reinforcement learning engineer

Mosaic People Solutions on Behalf of Client

About the Opportunity A venture-backed medical device company is developing a novel therapy platform for treating complex cardiac disorders.The company has demonstrated promising early results and is now advancing toward a clinically deployable system. This is a rare opportunity to join a highly technical, mission-driven team working at the intersection of machine learning, control systems, and human physiology.Role OverviewThis role will lead the development of an adaptive, reinforcement learning&ndash;based control system within a dynamic and partially observable biological environment.You will work on a complex sequential decision-making problem, where the system must interpret high-dimensional physiological signals, predict outcomes of interventions, and continuously optimize performance in real time.The role includes both simulation-based development and collaboration with experimental teams to translate algorithms into real-world applications.Key Responsibilities<ul><li>Design and implement reinforcement learning algorithms for adaptive control</li><li>Develop state representations and reward functions for complex physiological systems</li><li>Build and evaluate model-based, offline, or constrained RL approaches</li><li>Utilize simulation environments to train, test, and validate algorithms</li><li>Develop signal processing pipelines for time-series physiological data</li><li>Apply control theory principles to ensure system stability and safety</li><li>Partner cross-functionally with engineering and research teams to support system development and validation</li></ul>Required Qualifications<ul><li>MS or PhD in Electrical Engineering, Computer Science, Biomedical Engineering, or related field</li><li>Strong expertise in reinforcement learning and/or control systems</li><li>Experience with Python (e.g., PyTorch, TensorFlow)</li><li>Background in signal processing and time-series analysis</li><li>Experience working with complex, dynamic systems</li></ul>Preferred Qualifications<ul><li>Experience applying ML/RL to physical or safety-critical systems (e.g., robotics, autonomous systems)</li><li>Exposure to healthcare, medical devices, or physiological data</li><li>Familiarity with optimization methods (e.g., Bayesian optimization, evolutionary algorithms)</li><li>Understanding of system validation, robustness, and safety considerations</li></ul>Pay: From $100,000.00 per yearBenefits:<ul><li>Health insurance</li></ul>Work Location: In person

AI / Reinforcement Learning Engineer

Skild AI

<div>
 
 Company Overview
 
 
 At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.
 
 
 Position Overview
 
 
 We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and optimizing these models to perform efficiently in real-world robotic environments. This will require close collaboration with our robotics, research, and engineering team. Your work will directly impact the development of intelligent, adaptable robots capable of learning and performing complex tasks autonomously.
 
 
 Responsibilities
 
 <ul>
 <li>
 Develop and implement state-of-the-art reinforcement learning algorithms for robotic applications.
 </li>
 <li>
 Design and conduct experiments to train RL models and conduct real-world tests.
 </li>
 <li>
 Collaborate closely with researchers to explore novel methods of scaling up reinforcement learning model training.
 </li>
 <li>
 Communicate effectively with inference, application, and deployment engineers to integrate RL models into robotic systems and iterate on methods to enable robust deployment.
 </li>
 <li>
 Analyze and interpret experimental results, iterating on model design to achieve desired performance.
 </li>
 <li>
 Stay up-to-date with the latest research and advancements in reinforcement learning.
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
 </li>
 <li>
 Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
 </li>
 <li>
 Deep understanding and practical experience with various reinforcement learning algorithms and techniques (model-free, model-based, multi-task, hierarchical, multi-agent, etc.).
 </li>
 <li>
 Strong background in algorithms, data structures, and software engineering principles.
 </li>
 <li>
 Experience with physics simulation engines and tools for training RL.
 </li>
 <li>
 Deep understanding of state-of-the-art machine learning techniques and models.
 </li>
 <li>
 Extensive industry experience with reinforcement learning and robotic systems.
 </li>
 </ul>
 
 &nbsp;
 
