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Vice President Machine Learning Consultant Jobs (NOW HIRING)

Hikinex

Vice President, Robot Learning

Palo Alto, CA · On-site

This is an opportunity to define the robot learning strategy at a company where machine learning is central to the product roadmap. The Role We're seeking a Vice President of Robot Learning to lead ...

New

Masimo

VP, Algorithm - AI

Irvine, CA · On-site

$254K - $320K/yr

The VP, Algorithm - AI is responsible for leading the strategy, development, and execution of ... Drive innovation in machine learning, signal processing, and modeling to advance Masimo ...

HIKINEX

Vice President, Robot Learning

Palo Alto, CA · On-site

This is an opportunity to define the robot learning strategy at a company where machine learning is central to the product roadmap. The Role We're seeking a Vice President of Robot Learning to lead ...

New

Mondo

Strategist (VP/SVP)

Manhattan, NY · Remote

$100 - $110/hr

Apply now: VP/SVP Strategic Communications Consultant, location is remote. The start date is ASAP for this contract position. Job Title: VP/SVP Strategic Communications Consultant Location-Type:

Mutual of America

Vice President, AI Strategy

Boca Raton, FL · On-site

$176.70 - $265.10/hr

Collaborate with the VP of Data to ensure the data platform efficiently supports AI, machine learning, and analytics capabilities across all departments. * Maintain authority and accountability for ...

StockX

Vice President, Product

Detroit, MI

The VP will set long-term product strategy, align multi-product roadmaps to business goals, and ... Bring demonstrated experience building or evolving products that leverage AI, machine learning, or ...

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As of Jul 15, 2026, the average yearly pay for vice president machine learning consultant in the United States is $153,332.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,000.00 and $165,500.00 per year, depending on experience, location, and employer.
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Infographic showing various Vice President Machine Learning Consultant job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 87% Full Time, 7% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $153,332 per year, or $73.7 per hour.
Vice President, Robot Learning

Vice President, Robot Learning

Hikinex

Palo Alto, CA • On-site

Full-time

Posted 2 days ago

New

Job description

Vice President, Robot Learning
Confidential | Early-Stage Robotics Startup | San Francisco Bay Area, CA
About the Opportunity
We're partnering with an ambitious early-stage robotics company building the next generation of humanoid telepresence systems for industrial work.
The company's mission is to make dangerous, highly skilled physical work safer and more accessible by enabling expert operators to remotely control humanoid robots with real-time visual, auditory, and haptic feedback. These systems are deployed in complex environments including energy infrastructure, industrial facilities, manufacturing, and other hazardous settings.
A core part of the long-term vision is transforming teleoperation data into increasingly autonomous robotic capabilities. Rather than treating teleoperation as a temporary solution, the company views it as the foundation for building high-quality robot learning systems based on real-world interaction, force feedback, and task execution.
This is an opportunity to define the robot learning strategy at a company where machine learning is central to the product roadmap.
The Role
We're seeking a Vice President of Robot Learning to lead the company's robot learning organization and own the roadmap from teleoperation data collection through to learned policies and increasing levels of autonomy.
This is a highly technical leadership role for someone who enjoys building from first principles, working closely with hardware and software teams, and translating cutting-edge robotics research into production systems.
You'll have the opportunity to shape both the technical direction and the team as the company scales.
What You'll Do
  • Own the robot learning strategy and technical roadmap.
  • Build the data pipeline that transforms teleoperation sessions into high-quality training data.
  • Develop learning systems for contact-rich robotic manipulation using real-world demonstrations.
  • Design and deploy imitation learning, reinforcement learning, and policy optimization approaches for physical robots.
  • Work closely with robotics, controls, perception, and hardware engineers to build an integrated robotic system.
  • Lead the evolution from teleoperated workflows toward progressively autonomous capabilities.
  • Build, mentor, and grow a world-class robot learning organization.
  • Establish technical direction, research priorities, and engineering best practices.
  • Drive experimentation, deployment, and continuous improvement using real-world operational data.

What We're Looking For
Required
  • PhD or equivalent expertise in Robotics, Machine Learning, Computer Science, or a related field.
  • Significant experience building robot learning systems for real-world robotic manipulation.
  • Deep expertise in imitation learning, reinforcement learning, policy learning, or related techniques.
  • Experience working with physical robots rather than purely simulated environments.
  • Strong understanding of contact-rich manipulation, force feedback, and real-world robotic control.
  • Track record of shipping robotics systems from research into production.
  • Experience leading highly technical teams or serving as the technical leader for a major robotics initiative.

Preferred
Experience from leading robotics organizations or research groups such as:
  • OpenAI Robotics
  • Google DeepMind Robotics
  • Physical Intelligence
  • Toyota Research Institute
  • Figure AI
  • Agility Robotics
  • Covariant
  • Skild AI
  • Sanctuary AI
  • Dexterity
  • Intrinsic
  • Boston Dynamics
  • Other leading manipulation or humanoid robotics companies

Particularly valuable experience includes:
  • Learning from teleoperation or human demonstrations
  • Building commercial robot learning data pipelines
  • Manipulation in contact-rich environments
  • Haptic interfaces or force-controlled robotics
  • Multi-modal learning using vision, force, and proprioception
  • Scaling robot learning infrastructure across fleets

Who You Are
  • Builder-first with a passion for deploying robotics in the real world.
  • Comfortable operating in an early-stage, fast-moving environment.
  • Excited by ambiguous technical problems with significant ownership.
  • Able to balance long-term research vision with near-term product execution.
  • Motivated by building a team, not just contributing individually.
  • Collaborative, hands-on, and deeply technical.

Why Join
  • Define the robot learning strategy from an early stage.
  • Build systems that operate in challenging, real-world industrial environments.
  • Work across hardware, controls, perception, and AI to solve end-to-end robotics problems.
  • Help shape the future of intelligent humanoid robotics.
  • Significant technical ownership with the opportunity to build and lead a high-impact organization.

Location: San Francisco Bay Area, California (onsite)
Employment Type: Full-time
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About Hikinex

Sourced by ZipRecruiter

Hikinex is a multi-channel integrated service provider designed to help Companies scale fast and drive more profit. We leverage diverse resources to provide Superior services at a fraction of the cost.

Industry

Strategic planning consulting services

Company size

51 - 200 Employees

Headquarters location

San Francisco, CA, US

Year founded

2016

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