Research Engineer, World Models Job at 1X Technologies (Palo Alto)

Senior Research Engineer

The HPE HPC & AI EMEA Research Lab (ERL) is characterized by a unique blend of i...

Location

Germany , Munich, Berlin

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Development experience in compiled languages such as C, C++ or Fortran and experience with interpreted environments such as Python
At least a B.Sc. equivalent in a Science, Technology, Engineering or Mathematical discipline
Parallel programming experience, with programming models such as OpenMP, MPI, CUDA, OpenACC, HIP, PGAS languages, etc.
An understanding of AI/ML frameworks, experience with frameworks such as TensorFlow or PyTorch is highly desirable
An interest in system- and data center monitoring and operational data analysis
Professional language skills in English and German

Job Responsibility

Perform world-class research while also shaping products of the future
Work with the most esteemed research partners across Europe
Enable high performance research software on pre-Exascale and Exascale supercomputers
Provide new environments/abstractions to support application developers to build, deploy, and run applications taking advantage of leading-edge hardware at scale
Make and operate HPC/AI systems and datacenters in a sustainable way
Manage modern data-intensive workloads in high performance environments

What we offer

Competitive salary and extensive benefits package (pension scheme, insurances, bike and car leasing, and other fringe benefits)
Work-life balance (flexible working time and hybrid workplace model, 30 vacation days, four HPE Wellness-Fridays, up to six months paid parental leave)
Support for education, training, and career development
Diverse and dynamic work environment

AI Research Engineer, Scaling

As a Research Engineer focused on Scaling, you will design and build robust infr...

Location

United States , Palo Alto

Salary:

180000.00 - 300000.00 USD / Year

1X Technologies

Expiration Date

Until further notice

Requirements

Strong programming experience in Python and/or C++
Deep intuitive understanding of training and inference speed bottlenecks and scaling laws
A mindset aligned with extremely high scaling: belief that scale is foundational to enabling humanoid robotics
Degree in Computer Science or a related field
Experience with distributed training frameworks (e.g., TorchTitan, DeepSpeed, FSDP/ZeRO), multi-node debugging, and experiment management
Proven skills in optimizing inference performance using graph compilers, batching/scheduling, and serving systems like TensorRT or equivalents
Familiarity with quantization strategies (PTQ, QAT, INT8/FP8) and tools such as TensorRT and bitsandbytes
Experience developing or tuning CUDA or Triton kernels with understanding of hardware-level optimization (vectorization, tensor cores, memory hierarchies)

Job Responsibility

Own and lead scaling of distributed training and inference systems
Ensure compute resources are optimized to make data the primary constraint
Enable massive training runs (1000+ GPUs) using robot data, with robust fault tolerance, experiment tracking, and distributed operations
Optimize inference throughput for datacenter use cases such as world models and diffusion engines
Reduce latency and enhance performance for on-device robot policies using techniques such as quantization, scheduling, and distillation

What we offer

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

Fulltime

Research Engineer, Scaling

As a Research Engineer, Scaling, you will design and build infrastructure to sup...

Location

United States , Palo Alto

Salary:

180000.00 - 300000.00 USD / Year

1X Technologies

Expiration Date

Until further notice

Requirements

Strong programming experience in Python and/or C++
Deep intuitive understanding of what affects training or inference speed: from bottlenecks to scaling laws
A mindset aligned with extremely high scaling: belief that scale is foundational to enabling humanoid robotics
Degree in Computer Science or a related field
Hands‑on experience with distributed training frameworks (e.g., TorchTitan, DeepSpeed, FSDP/ZeRO), multi‑node debugging, experiment management
Proven skills optimizing inference performance: graph compilers, batching/scheduling, serving systems (e.g., using TensorRT or equivalents)
Familiarity with quantization strategies: PTQ, QAT, INT8/FP8
tools like TensorRT, bitsandbytes, etc.
Experience writing or tuning CUDA or Triton kernels
understanding of hardware features like vectorization, tensor cores, and memory hierarchies

Job Responsibility

Own and lead scaling of both distributed training and inference systems
Ensure compute resources are sufficient so that data, not hardware, is the limiter
Enable massive training at scale (1000+ GPUs) on robot data, handling fault tolerance, experiment tracking, distributed operations, and large datasets
Optimize inference throughput in datacenter contexts (e.g., for world models and diffusion engines)
Reduce latency and optimize performance for on‑device robot policies through techniques like quantization, scheduling, distillation, etc.

What we offer

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

Fulltime

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

Research Engineer AI

The role involves conducting high-quality research in AI and HPC, shaping future...

Location

United Kingdom , Bristol

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

A good working knowledge of AI/ML frameworks, at least TensorFlow and PyTorch, as well as the data preparation, handling, and lineage control, as well as model deployment, in particular in a distributed environment
At least a B.Sc. equivalent in a Science, Technology, Engineering or Mathematical discipline
Development experience in compiled languages such as C, C++ or Fortran and experience with interpreted environments such as Python
Parallel programming experience, with relevant programming models such as OpenMP, MPI, CUDA, OpenACC, HIP, PGAS languages is highly desirable

Job Responsibility

Perform world-class research while also shaping products of the future
Enable high performance AI software stacks on supercomputers
Provide new environments/abstractions to support application developers to build, deploy, and run AI applications taking advantage of leading-edge hardware at scale
Manage modern data-intensive AI training and inference workloads
Port and optimize workloads of key research centers like the AI safety institute
Support onboarding and scaling of domain-specific applications
Foster collaboration with the UK and European research community

What we offer

Health & Wellbeing benefits that support physical, financial and emotional wellbeing
Career development programs catered to achieving career goals
Unconditional inclusion in the workplace
Flexibility to manage work and personal needs

Fulltime

Research Engineer, GenAI

You will be part of Kiddom’s Data Science team, building the foundation of our s...

