). No explicit remote/hybrid policy found; job postings list on‑site locations.
- **Engineering culture**: Emphasis on safety, real‑world reliability, and pushing the boundaries of Physical AI. Talent drawn from Stanford, Tesla, Apple, Amazon, etc.
- **Notable perks**: Opportunity to contribute to a world model used in production; involvement in the Foresight API Challenge.

## Sources
1. [dexterity.ai](https://dexterity.ai) – Company website, product descriptions, Foresight, safety claims.
2. [jobs.lever.co/dexterity](https://jobs.lever.co/dexterity) – Careers page, job postings, location info.
3. [cbinsights.com](https://www.cbinsights.com/company/dexterity-1) – Funding rounds, total raised ($396.11M), investors, founded year, product details.
4. [linkedin.com/company/dexterityinc](https://linkedin.com/company/dexterityinc) – Revenue ($13.5M), headcount (129), funding ($291.2M), locations, reviews, recent hiring trends, partnership announcement.
5. [go.dexterity.ai/resources](https://go.dexterity.ai/resources) – About page, mission, application instructions.

## Other roles at Dexterity

- [Staff Accountant](https://feeny.ai/job/staff-accountant-dexterity-redwood-city-v9psqpsy9t1f) — Redwood City, CA
- [Staff Engineer, Infrastructure](https://feeny.ai/job/staff-engineer-infrastructure-dexterity-redwood-city-rgk0hyabw2aj) — Redwood City, CA
- [Principal Product Manager, Physical AI Applications (Retail & 3PL)](https://feeny.ai/job/principal-product-manager-physical-ai-applications-retail-3pl-dexterity-redwood-z43nj6w6j8kx) — Redwood City, CA
- [Senior Talent & People Operations Partner](https://feeny.ai/job/senior-talent-people-operations-partner-dexterity-redwood-city-fnpwe33jesnd) — Redwood City, CA
- [Field Service Engineer](https://feeny.ai/job/field-service-engineer-dexterity-redwood-city-h76a0fagh32e) — Redwood City, CA
- [Senior Enterprise Sales Executive](https://feeny.ai/job/senior-enterprise-sales-executive-dexterity-remote-qgbv843djtcj)
- [Marketing Principal/ Director - Physical AI](https://feeny.ai/job/marketing-principal-director-physical-ai-dexterity-redwood-city-ne5h8fv86w9s) — Redwood City, CA
- [Senior Manager, Site Operations](https://feeny.ai/job/senior-manager-site-operations-dexterity-hagerstown-c6t5j8tjjb56) — Hagerstown, MD
- [Customer Success Manager, Aviation Robotics](https://feeny.ai/job/customer-success-manager-aviation-robotics-dexterity-redwood-city-rvv69ybz5f43) — Redwood City, CA
- [Robotics Field Engineer (Gardena, CA)](https://feeny.ai/job/robotics-field-engineer-gardena-ca-dexterity-gardena-3w68fw4jn74v) — Gardena, CA