AI Research Engineer, Scaling Job at 1X Technologies (Palo Alto)

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

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

Director of AI Engineering

We are entering a hyper-growth phase of AI innovation and are hiring a Director ...

Location

Canada; United States

Salary:

300000.00 - 450000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

10–15+ years in software engineering, with significant leadership experience owning AI/ML or applied LLM systems at scale
Proven history shipping LLM-powered features, agentic workflows, or AI assistants used by real customers in production
Deep understanding of LLM orchestration frameworks (LangChain, LlamaIndex), RAG pipelines, vector search, embeddings, and prompt engineering
Expert in backend & distributed systems (Python strongly preferred) and cloud infrastructure (AWS/GCP)
Strong experience with telemetry, observability, and cost-aware real-time inference optimizations
Demonstrated ability to lead senior engineers, define technical roadmaps, and deliver outcomes aligned to business metrics
Experience building or scaling teams working on experimentation, optimization, personalization, or ML-powered growth systems
Exceptional ability to simplify complex problems, set clear standards, and drive alignment across Product, Data, Design, and Engineering
Strong product sense, ability to weigh novelty vs. impact, focus on user value, and prioritize speed with guardrails
Fluent in integrating AI tools into engineering workflows for code generation, debugging, delivery velocity, and operational efficiency

Job Responsibility

Define the multi-year technical vision for Apollo’s AI stack, spanning agents, orchestration, inference, retrieval, and platformization
Prioritize high-impact AI investments by partnering with Product, Design, Research, and Data leaders to align engineering outcomes with business goals
Establish technical standards, evaluation criteria, and success metrics for every AI-powered feature shipped
Lead the architecture and deployment of long-horizon autonomous agents, multi-agent workflows, and API-driven orchestration frameworks
Build reusable, scalable agentic components that power GTM workflows like research, enrichment, sequencing, lead scoring, routing, and personalization
Own the evolution of Apollo’s internal LLM platform for high-scale, low-latency, cost-optimized inference
Oversee model-driven experiences for natural-language interfaces, RAG pipelines, semantic search, personalized recommendations, and email intelligence
Partner with Product & Design to build intuitive conversational UX that hides underlying complexity while elevating user productivity
Implement rigorous evaluation frameworks, including offline benchmarking, human-in-the-loop review, and online A/B experimentation
Ensure robust observability, monitoring, and safety guardrails for all AI systems in production

What we offer

Equity
Company bonus or sales commissions/bonuses
401(k) plan
At least 10 paid holidays per year
Flex PTO
Parental leave
Employee assistance program and wellbeing benefits
Global travel coverage
Life/AD&D/STD/LTD insurance
FSA/HSA

Fulltime

AI Engineer

In this role you will design and build intelligent, autonomous AI systems that e...

Location

United States , San Diego

Salary:

199500.00 - 299300.00 USD / Year

Teradata

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
3–5+ years of experience in software architecture, backend development, or AI infrastructure
Strong Python skills and familiarity with Java, Go, and C++
Deep expertise in agent development, LLM integration, prompt engineering, runtime systems, and AI tooling
Experience with MCP servers, vector databases, RAG systems, graph-based memory, and NLP frameworks
Ability to design core agentic capabilities such as memory management, context handling, observability, and identity
Strong background in distributed systems, backend services, API design, and cloud-native deployments (AWS, Azure, GCP)
Proficiency with containerization, CI/CD pipelines, and scalable production infrastructures
Excellent communication skills, documentation habits, and ability to mentor or collaborate across teams
Passion for building safe, human-aligned, autonomous systems and extending open-source tools to innovate

Job Responsibility

Design and build intelligent, autonomous AI systems that enable Teradata to push the boundaries of enterprise-scale agentic technology
Lead the development of scalable, secure, cloud-native frameworks that allow AI agents to reason, plan, act, and collaborate in real-world production environments
Create the foundational runtime components, automation capabilities, and infrastructure that power next-generation GenAI and Agentic AI solutions
Work closely with AI researchers, platform teams, and product leadership to bring advanced agentic capabilities from concept to production across Teradata’s data and AI platform
Succeed in this role by enabling enterprise customers to leverage powerful, resilient, and safely governed AI agents that drive measurable business value

What we offer

Healthcare, life and disability insurance plans
401(k)-retirement savings plan
Time-off programs
Flexible work model
Well-being focus
Diversity, Equity, and Inclusion commitment

Fulltime

PhD AI Research Intern

Join our cutting-edge Machine Learning Research team at Atlassian as a PhD Resea...

Location

Canada

Salary:

55.00 USD / Hour

Atlassian

Expiration Date

Until further notice

Requirements

Completed Bachelors degree in Computer Science or a related field
Currently pursuing a PhD in Computer Science or a related field at any stage of your doctoral studies
Strong foundation in AI/ML, LLMs, modeling and/or optimization techniques

Job Responsibility

Collaborate cross-functionally with Research Scientists and Machine Learning Engineers to design, implement, and evaluate experiments that advance the performance, efficiency, and scalability of modern ML and LLM systems for our AI products
Curate, preprocess, and manage large-scale datasets for training and evaluation, ensuring data quality, diversity, and reproducibility across experiments
Conduct continued training, fine-tuning, and alignment of large language models for specialized applications such as conversational AI, summarization, generative search, and multimodal agents
Evaluate cutting-edge ML algorithms through rigorous experimentation and provide detailed analyses highlighting performance insights, failure modes, and opportunities for improvement
Contribute to publications and presentations at internal workshops or top-tier academic venues, helping to drive innovation in Enterprise AI and large-scale ML systems

What we offer

health and wellbeing resources
paid volunteer days

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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