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VP, Business Operations, Technology & National Security
Alloy Therapeutics
Waltham, MA
We are Alloy Therapeutics - a biotechnology ecosystem and Product Development Organization (PDO) empowering the global scientific community to make better medicines together. Through a…
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Customer Engineer IV, Data Management, North America, Google Cloud
Google
Cambridge, MA
…technical questions and roadblocks related to database and application migrations and data back ends for new application development. You will use your expertise and presentation skills to…
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Boston, MA
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Sr Project Manager - AI Data Centers
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Boston, MA
…infrastructure projects. This role is not focused on software development, enterprise IT programs, application implementation, network operations, cloud transformation, or technology…
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Sr. Application Security Engineer
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Boston, MA
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Boston, MA
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Engineer II, Software Assurance, Product Security (Remote)
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Boston, MA
As a Security Engineer II, you will focus on securing our open-source footprint and upstream dependencies. You will perform technical security assessments of GitHub organizations and…
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Senior Product Manager
Acxiom
Boston, MA
Balance client and partner specific implementation requirements with the development of scalable, reusable product capabilities.
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Lead Presales Value Consultant
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Boston, MA
- $160,000 USD / year
As a Value Engineer, you will help prospects and customers understand the business value of UKG products and services. You will use research, interviews, discovery, operational data, and…
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Senior Ethics & Compliance Strategic Program Manager
ServiceNow, Inc.
Boston, MA
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
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Capital One Shopping Tech, Data Engineer 5 (Remote- Eligible)
Capital One
Boston, MA
At least 6 years of experience in application development (Internship experience does not apply)
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Senior Java Full Stack Engineer – Spring Boot & AWS
Cognizant
Boston, MA
- $86,000 to $99,000 USD / year
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Senior .NET Full Stack Engineer with C#
Cognizant
Boston, MA
- $86,000 to $99,000 USD / year
You will be a valued member of the application development team and work collaboratively with architects, product owners, business analysts, quality engineers, and other technology…
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C
Senior Full Stack Engineer – .NET & C#
Cognizant
Boston, MA
- $86,000 to $99,000 USD / year
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Lead AI Engineer
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Wells Fargo is seeking a Lead AI Engineer in Technology as part of Commercial and Corporate & Investment Banking Technology (CCIBT). The primary focus of this group will be to accelerate AI…
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Senior Systems Engineer (ONSITE)
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Experience in systems support to software application and hardware development
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Boston, MA
- $80 to $90 USD / hour
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Added 3 mins ago
Technical Director
Mercer University
Warner Robins, GA
External Applicants: Please upload your resume on the Apply screen. Your application will automatically populate your resume details, and you may verify and update data on the My…
Added 3 mins ago
Senior Computer Scientist
Mercer University
Warner Robins, GA
External Applicants: Please upload your resume on the Apply screen. Your application will automatically populate your resume details, and you may verify and update data on the My…
Added 3 mins ago
Chief Software, Software
Mercer University
Warner Robins, GA
…industry customers. MERC is currently recruiting for a Chief Engineer, Software for its Software and Cyber Directorate. The Chief Engineer will be responsible for the execution of all…
Added 5 mins ago
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Contributing to the development and execution of continuous improvement initiatives to optimize manufacturing processes.

Jobgether

AI Research Engineer (Agentic Reinforcement Learning)

Remote, United States

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Job details

Posting language: English
Posted: Nov 4, 2026

Original job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Research Engineer (Agentic Reinforcement Learning) based in United States.

As an AI Research Engineer specializing in Agentic Reinforcement Learning, you will drive research and innovation in next-generation intelligent systems. You will develop advanced reinforcement learning techniques that improve decision-making, adaptive behavior, and performance across multimodal AI architectures. Working with text, images, audio, and other data modalities, you will help build models capable of solving complex, real-world challenges. Your work will involve designing scalable training infrastructure, optimizing reward mechanisms, and improving the reliability of autonomous AI agents. You will explore cutting-edge approaches involving diffusion-based generative models, autoregressive architectures, and unified multimodal frameworks. Through rigorous experimentation and benchmarking, you will push the boundaries of model performance, efficiency, and generalization. This fully remote opportunity offers the chance to contribute to impactful AI research within a fast-moving, globally distributed technology environment.

