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

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

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

Thesis project: reinforcement learning environments for ai agents

Your thesis will connect to our ongoing work with Predli Studio and help shape h...

Location

Sweden , Stockholm

Salary:

Not provided

Predli

Expiration Date

Until further notice

Requirements

Enrolled in a master’s program in Machine Learning, AI, Data Science, Computer Science, or Engineering Physics (or a related field)
Curious, analytical, and eager to explore how AI can be applied in practice
Skilled in Python and Typescript
Confident in taking initiative, communicating ideas clearly, and working both independently and collaboratively
Excited to learn from and contribute to a small, high-impact team where knowledge sharing and experimentation are part of everyday life
Preferably based in Stockholm, with the possibility to work partly remote
Fluent in English

Job Responsibility

Focus on the development of advanced RL scenarios that challenge agent adaptability, generalization and decision-making under uncertainty, providing valuable insights into the capabilities and limitations of current RL approaches
Collaborate with engineers and researchers to define a clear scope that fits both academic requirements and ongoing applied AI work

What we offer

Work alongside experienced AI engineers and researchers who will collaborate with you throughout your thesis
Get access to real-world data, infrastructure, and insights from ongoing AI projects
Contribute directly to the development of Predli Studio and help shape how organizations build and deploy AI in practice
Be part of a collaborative environment where learning, curiosity, and knowledge sharing are valued and encouraged
Gain exposure to both the consulting and product sides of applied AI
Possibility to continue your journey with us after your thesis

Applied Research Lead, Reinforcement Learning

We are building AI to simulate the world through merging art and science. We bel...

Location

United States

Salary:

280000.00 - 380000.00 USD / Year

Runway

Expiration Date

Until further notice

Requirements

4+ years of relevant engineering or research experience in applying reinforcement learning to align language, image, and/or video generation models
Very strong programming skills and ability to write clean and maintainable research code
Deep interest in building human-in-the-loop systems for creativity
Passion for seeing research through from initial conception to eventual application
Experience mentoring and teaching other researchers
Strong communication, collaboration, and documentation skills

Job Responsibility

Lead efforts in applying reinforcement learning based techniques to improve the quality and controllability of the models that power Runway’s research and tools

Fulltime

Senior AI and Machine Learning Engineer

We are seeking Senior AI/ML & Innovation Engineer who will be leading initiative...

Location

United States , Aguadilla

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
Typically, 7-10 years’ experience
Deep understanding of machine learning algorithms, such as linear regression, decision trees, support vector machines, random forests, deep learning models (e.g., neural networks), and reinforcement learning
A strong foundation in mathematics and statistics
Proficiency in programming languages such as Python, R, or Java
Strong understanding of GitHub CoPilot, Cursor, N8N, vibe coding, Windsurf, and similar technologies
Experience in Cloud Infrastructure (AWS, Azure, etc)
Knowledge of Open Source, Linux, etc
Understanding of Devops, SRE
Advanced knowledge and experience in deep learning

Job Responsibility

Conducts research and stays up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms
Collaborates with cross-functional teams to understand business requirements and design AI and machine learning solutions
Develops, implements, and optimizes machine learning models and algorithms
Deploys machine learning models into production environments
Monitors the performance of deployed models
Organizes and leads comprehensive design review sessions
Works collaboratively with the engineering manager and team lead to set design and implementation standards
Regularly leads meetings
Has experience in providing technical leadership, mentorship, and guidance to junior team members
Develops and delivers strategic presentations and reports to senior stakeholders

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

AI and Machine Learning Engineer

AI and Machine Learning Engineer role at Hewlett Packard Enterprise, responsible...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
Master's degree is desirable
Typically 5-7 years' experience
Deep understanding of machine learning algorithms (linear regression, decision trees, support vector machines, random forests, deep learning models, reinforcement learning)
Strong foundation in mathematics and statistics (linear algebra, calculus, probability theory)
Proficiency in programming languages such as Python, R, or Java
Experience with version control systems (e.g., Git)
Knowledge of libraries and frameworks like TensorFlow, PyTorch, sci-kit, Keras
Proficiency in using agentic frameworks like langGraph
Knowledgeable in lineage tracking of agentic architectures

Job Responsibility

Conduct advanced research in AI and machine learning
Stay up to date with latest advancements in the field
Explore emerging technologies
Identify opportunities to apply cutting-edge techniques
Evaluate traditional AI/ML and Gen-AI based applications
Design solutions considering scalability, performance, and maintainability
Provide technical guidance and mentorship to junior team members
Work with stakeholders to understand requirements and translate into technical solutions
Collaborate with cross-functional teams
Drive continuous improvement and innovation

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive benefits suite supporting physical, financial and emotional wellbeing
Career development programs

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

Machine Learning Engineer - LLMs & Generative AI

Truveta is the world’s first health provider led data platform with a vision of ...

Location

United States , Seattle

Salary:

155000.00 - 175000.00 USD / Year

Truveta

Expiration Date

Until further notice

Requirements

6+ years of experience in software engineering or machine learning (3+ years with a PhD)
Experience designing and training LLMs or large-scale generative models (e.g., GPT, PaLM, LLaMA, Claude, Gemma)
Deep expertise in NLP, sequence modeling, and transformer architectures
Proficient in Python and ML libraries such as PyTorch or TensorFlow
strong engineering skills in building scalable ML pipelines
Experience with RL-based fine-tuning (e.g., Reinforcement Learning from Human Feedback) and evaluation of generative systems
Proven ability to lead technical projects and collaborate across teams
Bachelor's degree in Computer Science, Engineering, or a related technical field

Job Responsibility

Lead the development, training, and deployment of large language and multimodal foundation models tailored to clinical and biomedical domains
apply and refine state-of-the-art techniques such as supervised fine-tuning (SFT), reinforcement learning-based methods (e.g., RLHF, RLVR), parameter-efficient fine-tuning (PEFT), prompt tuning, and retrieval-augmented generation (RAG)
Collaborate cross-functionally with researchers, clinicians, and engineers to design ML-driven solutions that improve healthcare delivery and outcomes
Build scalable infrastructure for distributed training of large models (TPU/GPU clusters, multi-node orchestration)
Design and evaluate models for robustness, bias mitigation, factual consistency, and explainability in healthcare contexts
Stay current with the latest research in generative AI and contribute back to the community through publications and open-source initiatives

What we offer

Interesting and meaningful work for every career stage
Great benefits package
Comprehensive benefits with strong medical, dental and vision insurance plans
401K plan
Professional development & training opportunities for continuous learning
Work/life autonomy via flexible work hours and flexible paid time off
Generous parental leave
Regular team activities (virtual and in-person)
Additional compensation such as incentive pay and stock options

Fulltime

AI Research Engineer, Reinforcement Learning

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:
February 14, 2026

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Thesis project: reinforcement learning environments for ai agents