AI Research Engineer, Scaling Jobs

New

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

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 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

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

New

AI Research Lead - Multimodal & Video

Join Tether and Shape the Future of Digital Finance. At Tether, we’re not just b...

Location

Salary:

Not provided

Tether App

Expiration Date

Until further notice

Requirements

PhD, MS or equivalent experience
Hands on experience in building Image/Video/3D generation and multimodal foundation models building from scratch
5+ years of experience in managing or leading 10+ research & engineer teams
Excellent communication and interpersonal skills
Excellent understanding of an AI-based product lifecycle
Hands-on experience in building end-to-end multimodal foundation models on thousands of multi-node GPUs
Proficiency in modern deep learning and diffusion frameworks & libraries

Job Responsibility

Lead the research, design, and development of state-of-the-art image, video, and 3D generation models, including multimodal foundation models
Lead high-impact, specialized projects focused on innovative text, images, audio and video applications
Define and drive the technical roadmap for multimodal AI initiatives, aligning research goals with business and product objectives
Provide technical leadership and mentorship to teams of AI researchers and engineers, fostering innovation and skill development
Oversee the end-to-end lifecycle of multimodal model development, from dataset curation and model training to deployment and performance evaluation
Lead large-scale multi-node GPU model training, ensuring scalability, efficiency, and reproducibility of experiments
Collaborate closely with cross-functional teams, including product, design, and engineering, to integrate AI solutions into production systems
Drive applied research initiatives in image/video/3D generation, editing, animation, and other related domains
Monitor advancements in AI research and multimodal technologies, and incorporate novel techniques to improve model capabilities and performance
Contribute to the AI research community, including publications, open-source contributions, and participation in conferences

Senior Research Engineer

We are seeking a highly skilled Senior Research Engineer to collaborate closely ...

Location

United States

Salary:

210000.00 - 309000.00 USD / Year

Assembly

Expiration Date

Until further notice

Requirements

Strong expertise in the Python ecosystem and major ML frameworks (PyTorch, JAX)
Experience with lower-level programming (C++ or Rust preferred)
Deep understanding of GPU acceleration (CUDA, profiling, kernel-level optimization)
TPU experience is a strong plus
Proven ability to accelerate deep learning workloads using compiler frameworks, graph optimizations, and parallelization strategies
Solid understanding of the deep learning lifecycle: model design, large-scale training, data processing pipelines, and inference deployment
Strong debugging, profiling, and optimization skills in large-scale distributed environments
Excellent communication and collaboration skills, with the ability to clearly prioritize and articulate impact-driven technical solutions

Job Responsibility

Investigate and mitigate performance bottlenecks in large-scale distributed training and inference systems
Develop and implement both low-level (operator/kernel) and high-level (system/architecture) optimization strategies
Translate research models and prototypes into highly optimized, production-ready inference systems
Explore and integrate inference compilers such as TensorRT, ONNX Runtime, AWS Neuron and Inferentia, or similar technologies
Design, test, and deploy scalable solutions for parallel and distributed workloads on heterogeneous hardware
Facilitate knowledge transfer and bidirectional support between Research and Engineering teams, ensuring alignment of priorities and solutions

What we offer

competitive equity grants
100% employer-paid benefits
flexibility of being fully remote

Fulltime

New

AI Research Lead - Multimodal & Video

Join Tether and Shape the Future of Digital Finance. At Tether, we’re not just b...

Location

Salary:

Not provided

Tether App

Expiration Date

Until further notice

Requirements

PhD, MS or equivalent experience
Hands on experience in building Image/Video/3D generation and multimodal foundation models building from scratch
5+ years of experience in managing or leading 10+ research & engineer teams
Excellent communication and interpersonal skills
Excellent understanding of an AI-based product lifecycle
Hands-on experience in building end-to-end multimodal foundation models on thousands of multi-node GPUs
Proficiency in modern deep learning and diffusion frameworks & libraries

Job Responsibility

Lead the research, design, and development of state-of-the-art image, video, and 3D generation models, including multimodal foundation models
Lead high-impact, specialized projects focused on innovative text, images, audio and video applications
Define and drive the technical roadmap for multimodal AI initiatives, aligning research goals with business and product objectives
Provide technical leadership and mentorship to teams of AI researchers and engineers, fostering innovation and skill development
Oversee the end-to-end lifecycle of multimodal model development, from dataset curation and model training to deployment and performance evaluation
Lead large-scale multi-node GPU model training, ensuring scalability, efficiency, and reproducibility of experiments
Collaborate closely with cross-functional teams, including product, design, and engineering, to integrate AI solutions into production systems
Drive applied research initiatives in image/video/3D generation, editing, animation, and other related domains
Monitor advancements in AI research and multimodal technologies, and incorporate novel techniques to improve model capabilities and performance
Contribute to the AI research community, including publications, open-source contributions, and participation in conferences

New

AI Research Lead - Multimodal & Video

Join Tether and Shape the Future of Digital Finance. At Tether, we’re not just b...

Location

Salary:

Not provided

Tether App

Expiration Date

Until further notice

Requirements

PhD, MS or equivalent experience
Hands on experience in building Image/Video/3D generation and multimodal foundation models building from scratch
5+ years of experience in managing or leading 10+ research & engineer teams
Excellent communication and interpersonal skills
Excellent understanding of an AI-based product lifecycle
Hands-on experience in building end-to-end multimodal foundation models on thousands of multi-node GPUs
Proficiency in modern deep learning and diffusion frameworks & libraries

Job Responsibility

Lead the research, design, and development of state-of-the-art image, video, and 3D generation models, including multimodal foundation models
Lead high-impact, specialized projects focused on innovative text, images, audio and video applications
Define and drive the technical roadmap for multimodal AI initiatives, aligning research goals with business and product objectives
Provide technical leadership and mentorship to teams of AI researchers and engineers, fostering innovation and skill development
Oversee the end-to-end lifecycle of multimodal model development, from dataset curation and model training to deployment and performance evaluation
Lead large-scale multi-node GPU model training, ensuring scalability, efficiency, and reproducibility of experiments
Collaborate closely with cross-functional teams, including product, design, and engineering, to integrate AI solutions into production systems
Drive applied research initiatives in image/video/3D generation, editing, animation, and other related domains
Monitor advancements in AI research and multimodal technologies, and incorporate novel techniques to improve model capabilities and performance
Contribute to the AI research community, including publications, open-source contributions, and participation in conferences

AI Research Engineer, Scaling

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 14, 2025

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