Machine Learning Engineer, Simulation Job at Waymo (London)

Senior Machine Learning Engineer, Simulation

We are seeking a Senior Machine Learning Engineer with expertise in deep learnin...

Location

United States , Santa Clara

Salary:

130000.00 - 200000.00 USD / Year

PlusAI

Expiration Date

Until further notice

Requirements

MS (with 3+ years of relevant experience) or PhD new grad in mechanical, electrical, aerospace engineering, physics, computer science, or a related field
Extensive experience applying deep learning techniques to time series forecasting and data analysis
Proficient in Python with experience working in large codebases
Excellent communication skills and the ability to collaborate effectively in a team setting
Familiarity with state-of-the-art deep learning models and their applications
Ensure that technical work meets customer requirements, regulatory standards, and company quality policies.

Job Responsibility

Develop accurate, scalable vehicle dynamics models from collected road test data, leveraging deep learning and advanced data analysis techniques
Conduct in-depth analysis of road test data to identify trends, anomalies, and key performance indicators to enhance model accuracy
Integrate the data-driven models into simulation pipelines with seamless compatibility
Design and implement an automated modeling pipeline for periodic model training, evaluation, and updates
Collaborate with cross-disciplinary teams to reproduce and resolve issues encountered during real-world road tests
Ensure that technical work meets customer requirements, regulatory standards, and company quality policies
Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts

What we offer

Work, learn and grow in a highly future-oriented, innovative and dynamic field
Wide range of opportunities for personal and professional development
Catered free lunch, unlimited snacks and beverages
Highly competitive salary and benefits package, including 401(k) plan

Fulltime

Senior Software Engineer, Controls

As a Senior Software Engineer on our controls team, you will deliver mission-cri...

Location

United States , Santa Clara

Salary:

150000.00 - 200000.00 USD / Year

PlusAI

Expiration Date

Until further notice

Requirements

Master's or PhD degree in Mechanical Engineering, Robotics, Aerospace Engineering, Computer Science, or related field
2+ years of MLE experience or industry experience designing and developing for robotics applications
Strong foundation in motion control and modern neural network architectures, with expertise in at least one application area, such as IL/RL, time-series analysis, or dynamic system modeling
Skilled in debugging robotic systems within Linux environments, with strong programming expertise in Python and C++
Experience in model development & training with modern frameworks (e.g. PyTorch)
Hands-on familiarity with data ingestion and processing pipelines

Job Responsibility

Design, implement, and enhance control algorithms by developing frameworks that integrate MPC with learning based approaches (DL/RL/IL)
Responsible for the conceptual design and implementation of data driven controller by working cross-functionally with domain experts and other stakeholders by specifying meaningful insights for solving trajectory tracking problems
Develop tools and infrastructure for dataset generation, training, and evaluation to drive advancements in online control optimization
Ensure all model development keeps a real-time focus and operates efficiently in compute-constrained environments
Take a lead role in the planning and execution of vehicle testing in the offline simulation environment and on public roads to systematically improve performance, as well as performing root cause analysis and debugging to address any issues
Track and incorporate the latest multidisciplinary research advancements in a fast-moving field
Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts
Ensure team compliance with QMS, monitor quality, and drive process improvements

What we offer

Work, learn and grow in a highly future-oriented, innovative and dynamic field
Wide range of opportunities for personal and professional development
Catered free lunch, unlimited snacks and beverages
Highly competitive salary and benefits package, including 401(k) plan

Fulltime

Robotics Engineer, Intern

At Machina Labs, we’re reshaping manufacturing through advanced robotics and mac...