Location

United States , San Francisco; New York

Salary:

175000.00 - 250000.00 USD / Year

Kiddom

Expiration Date

Until further notice

Requirements

5+ years of industry experience applying machine learning to solve real-world problems with large, complex datasets
1–2 years in a technical leadership role
Proven track record designing, evaluating, and deploying ML/AI systems in production environments that drive measurable business impact, ideally in recommendation, personalization, search, or workflow optimization
Strong programming skills in Python
Fluency in data manipulation (SQL, Pandas) and common ML toolkits (scikit-learn, XGBoost, TensorFlow/PyTorch)
Strong analytical skills and ability to break down complex problems into measurable hypotheses and experiments
Excellent communication skills with a history of cross-functional collaboration with product, design, and engineering stakeholders

Job Responsibility

Architect and scale machine learning systems for search, personalization, and recommendations that power Kiddom’s teacher helper and insight engine
Develop evaluation-first development workflows to measure how models improve teaching efficiency, lesson planning, and student learning outcomes
Fine-tune machine learning models with feedback signals from teachers and students to align outputs with instructional goals and classroom needs
Design intelligent discovery pipelines that combine semantic retrieval, curriculum alignment, and real-time personalization
Build agentic assistants that help teachers plan lessons, adapt instruction, and reduce repetitive tasks
Collaborate closely with product managers, designers, and curriculum experts to translate high-level educational goals into scalable ML-powered systems
Coach and mentor junior ML engineers and data scientists, fostering technical and professional growth

What we offer

Meaningful equity
Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance
One Medical membership (in participating locations)
Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year
10 paid sick days per year (pro rated depending on start date)
Paid holidays
Paid bereavement leave
Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State
Commuter and FSA plans

Fulltime

Machine Learning Research Engineer

You will be part of Kiddom’s Data Science team, building the foundation of our s...

Location

United States , San Francisco; New York

Salary:

175000.00 - 250000.00 USD / Year

Kiddom

Expiration Date

Until further notice

Requirements

Have 5+ years of industry experience applying machine learning to solve real-world problems with large, complex datasets, with 1–2 years in a technical leadership role
Proven track record designing, evaluating, and deploying ML/AI systems in production environments that drive measurable business impact, ideally in recommendation, personalization, search, or workflow optimization
Strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and common ML toolkits (scikit-learn, XGBoost, TensorFlow/PyTorch)
Strong analytical skills and ability to break down complex problems into measurable hypotheses and experiments
Excellent communication skills with a history of cross-functional collaboration with product, design, and engineering stakeholders

Job Responsibility

Architect and scale machine learning systems for search, personalization, and recommendations that power Kiddom’s teacher helper and insight engine
Develop evaluation-first development workflows to measure how models improve teaching efficiency, lesson planning, and student learning outcomes
Fine-tune machine learning models with feedback signals from teachers and students to align outputs with instructional goals and classroom needs
Design intelligent discovery pipelines that combine semantic retrieval, curriculum alignment, and real-time personalization
Build agentic assistants that help teachers plan lessons, adapt instruction, and reduce repetitive tasks
Collaborate closely with product managers, designers, and curriculum experts to translate high-level educational goals into scalable ML-powered systems
Coach and mentor junior ML engineers and data scientists, fostering technical and professional growth

What we offer

Competitive salary
Meaningful equity
Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance
One Medical membership (in participating locations)
Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year
10 paid sick days per year (pro rated depending on start date)
Paid holidays
Paid bereavement leave
Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State
Commuter and FSA plans

Fulltime

Research Scientist Intern, World Modelling

We’re looking for a curious and motivated World Modelling Intern to help advance...

Location

United Kingdom , London

Salary:

Not provided

Wayve

Expiration Date

Until further notice

Requirements

Currently pursuing a PhD or Masters in Computer Science, Robotics, Electrical Engineering, or a related field, with a focus on Machine Learning, AI, or Computer Vision
Experience in research with one or more of: generative models, world modelling, 3D vision, diffusion models, or efficient ML
Interest in synthetic data, simulation-to-reality transfer, representation learning, or model scaling
Comfortable working in Python and libraries like PyTorch, NumPy, and Pandas
An experimental mindset: you enjoy building, testing, and iterating on ideas to see what works

Job Responsibility

Help advance the next generation of generative world models for autonomous driving
Work embedded in a research team to build controllable video diffusion models and efficient world models that enable realistic, interactive simulations of complex driving environments

What we offer

Competitive compensation and benefits
A dynamic and fast-paced work environment in which you will grow every day
A culture that is ego-free, respectful and welcoming
Potential to publish your research work at a top flight conference

Research Engineer, World Models

1X Technologies

Location:
United States , Palo Alto

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 01, 2025

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

Similar Jobs for Research Engineer, World Models

Senior Research Engineer

AI Research Engineer, Scaling

Research Engineer, Scaling

Research Engineer, Reinforcement Learning

Research Engineer AI

Research Engineer, GenAI

Machine Learning Research Engineer

Research Scientist Intern, World Modelling

Research Engineer, World Models

1X Technologies

Location:United States , Palo Alto

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:December 01, 2025

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

Similar Jobs for Research Engineer, World Models

Senior Research Engineer

AI Research Engineer, Scaling

Research Engineer, Scaling

Research Engineer, Reinforcement Learning

Research Engineer AI

Research Engineer, GenAI

Machine Learning Research Engineer

Research Scientist Intern, World Modelling

Location:
United States , Palo Alto

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
December 01, 2025