Reinforcement learning intern Jobs

New

PhD Autonomy Engineer Intern - Planning & Controls (Reinforcement Learning)

Skydio builds the world’s most advanced autonomous drones used across inspection...

Location

Switzerland , Zurich

Salary:

50.00 EUR / Hour

Skydio

Expiration Date

Until further notice

Requirements

PhD student in Robotics, Machine Learning, Controls, or related field
Strong fundamentals in RL, control theory, and motion planning
comfort with safety/robustness concepts
Proficient in Python (PyTorch/JAX/Ray RLlib) and at least one of C++ or CUDA
Hands-on experience with robotics simulation (Isaac Lab/MuJoCo/PyBullet) and sim2real techniques
Experience training/deploying policies for navigation, manipulation, or locomotion on real robots or autonomous vehicles

Job Responsibility

Develop and deploy reinforcement learning (and adjacent policy-learning methods) that make Skydio aircraft plan, navigate, and control themselves more intelligently—safely, reliably, and efficiently—across our ecosystem: handheld apps, ground control, cloud autonomy services, and fleet workflows
Navigation & avoidance in the wild: Train policies that adapt online to cluttered 3D scenes (forests, bridges, urban canyons), complementing our geometric stack for robust obstacle avoidance and dynamic goal-seeking
RL-augmented planning: Fuse learned cost shaping / value functions with trajectory optimization for smooth, agile flight with tight safety envelopes and mission constraints
Sim → Real at scale: Build scalable datasets and training loops with Isaac Lab, domain randomization, residual learning, and safety filters
validate on real drones weekly
Human-in-the-loop shared control: Learn assistive policies that blend pilot intent, autonomy priors, and uncertainty-aware behaviors for intuitive control handoffs
Fleet & multi-agent: Explore decentralized coordination for coverage, pursuit, and collaborative mapping with minimal comms

New

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

Machine Learning Research Associate

The Machine Learning research team at Hewlett Packard Labs seeks highly motivate...

Location

United States , Milpitas

Salary:

43.27 - 93.15 USD / Hour

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Pursuing a Ph.D. degree (with significant research and innovation experience) in a relevant discipline (e.g. machine learning, computer science, electrical engineering, statistics, etc.)
Track record of world-class innovative contributions and ideas in machine learning
Experience in deep learning, LLM, Agentic AI, and reinforcement learning research
Experience in developing deep learning software with high proficiency in data structures and algorithms
Experience in Machine Learning frameworks like PyTorch - required
Strong programming skills and experience with Python
Software development experience in Deep Learning, GPU acceleration, and Model Optimization
Demonstrated effective communication and collaboration skills
Demonstrated ability for original research papers published in top-tier conferences or journals.

Job Responsibility

Provide thought leadership and technical influence both internally and externally to HPE
Work on cutting-edge machine learning research focusing on Large Language Models, Agentic AI, and Reinforcement Learning
Contribute along the full range from initial novel ideas to design, development, implementation, evaluation, and technology transfer
Publish in top AI conferences and workshops, including NeurIPS, AAAI, and ICML.

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Machine Learning Research Scientist

This role focuses on cutting-edge research and development in Artificial Intelli...

Location

United States , Milpitas

Salary:

117500.00 - 270000.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Electrical Engineering, or related fields focusing on Machine Learning for the dissertation
extensive experience in deep learning research, preferably in Large Language Models or Reinforcement Learning
experience developing applications with deep learning frameworks like PyTorch with a high software proficiency
strong programming skills in Python, data structures, and algorithms are required
experience with ML model optimization, GPU acceleration, heterogeneous computation, system software, and performance optimization desired
experience in Python Web Frameworks – Django, Flask - a plus but not required.

Job Responsibility

conducting research, developing solutions, and creating intellectual property in emerging fields like reinforcement learning, LLMs, digital twins, clean energy, data center optimization, and sustainability
developing advanced technologies for analysis, optimization, time series forecasting, uncertainty quantification, and control
providing thought leadership, collaborating internally and externally, and contributing to HPE’s strategy by identifying emerging technologies
publishing in top conferences like NeurIPS, AAAI, and ACL
developing patent applications
software development, GPU acceleration, model optimization, and real-time data streaming to create robust AI solutions for real-world use cases.

