AI Research Engineer Job at Hornetsecurity (Hem)

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

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 Infrastructure Engineer

Block is scaling Customer Insights into an AI-powered insights accelerator that ...

Location

United States , Bay Area

Salary:

168300.00 - 297000.00 USD / Year

Block

Expiration Date

Until further notice

Requirements

7+ years of experience in research, automation implementation, analytics, or related technical fields with hands-on workflow optimization experience
3+ years implementing AI/ML solutions, with experience in automation, LLM integration, or applied AI/analytics workflows
Hands-on technical skills in programming languages (Python, R, SQL) for automation development, API/MCP integrations, cloud platforms, and research data pipeline creation
Experience with research and analytic platforms and tools (Qualtrics, Snowflake, etc) or transferable experience with analytics and automation platforms
Strong technical communication and translation skills with ability to make complex AI/ML concepts, data architecture decisions, and automation workflows accessible and actionable for researchers, product managers, and business stakeholders
Proven ability to build stakeholder confidence and alignment during technology transformation
Strong project management skills with ability to coordinate multiple complex automation initiatives, manage competing priorities, and deliver measurable operational efficiency gains (reduced cycle times, improved quality outcomes, increased research capacity)

Job Responsibility

Design, build, and deploy AI agents and agentic workflows that automate research operations from study design through insights delivery, using LLMs, prompt engineering, MCP (Model Context Protocol) integrations, and workflow orchestration integrated with existing research and analytics tech stack
Design, build, and maintain automated data pipelines that ingest, transform, and unify research data from diverse sources (surveys, transcripts, analytics, behavioral logs) into AI-ready repositories with RAG capabilities for instant insight access via tools like Goose
Architect ETL/ELT frameworks using Python, SQL or equivalent tools to ensure data consistency, traceability, and scalability
Develop data models and schemas for research metadata, participant data, and AI-generated insights to support efficient querying and analysis
Design and prototype research automation systems using AI/ML techniques, partnering with design & engineering teams to productionize solutions
Partner with engineering, design, and platform teams to integrate research automation systems with Block's tech stack (i.e. Goose, GitHub, etc.) and establish governance frameworks for quality, ethics, and compliance
Mentor team members on AI agent development, agentic system design, and research automation best practices to build organizational capabilities in intelligent automation

What we offer

Remote work
medical insurance
flexible time off
retirement savings plans
modern family planning

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

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, 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 - 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 - 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

AI Research Engineer

Hornetsecurity

Location:
France , Hem

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 22, 2026

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AI Research Engineer

Hornetsecurity

Location:France , Hem

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:January 22, 2026

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Job Posted:
January 22, 2026