 
 Base Salary Range: $100,000 USD - $300,000 USD
 
</div>

Machine Learning Engineer

Sigma Contracting & Trading W.l.l

We are seeking a highly competent Structural Technical Engineer with strong expertise in reinforcement detailing, Bar Bending Schedule (BBS), and structural coordination.The ideal candidate will be responsible for preparing, reviewing, and coordinating structural engineering deliverables including shop drawings, rebar detailing, and technical submissions, ensuring full compliance with project specifications and international standards.Key Responsibilities<ul><li>Prepare, review, and finalize structural shop drawings and rebar detailing in line with approved IFC drawings.</li><li>Develop and verify Bar Bending Schedules (BBS) with high accuracy and coordination.</li><li>Ensure all submissions comply with QCS, BS/EN, ACI codes, and project specifications.</li><li>Coordinate with consultants, site teams, and subcontractors for technical clarifications and approvals.</li><li>Review structural drawings for constructability, conflicts, and value engineering opportunities.</li><li>Provide technical support to site teams during execution (reinforcement, concrete works, etc.).</li><li>Prepare and respond to RFIs, technical submittals, and compliance statements.</li><li>Liaise with Quantity Surveyors for quantity take-offs and variation support.</li><li>Monitor and track approval status for drawings, RFIs, and submittals.</li><li>Guide and supervise structural draftsmen to ensure high-quality deliverables.</li><li>Coordinate with suppliers for material approvals and technical documentation.</li></ul>Key Requirements<ul><li>Strong experience in structural rebar detailing and BBS preparation.</li><li>Proficiency in detailing software such as:</li><li>CADS RC</li><li>ASD</li><li>RGS</li><li>ArmaCAD</li><li>or equivalent</li><li>Excellent knowledge of reinforcement detailing standards and best practices.</li><li>Ability to produce accurate, coordinated, and construction-ready drawings.</li><li>Strong understanding of structural engineering principles and site execution.</li><li>Experience in villa and building construction projects is preferred.</li></ul>Qualifications &amp; Experience<ul><li>Bachelor&rsquo;s Degree in Civil / Structural Engineering</li><li>Minimum 8&ndash;12 years of experience in structural technical office or similar role</li><li>Professional certification (e.g., UPDA/MMUP) is an advantage</li></ul>Mandatory Requirements (Qatar)<ul><li>Must be currently available in Qatar</li><li>Valid QID (Qatar ID) required</li><li>NOC (No Objection Certificate) for transfer is mandatory</li></ul>Skills &amp; Competencies<ul><li>Strong technical and analytical skills</li><li>Excellent coordination and communication abilities</li><li>Ability to manage deadlines and multiple priorities</li><li>High attention to detail and quality</li></ul>How to ApplyQualified candidates are invited to submit their CVs detailing their experience and suitability for the role to:m.kumar@sigmactc.com p.yadav@sigmactc.com WhatsApp: +974 66990741Subject Line: Structural Technical Engineer ApplicationWork Location: In person

Structural Technical Engineer

HAJI HASSAN GROUP

Production Engineer
 
Production Engineer
 
Nationality: Open
 
Experience level: 3–5 years in production engineering with minimum 5 years of experience in steel fabrication / cut & bend industry.
 
Skills: 
Strong knowledge of rebar processing, cutting and bending machinery, and production workflows.
 Ability to plan production schedules, allocate resources, and monitor KPIs for efficiency.
 Strong coordination skills with QA/QC, maintenance, logistics, and focus on quality and safety.
 
Qualifications: 
Diploma in Engineering (Civil / Mechanical or related field); Bachelor’s Degree preferred.
 Hands-on experience in steel reinforcement and rebar processing operations.
 Good understanding of production reporting, material control, and HSE practices.

Production Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Unlock the Future with Amazon Science! 
 
Calling all visionary minds passionate about the transformative power of machine learning! Amazon is seeking boundary-pushing graduate student scientists who can turn revolutionary theory into awe-inspiring reality. Join our team of visionary scientists and embark on a journey to revolutionize the field by harnessing the power of cutting-edge techniques in bayesian optimization, time series, multi-armed bandits and more.
 
 
At Amazon, we don't just talk about innovation &ndash; we live and breathe it. You'll conducting research into the theory and application of deep reinforcement learning. You will work on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry. You will propose and deploy solutions that will likely draw from a range of scientific areas such as supervised, semi-supervised and unsupervised learning, reinforcement learning, advanced statistical modeling, and graph models. 
 
Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated. 
 
Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology. 
 
Amazon has positions available for Machine Learning Applied Science Internships in, but not limited to Arlington, VA; Bellevue, WA; Boston, MA; New York, NY; Palo Alto, CA; San Diego, CA; Santa Clara, CA; Seattle, WA. 
 
Key job responsibilities 
We are particularly interested in candidates with expertise in: Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep Learning, Predictive Modeling
 
 
In this role, you will work alongside global experts to develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of Reinforcement Learning and Optimization within Machine Learning. You will tackle challenging, groundbreaking research problems on production-scale data, with a focus on developing novel RL algorithms and applying them to complex, real-world challenges. 
 
The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment. 
 
A day in the life 
<ul><li>Develop scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.</li><li>Design, development and evaluation of highly innovative ML models for solving complex business problems.</li><li>Research and apply the latest ML techniques and best practices from both academia and industry.</li><li>Think about customers and how to improve the customer delivery experience.</li><li>Use and analytical techniques to create scalable solutions for business problems.
</li></ul></div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>Are enrolled in a PhD</li><li>Can relocate to where the internship is based</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with one or more of the following: Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep Learning, Predictive Modeling</li><li>Experience with one or more of the following: Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep Learning, Predictive Modeling</li><li>Must be available for full-time (40 hours per week) internship for the whole duration of the internship</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Have publications at top-tier peer-reviewed conferences or journals</li><li>Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits. 
USA, OR, Corvallis - 142,800.00 - 193,200.00 USD annually 
USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually 
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually</div>

2026 Fall Applied Science Internship - Reinforcement Learning & Optimization (Machine Learning) - United States, PhD Student Science Recruiting