What we offer

a competitive salary and extensive social benefits
diverse and dynamic work environment
work-life balance and support for career development
health and wellbeing programs
personal and professional development programs
diversity, inclusion, and belonging initiatives.

Fulltime

Engineering Director

We are seeking a seasoned Engineering Director who thrives in challenging and fa...

Location

Puerto Rico , Aguadilla

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Significant work experience as a director or similar position working across multiple stakeholder organizations, with at least 10+ years of people leadership experience specific to SW and Cloud engineering
Solid experience leading SW development across storage, networking, on-prem, and SaaS is a must
Experience in setting up geographically distributed sites
Must have a strong background in software development lifecycle including cloud infrastructure
Familiarity with agile methodologies and tools like JIRA
Prior experience in cloud product development and deployments
end to end ownership and accountability
Solid understanding of fundamental AI and machine learning concepts, including supervised and unsupervised learning, deep learning, reinforcement learning, natural language processing, computer vision, and statistical modeling
Extensive business acumen, technical knowledge, and industry experience encompassing one or more engineering, technology, and product domains
Demonstrated abilities to drive transformation across a business with exceptional skills in the management of change

Job Responsibility

Oversee the Puerto Rico Site daily operations, strategic planning and cross-functional team leadership for Hybrid Cloud
Recruit, mentor, and manage teams of AI/ML engineers, QA Engineers, Design Engineers and innovation specialists to deliver cutting-edge solutions
Continuously evaluate new tools, platforms, and frameworks in AI/ML to drive competitive advantage and operational efficiency
Ensure alignment with corporate goals while fostering a high-performance culture, operational efficiency, and employee engagement
Lead the development and execution of AI/ML strategies that align with business goals and drive innovation across products, services, or operations
Create strategic and tactical operations and resource plans, goals, and priorities for assigned organization based on business and technology roadmap and functional objectives
Engage with various senior leaders across the organization, program managers, R&D, support, Quality, product managers, technical leaders and executives to communicate program status, escalate issues, and guide and influence strategic decision-making
Manage senior relationships and escalated issues with outsourced partners and suppliers, including setting expectations regarding deliverables, product quality, schedules, and costs
ensures that organization is effectively leveraging outsourced resources
Identify opportunities for and drive organizational initiatives and programs to support business process improvements and cost reductions

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Distinguished Technologist, Deep Learning

Joining our HPE Hybrid Cloud team and working as part of our OpsRamp team is a c...

Location

United States , San Jose

Salary:

164500.00 - 398500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

15+ years of relevant experience in the industry delivering technical and business strategy at an advanced/strategist level
Master's, or PhD degree in Computer Science, Information Systems, Engineering, or equivalent
At least 4 years of hands-on expertise in defining, building, training and / or optimizing foundational deep learning models at scale in PyTorch, HF and other ML frameworks and libraries
Experience and/or deep understanding in various deep learning architectures like CNNs, GNNs, Transformers, Reinforcement Learning etc. is a strong advantage
Strong hands-on experience/understanding in pre-training, fine-tuning, distilling, aligning open-source large language models and have them complement the in-house foundational models
Hands-on experience developing multi-agent applications around a mixture of in-house and open-source models while leveraging latest in RAG and Prompt Engineering tooling techniques
Strong customer focus and obsession with improving service availability/performance and user experience/consumption using measurable SRE metrics
Must have a track record of working alongside other engineering teams architecting, building, and deploying mission-critical, highly distributed, large-scale SaaS applications
Must have strong knowledge of application failure modes, resiliency patterns, and techniques to enable robust, self-healing architecture
Effective technical leadership skills to influence diverse groups to move toward common goals/strategies

Job Responsibility

Oversee build of OpsRamp’s CoPilot for Autonomous Operations for the Hybrid Cloud
Understand latest in GenAI/ML for ITOM
Understand cloud-native architecture concepts and have knowledge of best practices for high availability, scalability, resilience, performance, and security requirements in the cloud
Act as a cross-functional product and technical expert for GenAI within engineering with close working relationships with customers, product management, support, and marketing supporting edge-to-cloud services offering
Provides consultation, design input, and feedback for product development and design reviews across multiple organizations and architectures
Help transition proof-of-concept implementations into R&D teams to accelerate new product delivery
Creates technical content such as designs, specifications, and initial software implementations
Guides and mentors less-experienced staff members to set an example of software systems design and development innovation and excellence, helping to grow engineers into more senior technical roles
Collect product feedback from field interactions to provide input into Engineering and Product Management to influence product roadmap direction
Maintain a high level of knowledge of OpsRamp SaaS product and product road maps, as well as that of the competition and prospective strategic partners