Location

United States , Chatsworth

Salary:

20.00 - 35.00 USD / Hour

Machina Labs

Expiration Date

Until further notice

Requirements

Experience in Robotics, Controls and Motion Planning, Simulation, and Sensor Integration
Experience in statistical method for model complex systems (Machine Learning)
Experience developing real-time software and familiarity with software development design paradigms such as OO, functional, etc.
Solid understanding of robot Kinematics and Dynamics
Experience with Robotic Software Frameworks such as ROS
Experience with software development lifecycle in a team (code reviews, version control, tests)
Understanding of manufacturing processes and process instrumentation
Bachelor’s degree or equivalent experience in Electrical Engineering, Mechanical Engineering, Computer Engineering or related engineering fields

Job Responsibility

Identify project priorities, software/hardware requirements and design constraints with team members across multiple disciplines and translate those into minimum viable systems
Take part in design review meetings and provide feedback to team
Design software for path planning and control of robotic end-effectors
Operate robots using your software and enable other team members to efficiently interface with the robots to test and implement new features
Design, implement, and integrate sensors and supporting software / firmware
Rapidly develop prototypes to verify design concepts and constraints, and balance design efforts with short- and long-term objectives
Take part in the software development effort and take charge of the full software development lifecycle

Fulltime

Director of Innovation Engineering

Hewlett Packard Enterprise (HPE) is seeking a dynamic Director of Innovation Eng...

Location

United States

Salary:

167500.00 - 405500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Advanced leadership skills, including coaching and team building
strong analytical and problem-solving skills
experience with automation, machine learning, or sustainable engineering solutions
solid background with Cloud Architecture and/or Hybrid Cloud Infrastructure
knowledge of industry regulations and compliance requirements
experience with cloud native services and industry standard security practices
programming GPUs, DPUs, and/or SmartNICs preferred
patents, research publications, or involvement in breakthrough innovations are highly desired

Job Responsibility

Research, design, and develop advanced engineering solutions
utilize AI, automation, computational modeling, and simulation tools
lead the development of innovative materials, manufacturing techniques, and system designs
conduct root cause analysis and implement corrective actions
collaborate with R&D, production, and quality assurance teams
manage multiple engineering projects, ensuring timelines and budget constraints
execute a strategic roadmap for technology innovation partnerships
stay updated on industry trends and emerging technologies
provide mentorship and technical guidance to junior engineers
manage direct reports, including hiring, performance plans, coaching, and career development

What we offer

comprehensive suite of benefits supporting physical, financial, and emotional wellbeing
personal and professional development programs
diversity, inclusion, and belonging initiatives

Fulltime

PhD Student AI-based Automated Driving

As part of an interdisciplinary research project, we are investigating the poten...

Location

Germany , Wolfsburg

Salary:

Not provided

Volkswagen AG

Expiration Date

Until further notice

Requirements

Good to very good university degree (Master's or Diploma) qualifying for doctoral studies in computer science, robotics, mechanical engineering, electrical engineering, cognitive science or a related field
Sound knowledge in at least one of the following areas: Machine learning, computer vision, automotive engineering, control engineering
Experience with deep learning frameworks (e.g. PyTorch, TensorFlow)
Good knowledge of programming languages (Python)
Interest in interdisciplinary Research and complex technical systems
English language level B1

Job Responsibility

Analyzing the driving dynamics capabilities of existing VLM-based driving systems
Developing benchmarks for evaluating physically realistic vehicle control
Integrating vehicle dynamics models into multimodal AI systems
Fine-tuning large language models for domain-specific applications
Evaluating through simulation and transferring into real-world driving scenarios

What we offer

Attractive salary & 30 vacation days (+ 24.12. and 31.12. off)
35-hour week, flexible working hours, remote work
Special conditions for the purchase and leasing of vehicles
Free seminars on scientific work and interdisciplinary qualifications
Participation in the doctoral network for scientific exchange with science representatives and other doctoral candidates within the Volkswagen Group

Fulltime

Bike sharing system rebalancing by reinforcement learning algorithms

This internship project focuses on a specific component of a broader initiative ...

