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 Machine Learning Engineer, Reinforcement Learning

About the Role: We are looking for a Senior Machine Learning Engineer with stron...

Location

United States , Beverly Hills, CA

Salary:

150000.00 - 185000.00 USD / Year

Snail Games

Expiration Date

Until further notice

Requirements

Strong foundation in machine learning, with hands-on experience building, training, and iterating on applied ML systems
Professional or substantial project experience with reinforcement learning, agent-based systems, sequential decision-making, or closely related areas
Strong Python skills and experience with modern ML frameworks such as PyTorch
Experience designing experiments, evaluating model behavior, and improving results through systematic iteration
T-shaped capability: deep machine learning expertise plus practical range across one or more adjacent areas such as simulation, evaluation, model integration, systems collaboration, or robotics-adjacent machine learning
Strong problem-solving ability, sound judgment, and comfort working in ambiguous, fast-changing environments
Respectful, low-ego collaborative style and willingness to work beyond a narrow specialty when the work requires it

Job Responsibility

Design, train, and iterate on machine learning models for intelligent agents and decision-making systems, with an emphasis on reinforcement learning and related approaches
Define and refine state representations, action spaces, reward structures, and evaluation criteria to improve agent behavior
Build and improve practical experimentation and training workflows, including data generation, experiment tracking, and reproducibility
Analyze results, debug model behavior, and make pragmatic tradeoffs between model performance, iteration speed, and system complexity
Work closely with engineers and other partners to help integrate successful ML work into usable product systems
Contribute thoughtful technical input on next-step experiments, tooling, and ML direction as Egofold continues to evolve

What we offer

True focus on work/life balance
Paid company holidays, vacation, and separate sick leave
Medical, dental, vision, and Life/LTD
401k with company match

Fulltime

Senior Machine Learning Engineer - Forecasting

We are seeking a Senior Machine Learning Engineer, Forecasting to join the Forec...

Location

United States , Los Angeles

Salary:

156190.05 - 211315.95 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Doctorate degree OR Master's degree and 2 years of applying data science in enterprise environments experience OR Bachelor's degree and 4 years of applying data science in enterprise environments experience OR Associate's degree and 8 years of applying data science in enterprise environments experience OR High school diploma / GED and 10 years of applying data science in enterprise environments experience

Job Responsibility

Design, build, and maintain scalable machine learning systems and forecasting pipelines to support demand forecasting across near-, medium-, and long-term planning horizons
Productionize advanced statistical, Bayesian, and machine learning forecasting models, including training, validation, deployment, and lifecycle management
Build and optimize data pipelines, feature engineering workflows, and batch and real-time inference systems using large, complex datasets
Own the end-to-end ML engineering lifecycle, including solution design, prototyping, model integration, testing, deployment, monitoring, observability, and continuous improvement
Develop robust MLOps capabilities, including model versioning, CI/CD, automated retraining, performance monitoring, drift detection, and rollback strategies
Partner closely with data scientists and business stakeholders to operationalize forecasting, simulation, and scenario-analysis capabilities that support strategic decision-making
Establish and promote software engineering best practices, including code quality, documentation, reproducibility, and system reliability
Research and evaluate emerging tools, platforms, and methodologies in machine learning engineering, forecasting, and AI for potential application to business problems

What we offer

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models where possible

Fulltime

Research Engineer - Machine Learning and Systems

We are hiring a principal level Research Engineer with deep strength in machine ...

Location

United States , New York City

Salary:

100000.00 - 250000.00 USD / Year

Helpcare AI

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Machine Learning, Computer Graphics, Computer Vision, or related field, or equivalent research track record
Seven or more years of experience in applied ML or research engineering including significant time in fast paced or startup settings
Strong publication record in top venues such as NeurIPS, ICLR, ICML, CVPR, ECCV, ICCV, SIGGRAPH, or TOG with multiple first author papers or equivalent impactful artifacts
Proven experience training and serving large models at scale including multi GPU or multi node training, distributed data loading, mixed precision, and memory optimization
Fluency in Python and C++ and experience writing efficient CUDA or Triton kernels
Expertise with PyTorch or JAX and modern tooling for experiment tracking, evaluation, and deployment
Demonstrated ability to take ideas from paper to production with measurable impact on users or business outcomes
Strong systems skills including profiling, performance tuning, reliability engineering, and cost awareness
Excellent communication with the ability to work across research and product teams

Job Responsibility

Research, design, and implement models and systems across vision, generative modeling, simulation, rendering, and 3D perception
Build data, training, evaluation, and deployment pipelines with strong observability and reproducibility
Translate research insights into reliable production services that meet product and latency requirements
Contribute hands on across prototyping, optimization, integration, and scaling
Survey new methods and run grounded evaluations to identify what to adopt and when
Share expertise through design reviews, mentoring, and documentation

What we offer

Relocation support available

Fulltime

Staff Machine Learning Engineer

Orbital uses AI to build data center hardware that outperforms the competition. ...