ARX Group

<div>ARX is a global network of specialists in engineering, design, and architecture. Our team offers 360&deg; consulting, project management, and technical services in: 
 
airports, bridges, buildings, cableways, digital innovation, environment, equipment, geology, geotechnics, hydropower, metros, 
nuclear plants, oil &amp; gas, pipelines, ports, railways, river engineering, roads, traffic, tunnels, and water/wastewater treatment.
With offices across Europe, North and South America, Asia, Africa, and Oceania, our agile task force combines global expertise with local know-how. The result is our uniquely &quot;glocal&quot; approach, which allows us to meet the specific needs of each community while incorporating international best practices. At ARX, smart minds strive for a sustainable future, transforming communities one innovative project at a time.
People are the heart and soul of ARX. We are a home for innovators, visionaries, and experts to develop talents, launch careers, and collaborate with fellow specialists. ARX values individuals. Believing their brilliance and determination will provide solutions to tomorrow's challenges, we welcome professionals who will both benefit from and enrich our team. 
For our office in Cairo, we are looking for: 
Junior BIM Structure Engineer (Egypt) - 100% (m/f)
The Ideal Candidate will be responsible for developing and updating 3D reinforcement models for reinforced concrete structures using BIM tools. The role focuses on accurate reinforcement modeling, coordination, and full data extraction in compliance with structural design, BIM standards, and project requirements, under the supervision of senior engineers. 
Responsibilities<ul><li>
Developing and updating 3D reinforcement models for reinforced concrete structures using BIM tools.</li><li>
Prepare accurate reinforcement modeling, coordination, and full data extraction in compliance with structural design, BIM standards, and project requirements, under the supervision of senior engineers.</li></ul> 
Qualifications<ul><li>
Bachelor's degree in civil engineering.</li><li>
High attention to detail.</li><li>
Ability to work within BIM standards and templates.</li><li>
Good communication with multidisciplinary teams.</li></ul>
We Offer:<ul><li>
Young, motivated and a healthy working environment</li><li>
Interesting opportunities for personal and professional development and growth.</li><li>
External Training Programs within our Global Branches</li><li>
Social and individual health insurance</li></ul> 
 If you would like to join our highly motivated and very successful team, please send us your complete application, along with your updated CV. 
 
Sector: Engineering
Role: Engineering
Will manage other people: No
Job type: Permanent job</div>

Junior BIM Structure Engineer

Finaira

<div>The Senior AI Engineer is a senior individual contributor with deep expertise in a specific domain of AI/ML, responsible for tackling the most complex technical challenges, driving architectural decisions for critical AI components, and setting technical standards. This role requires a blend of advanced research understanding and robust engineering skills to bring cutting-edge AI innovations into production.
The difference you will make<ul><li>
Act as a subject matter expert in one or more specialized AI/ML domains (e.g., Generative AI, Explainable AI, Large Language Models, Reinforcement Learning, Real-time Anomaly Detection).
</li><li>Lead the design and implementation of highly scalable, fault-tolerant, and high-performance AI systems and infrastructure.
</li><li>Evaluate and integrate new AI/ML research, algorithms, and technologies into product development.
</li><li>Drive continuous improvement in MLOps, model monitoring, and model governance frameworks.
</li><li>Provide expert technical guidance and mentorship to other AI Engineer 1s and Associates.
</li><li>Conduct complex performance tuning, optimization, and debugging of AI/ML models and pipelines.
</li><li>Participate in strategic planning for AI initiatives, identifying opportunities for technological advancement.
</li><li>Influence technical direction and architecture discussions within the AI/ML team and across engineering.
</li><li>Lead code reviews for critical components, ensuring architectural integrity, performance, and maintainability.</li></ul> 

Requirements 
Education:
<ul><li>Bachelor&rsquo;s degree or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative field.
</li></ul>Experience:
<ul><li>5+ years of progressive experience in AI/ML engineering, with a proven track record of designing and deploying complex AI systems into production.
</li><li>Demonstrated deep expertise in a specific AI sub-field.</li></ul>
Technical Skills:
<ul><li>Expert-level proficiency in Python and advanced ML/DL frameworks (e.g., PyTorch, TensorFlow, JAX).
</li><li>Extensive experience with cloud-native AI/ML services and distributed computing frameworks (e.g., Spark, Ray).
</li><li>Deep understanding and hands-on experience with MLOps best practices, including CI/CD, model serving, and monitoring in production environments.
</li><li>Strong architectural design skills for complex data pipelines and scalable AI inference systems.
</li><li>Proficiency in system design, distributed systems, and performance optimization.
</li><li>Ability to critically evaluate and apply academic research to real-world problems.</li></ul>
Soft Skills:
<ul><li>Strong ownership and accountability for assigned work.
</li><li>Clear and professional verbal and written communication.
</li><li>Effective time management and task prioritization. o Analytical thinking and problem-solving skills.
</li><li>Ability to work independently, collaborate effectively and mentor junior team members.
</li><li>Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
</li><li>Adaptability and learning agility in a fast-paced environment.
</li><li>Strong attention to detail and a commitment to quality.
</li><li>Receptiveness to feedback and continuous improvement mindset</li></ul>
Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.</div>

Senior AI Engineer

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