Research Engineer AI Job at Hewlett Packard Enterprise (Bristol)

AI Research Engineer

We're seeking a Research Engineer to conduct innovative research in key AI areas...

Location

United Kingdom

Salary:

Not provided

Prolific

Expiration Date

Until further notice

Requirements

5+ years of engineering experience with significant AI/ML focus
Demonstrated research experience through publications, open-source contributions, or impactful projects
Strong engineering fundamentals and experience implementing AI systems in production environments
Deep knowledge of LLM evaluation methodologies, alignment techniques, and model optimization approaches
Experience with model fine-tuning, adapters, quantization, and distillation frameworks
Self-motivation and ability to define and pursue research directions independently
Excellent understanding of current challenges in AI safety, reliability, and alignment
Strong communication skills and ability to explain complex research concepts clearly
Passion for staying current with the rapidly evolving AI research landscape

Job Responsibility

Lead independent research projects in AI evaluation methodologies, alignment techniques, and synthetic data generation
Design and implement novel evaluation frameworks for LLMs and agent systems that are grounded in human data
Contribute to the academic AI community through publications and open-source contributions
Stay at the forefront of AI research and pioneer innovative approaches to tackle pressing open challenges in the field
Design and conduct rigorous experiments to study AI models and systems with sound methodological approaches
Develop scalable frameworks for systematic evaluation of model behaviours and capabilities
Create tools and frameworks that transform research insights into practical applications
Build infrastructure to support large-scale research experiments when needed
Apply knowledge of model fine-tuning, optimization techniques, distillation, and other ML engineering practices to support research goals
Work closely with ML engineers, data scientists, and product teams to translate research insights into practical applications

What we offer

competitive salary
benefits
remote working
impactful, mission-driven culture

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

AI Research Engineer - Signal Processing

At Helsing, we deliver AI-based capabilities and the enabling foundation that al...

Location

Germany , Munich; Berlin

Salary:

Not provided

Helsing

Expiration Date

Until further notice

Requirements

Hold an MSc in signal processing, machine learning, robotics, communication engineering or related field with experience in conceptualising, implementing and thoroughly evaluating advanced AI-based systems
Have excellent communication skills and the ability to report and present research findings clearly and efficiently both internally and externally
Are passionate about keeping up to date with current research and enjoy reimplementing / extending the state-of-the art in ML/AI
Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++

Job Responsibility

Develop and extend the state-of-the-art in signal processing, applying and deploying the technology in real-world scenarios
Contribute to projects and will collaborate with people across several teams and backgrounds
Build in-house solutions for signal processing problems that we face, in the sky or underwater

What we offer

Competitive compensation and stock options
Relocation support
Social and education allowances
Regular team, company events, and all-hands to bring together employees as one team across Europe
A hands-on onboarding program

Fulltime

AI Research Engineer, VLA Models

As a Research Engineer on the Vision-Language Action (VLA) team, you will be res...

Location

United States , Palo Alto

Salary:

180000.00 - 300000.00 USD / Year

1X Technologies

Expiration Date

Until further notice

Requirements

Strong programming skills in Python and familiarity with build systems like Bazel
Experience using deep learning frameworks such as PyTorch
Proficiency in simulation environments like Isaac Sim or MuJoCo
Deep understanding of generalization in autonomous systems
Experience designing and validating evaluation metrics in real or simulated environments
Ability to work cross-functionally with controls, QA, and data teams to operationalize models

Job Responsibility

Take end-to-end ownership of autonomous capability development: data review, model design, deployment, and fleet performance monitoring
Train NEO to perform whole-body manipulation and navigation tasks in unfamiliar environments
Design robust evaluation metrics to support scalable model pre-training
Experiment with cutting-edge vision-language and generative model techniques to predict robot actions
Collaborate with controls, QA, and data teams to deploy reinforcement learning policies to the production fleet

What we offer

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

Fulltime

AI Research Engineer, Data Infrastructure

As a Research Engineer in Infrastructure, you will design and implement a robust...

Location

United States , Palo Alto

Salary:

180000.00 - 250000.00 USD / Year

1X Technologies

Expiration Date

Until further notice

Requirements

Strong experience in building data pipelines and ETL systems
Ability to design and implement systems for data collection and management from robotic fleets
Familiarity with architectures that span on-robot components, on-premise clusters, and cloud infrastructure
Experience with data labeling tools or building dataset visualization and annotation tooling
Proficiency in creating or applying machine learning models for dataset organization and automated labeling

Job Responsibility

Optimize operational efficiency of data collection across the NEO robot fleet
Design intelligent triggers to determine when and what data should be uploaded from the robots
Automate ETL pipelines to make fleet-wide data easily queryable and training-ready
Collaborate with external dataset providers to prepare diverse multi-modal pre-training datasets
Build frontend tools for visualizing and automating the labeling of large datasets
Develop machine learning models for automatic dataset labeling and organization

What we offer

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

Fulltime

AI Research Engineer - Reinforcement Learning

At Helsing we deliver AI-based capabilities and the enabling infrastructure that...

Location

Germany , Munich

Salary:

Not provided

Helsing

Expiration Date

Until further notice

Requirements

Hold MSc in machine learning with a speciality in either reinforcement learning, multi-agent systems, automation and control, or robotics
Have excellent communication skills and the ability to report and present research findings clearly and efficiently both internally and externally
Are passionate about keeping up-to-date with current research and enjoy reimplementing / extending papers on state-of-the-art Deep Learning-based approaches
Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++, and experience deploying AI software to production including testing, QA, and monitoring

Job Responsibility

Design, train and deploy agents in complex multi-agent environments
Contribute to our reinforcement learning stack by implementing, improving and extending the current state of the art in multi-agent reinforcement learning
Be a part of impactful projects and will collaborate with people across several teams and backgrounds to integrate cutting edge ML/AI in our production systems

What we offer

Competitive compensation and stock options
Relocation support
Social and education allowances
Regular company events and all-hands to bring together employees as one team across Europe
A hands-on onboarding program (affectionately labelled “AI-duction”), in which you will be familiarising yourself with our tools and ML pipelines used across the company

Fulltime

Applied AI Engineer – Generative AI

Kodiak is redefining what AI can do in autonomy, and generative models play a cr...

Location

United States , Mountain View

Salary:

150000.00 - 250000.00 USD / Year

Kodiak Robotics

Expiration Date

Until further notice

Requirements

BS, MS, or PhD in AI, Computer Science, or a related field, or at least 2-3 years of industry experience
Experience with diffusion models, autoregressive learning, or generative AI methods
Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow
Strong understanding of uncertainty modeling and self-supervised learning
Passion for building AI that continuously adapts and learns

Job Responsibility

Develop generative models that enhance adaptability and improve AI robustness
Research and implement diffusion-based, autoregressive, and variational techniques for real-world AI applications
Apply generative methods to anticipate challenges and reinforce decision-making
Build self-improving AI pipelines that continuously refine model understanding
Optimize models for efficient, scalable, and interpretable AI decision-making

What we offer

Competitive compensation package including equity and biannual bonuses
Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian (including a medical plan with infertility benefits)
Flexible PTO and generous parental leave policies
Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
Long Term Disability, Short Term Disability, Life Insurance
Wellbeing Benefits - Headspace, One Medical, Gympass, Spring Health
Fidelity 401(k)
Commuter, FSA, Dependent Care FSA, HSA
Various incentive programs (referral bonuses, patent bonuses, etc.)

Fulltime

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

Research Engineer AI

Hewlett Packard Enterprise

Location:
United Kingdom , Bristol

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
May 07, 2025

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Job Posted:May 07, 2025

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