Location

United Kingdom , London

Salary:

Not provided

Orbital

Expiration Date

Until further notice

Requirements

5+ years of professional experience in ML/AI research or engineering
OR a relevant PhD + 2 years of professional experience in ML/AI research or engineering
Proven experience training, evaluating and productionising AI models at scale, with deep understanding of the full ML lifecycle from research to deployment
Strong engineering fundamentals with the ability to write high-quality, maintainable code and architect robust systems
A strong ability to reason about algorithms, system design, linear algebra, probabilistic concepts and ML engineering trade-offs
An ability to debug complex machine learning systems through meticulous attention to detail, testing of edge cases and carefully selected ablations
A genuine interest in building AI systems that enable breakthrough scientific and industrial applications

Job Responsibility

Set the technical bar and ensure engineering excellence
Establish and maintain exceptionally high standards for code quality, system architecture and ML research and engineering practices through hands-on coding and technical review
Design robust, well-engineered systems that others can build upon, balancing research velocity with production requirements
Drive technical decisions on model selection, training approaches and deployment strategies
Deliver high-impact AI projects across diverse domains
Develop and deploy AI solutions across the entire technology development pipeline- computational chemistry simulations, agentic workflows and beyond
Rapidly upskill in new technical areas through close collaboration with domain experts
Demonstrate strong implementation skills through hands-on development, contributing significantly to the codebase
Balance research rigour with pragmatic engineering to deliver production-ready systems at scale
Push the frontier of ML research

Fulltime

Senior Machine Learning Engineer - Model Evaluations

The Public Sector ML team at Scale deploys advanced AI systems—including LLMs, a...

Location

United States , San Francisco; St. Louis; New York; Washington

Salary:

216300.00 - 300300.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

Experience in computer vision, deep learning, reinforcement learning, or NLP in production settings
Strong programming skills in Python
experience with TensorFlow or PyTorch
Background in algorithms, data structures, and object-oriented programming
Experience with LLM pipelines, simulation environments, or automated evaluation systems
Ability to convert research insights into measurable evaluation criteria
This role will require an active security clearance or the ability to obtain a security clearance

Job Responsibility

Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge–based evaluations
Design test datasets and benchmarks to measure generalization, bias, explainability, and failure modes
Build evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing
Conduct comparative analyses of model architectures, training procedures, and evaluation outcomes
Implement tools for continuous monitoring, regression testing, and quality assurance for ML systems
Design and execute stress tests and red-teaming workflows to uncover vulnerabilities and edge cases
Collaborate with operations teams and subject matter experts to produce high-quality evaluation datasets

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO

Fulltime

Senior Machine Learning Engineer

As a Machine Learning Engineer at Dedrone, you’ll play a pivotal role in advanci...

Location

United States , Sterling

Salary:

Not provided

Axon

Expiration Date

Until further notice

Requirements

5+ years of professional experience in modern C++ (C++14/17 or later), with strong object-oriented and generic programming skills
Deep understanding of multithreading and concurrency (threads, thread pools, locks, lock-free structures, atomics, futures, async patterns) and experience building robust, concurrent systems
Hands-on experience with parallel processing frameworks or patterns (SIMD, task-based parallelism, GPU offload, or similar) for real-time or high-throughput applications
Strong command of data structures and algorithms, and the ability to choose and implement the right structures for performance-critical, memory-constrained environments
Proven experience with memory management and performance optimization in C++ (stack vs heap, custom allocators, cache-aware design, avoiding fragmentation, RAII, move semantics)
Practical experience with CUDA (or similar GPU programming frameworks): writing kernels, managing GPU memory, optimizing for occupancy and bandwidth, and integrating with C++ codebases
Familiarity with Linux-based development (build systems like CMake, unit testing frameworks, containerization and/or cross-compilation for edge devices)
Strong debugging and profiling skills across CPU and GPU, and a methodical approach to benchmarking and regression testing
Excellent collaboration and communication skills, with a track record of working closely with research or ML teams to move algorithms from prototype to production

Job Responsibility

Design and implement high-performance C++ software that runs computer vision and tracking algorithms in real time on edge devices
Work closely with computer vision / self-supervised learning engineers to integrate their models into production pipelines, including pre/post-processing, I/O, and system orchestration
Build and optimize multithreaded and parallel processing pipelines for ingesting, synchronizing, and processing data from a networked system of cameras
Implement and tune CUDA kernels and GPU-accelerated components to maximize throughput and minimize latency for inference, tracking, and search
Design robust data structures and memory management strategies for handling large volumes of video, sensor, and metadata streams under tight compute and power constraints
Profile and optimize code using tools such as perf, valgrind, nvprof / Nsight, and similar to identify bottlenecks and improve CPU/GPU utilization
Collaborate with simulation and CV teams to deploy and evaluate algorithms in realistic test scenarios, including fault handling and performance monitoring
Develop clean, well-tested, and well-documented C++ libraries and services that can be reused across products and future airspace applications
Contribute to system-level architecture decisions, including inter-process communication, scheduling, resource allocation, and deployment strategies on edge platforms

What we offer

Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs
Snacks in our offices

Fulltime

Senior Machine Learning Engineer

This newly established team will operate independently from our core trading ope...

Location

China , Shanghai

Salary:

Not provided

Optiver

Expiration Date

Until further notice

Requirements

Solid experience in running production machine learning infrastructure at a large scale
Experience in designing, deploying, profiling and troubleshooting in Linux-based computing environments
Proficiency in containerization, parallel computing and distributed training algorithms
Experience with storage solutions for large scale, cluster-based data intensive workloads

Job Responsibility

Building the compute platform and machine learning libraries for large scale machine learning and simulation workloads
Focus on compute platform stability and efficiency on both CPU and GPU clusters, making the platform observable and scalable
Utilize cluster monitoring and profiling tools to identify bottlenecks and optimize both infrastructure and software system
Design, build and improve our compute platform for PB scale data model training and simulations with a wide range of machine learning models by leveraging our existing research infrastructure

What we offer

Competitive compensation and long-term incentives
Access to cutting-edge infrastructure, compute, and proprietary datasets
Operate in a high-trust, low-bureaucracy environment with exceptional resources

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Machine Learning Engineer, Simulation

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

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