Reinforcement Learning (RL) Engineer, Manipulation Job at Randstad (City of London)

Research Engineer, Reinforcement Learning

As a Research Engineer specializing in Reinforcement Learning, you will be respo...

Location

United States , Palo Alto

Salary:

180000.00 - 250000.00 USD / Year

1X Technologies

Expiration Date

Until further notice

Requirements

Strong programming experience in Python and/or C++
Proficiency with PyTorch
Hands-on experience with simulation platforms like Isaac Sim or MuJoCo
Experience training reinforcement learning policies, particularly for manipulation or locomotion
Ability to collaborate cross-functionally with hardware, control, data, and QA teams
Demonstrated experience addressing the sim-to-real gap

Job Responsibility

Own the full stack of engineering tasks: from data engineering and model architecture to delivering polished products
Train NEO on a wide variety of manipulation and locomotion tasks
Collaborate with hardware teams to bridge the sim-to-real gap for policies trained in simulation
Partner with controls, quality assurance, and data collection teams to ship RL policies to production
Deploy reinforcement learning-trained skills into real-world home environments

What we offer

Health, dental, and vision insurance
401(k) with company match
Paid time off and holidays

Fulltime

Senior Reinforcement Learning Engineer

Figure is an AI Robotics company developing a general purpose humanoid. Our Huma...

Location

United States , San Jose

Salary:

150000.00 - 400000.00 USD / Year

Figure

Expiration Date

Until further notice

Requirements

Confident writing production quality code in PyTorch
Familiar with online and offline reinforcement learning algorithms: PPO, SAC, etc.
Experience tuning hyperparameters and cost functions for these RL algorithms
Familiarity with common RL techniques such as: domain randomization, curriculum learning, reward shaping, etc.
Familiarity with general ML evaluation tools such as TensorBoard, Weights&Biases, etc.
Strong mix of industry and research experience, ideally 5-7+ years of experience

Job Responsibility

Develop, train, and deploy reinforcement learning algorithms for locomotion and manipulation tasks
Build simulation infrastructure to support the training of locomotion and manipulation policies for a general purpose humanoid robot at a large scale
Collaborate with the controls team to integrate policies into the existing control stack
Define, test, and evaluate performance metrics for learned policies

Fulltime

Ai/ml engineer - reinforcement learning (rl)

We are seeking a highly skilled Machine Learning Engineer to join our innovative...

Location

United States , Houston

Salary:

130000.00 - 170000.00 USD / Year

Cognitive Space

Expiration Date

Until further notice

Requirements

US Citizenship, Permanent Resident (Green) Card
Ability to obtain and maintain a U.S. Government security clearance at the Secret/Top Secret level
Bachelor’s, Master’s degree, or Ph.D. in a relevant field: Statistics, Applied Mathematics, Operations Research, Computational Physics, Computer Science, Engineering, etc.
2-5 years of professional experience as a Machine Learning Engineer, AI Engineer, Applied Scientist, or similar role leveraging RL
Comprehensive knowledge of numerical methods, probability, and statistics
Experience with Python, Rust, and with data science tools like Numpy and Pandas
Deep knowledge of machine learning frameworks, including TensorFlow, PyTorch, and Keras
Competence with Jupyter Notebook or similar platforms for development, testing, and presenting findings
Experience in data manipulation, analysis, and visualization
Proficiency in conveying intricate data in a clear and practical manner

Job Responsibility

Develop, train, and deploy RL models to analyze and interpret complex data, enhancing predictive accuracy and uncovering hidden patterns in large datasets while ensuring compliance with operational specifications
Design and implement data fusion algorithms to integrate information from multiple sources, ensuring real-time situational awareness
Containerize decision-making algorithms and capabilities for on-edge deployment
Collaborate with cross-functional teams to identify and prioritize AI/ML applications that address key milestones and requirements

What we offer

Equity in the form of options
Flexible Time-Off policy and company holidays
Cost-effective health care, dental, and vision with company contributions
401k matching plan with company match
Life insurance
Short-term and long-term disability

Fulltime

AI Research Engineer, Reinforcement Learning

As a Research Engineer focused on Reinforcement Learning, you will be responsibl...

Location

United States , Palo Alto

Salary:

180000.00 - 250000.00 USD / Year

1X Technologies

Expiration Date

Until further notice

Requirements

Strong programming experience in Python and/or C++ with familiarity using build tools such as Bazel
Proficiency with PyTorch
Hands-on experience with simulation platforms like Isaac Sim or MuJoCo
Experience training reinforcement learning policies, especially for manipulation or locomotion
Ability to collaborate cross-functionally with hardware, control, data, and QA teams
Demonstrated experience addressing the sim-to-real gap

Job Responsibility

Own the full stack of engineering tasks, from data engineering and model architecture to product deployment
Train NEO on a variety of manipulation and locomotion tasks
Collaborate with hardware teams to bridge the sim-to-real gap for policies trained in simulation
Partner with controls, QA, and data collection teams to ship RL policies to production
Deploy reinforcement learning-trained skills into real-world home environments

What we offer

Health, dental, and vision insurance
401(k) with company match
Paid time off and holidays
Equity

Fulltime

PhD Autonomy Engineer Intern - Planning & Controls (Reinforcement Learning)

Skydio builds the world’s most advanced autonomous drones used across inspection...