Accountabilities

In this role, you will conduct advanced research and develop scalable reinforcement learning systems for multimodal AI applications. Your main responsibilities will include:

• Research and develop reinforcement learning algorithms for multimodal models, including diffusion-based approaches for image generation, autoregressive models for multimodal understanding, and unified architectures integrating multiple modalities.

• Design and implement scalable reinforcement learning infrastructure supporting distributed training across complex multimodal systems.

• Develop and optimize reward modeling strategies to improve training stability, align model behavior with desired outcomes, and prevent reward hacking and related failure modes.

• Create, curate, and maintain multimodal simulation environments and training datasets to support robust model development, evaluation, and benchmarking.

• Design and implement rigorous evaluation protocols to measure model performance, monitor progress against established baselines, and validate research improvements.

• Analyze and optimize policy performance across different modalities by identifying bottlenecks in training, credit assignment, reward optimization, and cross-modal alignment.

• Investigate emerging reinforcement learning paradigms that enable AI agents to learn more effectively from environmental feedback.

• Improve model exploration, decision-making, and adaptive behavior to achieve state-of-the-art performance in dynamic, real-world environments.

• Conduct large-scale experiments and translate empirical findings into practical algorithmic improvements.

• Publish and present research findings at leading international conferences, including ICML, NeurIPS, ICLR, CVPR, ICCV, and ECCV.

Requirements

The ideal candidate combines strong theoretical knowledge of reinforcement learning with hands-on experience developing and optimizing large-scale multimodal AI systems. The following qualifications and technical skills are expected:

• Master's degree in Computer Science or a related discipline. A PhD in Machine Learning, Natural Language Processing, Computer Vision, or a closely related field is preferred.

• Strong track record of AI research, including publications in leading international conferences.

• Demonstrated experience conducting large-scale reinforcement learning experiments in multimodal and vision-centric systems, including online reinforcement learning environments.

• Proven ability to improve domain-specific decision-making and achieve measurable gains in policy performance.

• Deep understanding of reinforcement learning algorithms and optimization techniques applied to vision and multimodal learning.

• Strong knowledge of policy stability, exploration strategies, sample efficiency, and optimization in complex, high-dimensional environments involving images, video, and other modalities.

• Advanced proficiency in PyTorch and modern deep learning frameworks for computer vision and multimodal AI.

• Hands-on experience building end-to-end reinforcement learning pipelines covering simulation, model training, evaluation, and production deployment.

• Ability to address fundamental reinforcement learning challenges, including sample inefficiency, exploration-exploitation trade-offs, and training instability.

• Experience designing robust evaluation frameworks and using empirical research to continuously improve algorithmic performance.

• Established research publication record at top-tier conferences such as ICML, NeurIPS, ICLR, CVPR, ICCV, or ECCV.

• Strong analytical thinking, scientific problem-solving skills, and the ability to translate advanced research into practical AI solutions.

Benefits

• Fully Remote Work: Work remotely from anywhere in the world, with a globally distributed team.

• International Collaboration: Collaborate with talented researchers, engineers, and technology professionals across different countries and disciplines.

• Cutting-Edge AI Research: Work on advanced reinforcement learning, multimodal architectures, generative AI, and next-generation intelligent systems.

• Research and Innovation: Explore new methodologies and contribute to state-of-the-art developments in artificial intelligence.

• Scientific Recognition: Opportunities to publish research and present findings at leading international AI and machine learning conferences.

• Professional Growth: Develop expertise in emerging AI technologies while contributing to challenging, high-impact research initiatives.

• Global Technology Environment: Be part of an ambitious, fast-growing organization working across AI, digital finance, peer-to-peer technology, and other innovative fields.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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More about this job

Skills

Research
Decision making
Computer science
Machine learning
Natural language processing
PyTorch
Deep learning
Analytical skills
Problem solving

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