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Distinguished Technologist, Cloud Development (AI/ML)

Joining our HPE Hybrid Cloud team and working as part of our OpsRamp team is a c...

Location

United States , San Jose

Salary:

164500.00 - 398500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

15+ years of relevant experience in the industry delivering technical and business strategy at an advanced/strategist level
Master's, or PhD degree in Computer Science, Information Systems, Engineering, or equivalent
At least 4 years of hands-on expertise in defining, building, training and / or optimizing foundational deep learning models at scale in PyTorch, HF and other ML frameworks and libraries
Experience and/or deep understanding in various deep learning architectures like CNNs, GNNs, Transformers, Reinforcement Learning etc. is a strong advantage
Strong hands-on experience/understanding in pre-training, fine-tuning, distilling, aligning open-source large language models and have them complement the in-house foundational models
Hands-on experience developing multi-agent applications around a mixture of in-house and open-source models while leveraging latest in RAG and Prompt Engineering tooling techniques
Strong customer focus and obsession with improving service availability/performance and user experience/consumption using measurable SRE metrics
Must have a track record of working alongside other engineering teams architecting, building, and deploying mission-critical, highly distributed, large-scale SaaS applications
Must have strong knowledge of application failure modes, resiliency patterns, and techniques to enable robust, self-healing architecture
Effective technical leadership skills to influence diverse groups to move toward common goals/strategies

Job Responsibility

Lead strategy and innovation across OpsRamp’s Intelligent Observability portfolio
Champion HPE OpsRamp’s position with HPE customers and GTM partners externally and HPE internal cross-functional stakeholders
Drive technical strategy for emerging GenAI trends across Hybrid Observability and AIOps for cloud-scale modern applications
Design and introduce new products to the market
Provide consultation, design input, and feedback for product development and design reviews
Transition proof-of-concept implementations into R&D teams to accelerate new product delivery
Guide and mentor less-experienced staff members.

What we offer

Health and wellbeing benefits
Career development programs
Diversity, inclusion, and belonging initiatives.

Fulltime

New

Senior ML Engineer

As a Senior ML Engineer at Provectus, you'll be responsible for designing, devel...

Location

Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

ML Fundamentals: supervised, unsupervised, and reinforcement learning
Model Development: feature engineering, model training, evaluation, hyperparameter tuning, and validation
ML Frameworks: classical ML libraries, TensorFlow, PyTorch, or similar frameworks
Deep Learning: CNNs, RNNs, Transformers
LLM Applications: Experience building production LLM-based applications
Prompt Engineering: Ability to design effective prompts and chain-of-thought strategies
RAG Systems: Experience building retrieval-augmented generation architectures
Vector Databases: Familiarity with embedding models and vector search
LLM Evaluation: Experience with evaluation metrics and techniques for LLM outputs
Python: Advanced proficiency in Python for ML applications

Job Responsibility

Design and implement end-to-end ML solutions from experimentation to production
Build scalable ML pipelines and infrastructure
Optimize model performance, efficiency, and reliability
Write clean, maintainable, production-quality code
Conduct rigorous experimentation and model evaluation
Troubleshoot and resolve complex technical challenges
Mentor junior and mid-level ML engineers
Conduct code reviews and provide constructive feedback
Share knowledge through documentation, presentations, and workshops
Collaborate with cross-functional teams (DevOps, Data Engineering, SAs)

Reinforcement learning intern

Enchanted Tools

Location:
France, Paris

Category:
Research and Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 08, 2025

Looking for more opportunities? Search for other job offers that match your skills and interests.

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Reinforcement learning intern

Enchanted Tools

Location:France, Paris

Category:Research and Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:December 08, 2025

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Senior ML Engineer

Location:
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Job Posted:
December 08, 2025