Location

Switzerland , Zurich

Salary:

50.00 EUR / Hour

Skydio

Expiration Date

Until further notice

Requirements

PhD student in Robotics, Machine Learning, Controls, or related field
Strong fundamentals in RL, control theory, and motion planning
comfort with safety/robustness concepts
Proficient in Python (PyTorch/JAX/Ray RLlib) and at least one of C++ or CUDA
Hands-on experience with robotics simulation (Isaac Lab/MuJoCo/PyBullet) and sim2real techniques
Experience training/deploying policies for navigation, manipulation, or locomotion on real robots or autonomous vehicles

Job Responsibility

Develop and deploy reinforcement learning (and adjacent policy-learning methods) that make Skydio aircraft plan, navigate, and control themselves more intelligently—safely, reliably, and efficiently—across our ecosystem: handheld apps, ground control, cloud autonomy services, and fleet workflows
Navigation & avoidance in the wild: Train policies that adapt online to cluttered 3D scenes (forests, bridges, urban canyons), complementing our geometric stack for robust obstacle avoidance and dynamic goal-seeking
RL-augmented planning: Fuse learned cost shaping / value functions with trajectory optimization for smooth, agile flight with tight safety envelopes and mission constraints
Sim → Real at scale: Build scalable datasets and training loops with Isaac Lab, domain randomization, residual learning, and safety filters
validate on real drones weekly
Human-in-the-loop shared control: Learn assistive policies that blend pilot intent, autonomy priors, and uncertainty-aware behaviors for intuitive control handoffs
Fleet & multi-agent: Explore decentralized coordination for coverage, pursuit, and collaborative mapping with minimal comms

Senior AI/ML Engineer - Reinforcement Learning

We are seeking a highly skilled senior Machine Learning Engineer to join our inn...

Location

United States , Houston

Salary:

160000.00 - 200000.00 USD / Year

Cognitive Space

Expiration Date

Until further notice

Requirements

US Citizenship, Permanent Resident (Green) Card
Ability to obtain and maintain a U.S. Government security clearance at the Secret/Top Secret level
Bachelor’s, Master’s degree, or Ph.D. in a relevant field: Statistics, Applied Mathematics, Operations Research, Computational Physics, Computer Science, Engineering, etc.
4-7 years of professional experience as a Machine Learning Engineer, AI Engineer, Applied Scientist, or similar role leveraging RL
Comprehensive knowledge of numerical methods, probability, and statistics
Experience with Python, Rust, and with data science tools like Numpy and Pandas
Deep knowledge of machine learning frameworks, including TensorFlow, PyTorch, and Keras
Competence with Jupyter Notebook or similar platforms for development, testing, and presenting findings
Experience in data manipulation, analysis, and visualization
Proficiency in conveying intricate data in a clear and practical manner

Job Responsibility

Develop, train, and deploy RL models to analyze and interpret complex data, enhancing predictive accuracy and uncovering hidden patterns in large datasets while ensuring compliance with operational specifications
Design and implement data fusion algorithms to integrate information from multiple sources, ensuring real-time situational awareness
Containerize decision-making algorithms and capabilities for on-edge deployment
Collaborate with cross-functional teams to identify and prioritize AI/ML applications that address key milestones and requirements

What we offer

Equity in the form of options
Flexible Time-Off policy and company holidays
Cost-effective health care, dental, and vision with company contributions
401k matching plan with company match
Life insurance
Short-term and long-term disability

Fulltime

New

Payroll Manager

Are you a seasoned Payroll Leader with expert-level Preceda skills? We are looki...

Location

Australia , Sydney

Salary:

Not provided

Randstad

Expiration Date

March 22, 2026

Requirements

Proven experience managing and mentoring a team, providing hands-on assistance and clear direction
Advanced, confident user of Preceda
Ability to ensure the accurate and timely delivery of both fortnightly and monthly payroll cycles
Acting as the subject matter expert for all payroll-related queries and complex legislative interpretations
Thorough experience interpreting EBAs
Ability to start right away, or within a couple days and commit to a temporary assignment

Job Responsibility

Lead a team within a Financial Services organisation
Ensure the seamless delivery of business-as-usual (BAU) payroll
Heading up a dedicated team of payroll professionals
Provide technical guidance, mentorship, and operational support

New

Management Accountant

Joining a lean, high-performing team, you will be the financial lead for NSW ope...

Location

Australia , Sydney

Salary:

110000.00 - 122000.00 AUD / Year

Randstad

Expiration Date

March 20, 2026

Requirements

Bachelor’s degree in Accounting or Finance
CA/CPA qualified or near completion
3+ years in Management Accounting with a focus on revenue and subcontractor models
Advanced Excel skills and experience developing financial reporting systems
Proven ability to provide robust analysis that supports business decisions
Independent problem-solver capable of managing multiple tasks and deadlines

Job Responsibility

Preparation of month-end accrual journals, P&L reports, and GL reconciliations
Weekly activity reporting for major customers and oversight of debt management
Providing financial advice to Head Office and Senior Management on site status
Developing and maintaining reporting tools and performance dashboards
Reporting revenue and costs for tipping and subcontractor-led projects
Driving budgeting, forecasting, and capital expenditure requests
Oversight and backup support for Payroll, AP, and AR functions

What we offer

Join a Close Knit team
Career Development

Reinforcement Learning (RL) Engineer, Manipulation

Randstad

Location:
United Kingdom , City of London

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Requirements:

Additional Information:

Job Posted:
March 09, 2026

Expiration:
March 25, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Reinforcement Learning (RL) Engineer, Manipulation