Location

France , Lyon

Salary:

Not provided

ABG - Association Bernard Gregory

Expiration Date

Until further notice

Requirements

Master’s student (M2) or in the final year of an Engineering School program
Background in Computational Mechanics, Applied Mathematics, or Data Science
Knowledge and experience in numerical modeling and simulation of physical or dynamical systems
Knowledge and experience in machine learning or statistical data analysis
Knowledge and experience in time series forecasting and spatio-temporal modeling
Knowledge and experience in optimization and/or reinforcement learning methods
Programming skills in Python (preferred), including libraries such as NumPy, Pandas, PyTorch, or TensorFlow
Data visualization and exploratory data analysis
Familiarity with version control tools (e.g., Git) and collaborative coding practices
Good written and oral communication skills in English

Job Responsibility

Develop predictive models to estimate short-term bicycle availability and demand at both the station and network levels using spatio-temporal data
Analyze and preprocess heterogeneous datasets, including trip records, station metadata, weather conditions, and temporal factors, to create robust inputs for modeling
Implement and compare different machine learning approaches (e.g., time series forecasting, graph neural networks, spatio-temporal models) to capture flow dynamics in the bikeshare system
Evaluate the performance and scalability of predictive algorithms under realistic conditions, using metrics relevant to operational decision-making in mobility systems
Provide data-driven inputs for the reinforcement learning module, enabling the development of adaptive and real-time rebalancing strategies in the second phase of the project
Integrate uncertainty quantification to assess the confidence of predictions and their impact on rebalancing decisions
Explore online or incremental learning techniques to enable continuous model adaptation as new data streams become available

Runway Safety Specialist

The jobholder will act as Runway Safety Specialist, and will notably actively co...

Location

France , Toulouse

Salary:

Not provided

NAVBLUE Limited

Expiration Date

Until further notice

Requirements

Master’s degree in Aeronautical Engineering or equivalent
Demonstrated strong analytical and technical skills
Technical: Modeling, Machine learning, Algorithm
Coding: Python, Matlab, Simulink, Git
Preferably 3 Years of experience
A first experience in Aircraft Manufacturer or Avionic supplier (System and/or Aircraft Performance)
Recognized for your agility and analysis skills for complex technical topics
Ability to travel internationally (3-5 Domestic and International travels a year)

Job Responsibility

Contributing to ROAAS development activities for a dedicated Aircraft manufacturer by Generating ROAAS performance database and supporting material for its certification
Providing system logics and modeling to simulate landing distance performance computation and operational procedure for ROAAS on non-Airbus development
Analyzing current Airbus design and propose new solutions adapted to non-Airbus aircraft specificities
Proposing new ways of working and to ensure the performance of non-Airbus activities by challenging and optimizing existing development (Airbus or Non Airbus)
Supporting ROAAS operators and ensuring technical support once solution in service
Participating in meetings and reviews with Airbus engineering teams on ROPS & ROAAS development
Mid Term evolution: depending on your learning path & motivations, you could be involved by: Assessing latest ROPS development and certification demonstrations and check applicability to non-Airbus design to enrich specification to the highest level of maturity
Participating in Intellectual Property protection activities in coordination with relevant Airbus stakeholders (Intellectual Property, Legal etc…)

PhD Student - AI-Based Electric Machine Design

As a PhD candidate (f/m/d) in the field of AI-assisted electric machine developm...

Location

Germany , Baunatal

Salary:

Not provided

Volkswagen AG

Expiration Date

Until further notice

Requirements

A good to excellent university degree (Master’s or equivalent) in electrical engineering or a related field, qualifying for PhD studies
Knowledge in electric machine design and/or machine learning
Experience with simulation software (e.g., MATLAB, ANSYS, JMAG)
A responsible and structured working style, along with above-average commitment
Language proficiency in German and English at minimum level B2 (CEFR)

Job Responsibility

Develop AI-based methods for the design of electric machines
Investigate loss mechanisms under variable modulation and switching frequencies
Consider the influence of pulse-width modulation inverters on electric machine losses as a key design factor
Simulate and evaluate machine concepts using modern tools (e.g., FEM, MATLAB/Simulink)
Build and measure prototypes to validate developed concepts

What we offer

Attractive salary & 30 vacation days (+ 24.12. and 31.12. off)
35-hour week, flexible working hours, remote work
Special conditions for the purchase and leasing of vehicles
Free seminars on scientific work and interdisciplinary qualifications
Participation in the doctoral network for scientific exchange with science representatives and other doctoral candidates within the Volkswagen Group

Fulltime

Machine Learning Engineer, Simulation

Waymo

Location:
United Kingdom , London

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
April 19, 2026

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