Remote jobs in the United States

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Added 5 hours ago
Senior Forward Deployed Engineer
Raydar
Remote, United States
- Connect the software to client systems such as CRMs and consumer apps, working with varied incoming data and building the pipelines to move it.
Added 10 hours ago
Director/Sr. Director, Discoverability
Immortals
Remote, United States
We’re building Autonomous Health: a system that uses measurement, scientific evidence, and personalization to help people understand their bodies and make better decisions about their…
Added 17 hours ago
AC
Senior/Staff/Principal AI/ML Engineer - Agentic AI Security
AppGate Cybersecurity, Inc.
Remote, United States
- $180,000 to $300,000 USD / year
We're looking for a AI/ML Engineer (Senior/Staff/Principal) - Agentic AI Security who will design, build, and operationalize the detection algorithms, ML inference pipelines, and risk…
Added 17 hours ago
Remote Lead Software Engineer for a Healthcare Company
Pearl
Remote, United States
…afford them. It is looking for a Founding Senior Full-Stack Engineer to build the products that increase the supply of donated…
Added 17 hours ago
Remote Lead Software Engineer for a Healthcare Company
Pearl
Remote, United States
…afford them. It is looking for a Founding Senior Full-Stack Engineer to build the products that increase the supply of donated…
Added 17 hours ago
Remote Lead Software Engineer for a Healthcare Company
Pearl
Remote, United States
…afford them. It is looking for a Founding Senior Full-Stack Engineer to build the products that increase the supply of donated…
Added 23 hours ago
A
Forward Deployed Engineer (TS/SCI)
Accrete
Remote, United States
- $120,000 to $150,000 USD / year
…of AI technology. At the core of our offerings are AI agents-autonomous systems that analyze multimodal data, generate insights, and make intelligent recommendations. These agents help…
Added 23 hours ago
A
Forward Deployed Engineer (TS/SCI)
Accrete
Remote, United States
- $120,000 to $150,000 USD / year
…of AI technology. At the core of our offerings are AI agents-autonomous systems that analyze multimodal data, generate insights, and make intelligent recommendations. These agents help…
Added 23 hours ago
A
Forward Deployed Engineer (TS/SCI)
Accrete
Remote, United States
- $120,000 to $150,000 USD / year
…of AI technology. At the core of our offerings are AI agents-autonomous systems that analyze multimodal data, generate insights, and make intelligent recommendations. These agents help…
Added 1 day ago
AI / ML Developer
Peraton
Remote, United States
Expertise developing agentic AI systems, including planning, tool‑use, multi‑step reasoning, workflow execution, or autonomous decisioning logic.
Added 1 day ago
Senior Software Engineer, Cloud Platform
Nvidia
Remote, United States
…provisioning to build a multi-tenant infrastructure. As a software engineer, you will work with other software engineers, product architects, and product managers as a collaborative team to…
Added 1 day ago
CU
Part-Time Online Course Facilitator: AI/ML Technology and Architecture
Cornell University
Remote, United States
- Part-time
…pipelines, LLM fine-tuning, retrieval-augmented generation (RAG) systems, AI agents, and AI opportunity and governance…
Added 1 day ago
Senior AI Engineer, AI Safety
NVIDIA USA
Remote, United States
Serving as an AI Engineer on our AI Safety Engineering team, you will have a key and adaptable role in scaling methods to secure and align advanced AI systems. Your early work will center…
Added 1 day ago
Senior Software Support Engineer - Slinky
NVIDIA USA
Remote, United States
We are seeking an expert Senior Support Engineer with a strong background in Kubernetes, Linux systems administration, and technical support. This hybrid role is primarily focused on…
Added 2 days ago
PA
Super SWE - AI Factory
P-1 AI
Remote, United States
- $200,000 to $275,000 USD / year
- Excited by the prospect of building autonomous software engineering systems, not just using AI to write code faster.
Added 2 days ago
Senior Security Firmware Engineer, Data Center Systems
NVIDIA USA
Remote, United States
…foundation for the world's most ambitious AI, robotics, and autonomous systems workloads. Today, we are the AI computing company. NVIDIA Data Center Systems, including DGX, HGX, and MGX…
Added 2 days ago
Senior System Software Engineer - Factory Bringup
NVIDIA USA
Remote, United States
NVIDIA HGX, MGX and DGX systems deliver the world's leading solutions for enterprise AI infrastructure at scale. With their end-to-end performance and flexibility, these systems enable…
Added 2 days ago
Software Engineer III, Cloud Infrastructure
MyFitnessPal
Remote, United States
We are looking for a Senior Software Engineer to join the MyFitnessPal Infrastructure team. As a member of the MyFitnessPal Infrastructure team, you’ll have the opportunity to positively…
Added 2 days ago
GL
Engineer II - Forward Deployed Engineer
GlaxoSmithKline LLC
Remote, United States
- $131,175 to $218,625 USD / year
Operate AI agent workflows for autonomous prototype delivery - orchestrating multi-agent systems as the primary engineering mode.
Added 2 days ago
Senior Software Engineer, Agentic Systems
NVIDIA USA
Remote, United States
We are looking for a Senior Software Engineer to help build NeMo Platform, NVIDIA’s product for developing, evaluating, deploying, and operating AI systems at scale. This role will focus on…
Added 2 days ago
H
Staff Backend Engineer, Internal
Horizon3
Remote, United States
- $229,000 to $270,000 USD / year
As a Staff Backend Engineer on the Internal Attack team, you'll set technical direction for the backend systems that power NodeZero's internal pentesting capabilities, from architecture and…
Added 2 days ago
RU
Technical Lead - Simulation Engineer
Randstad USA
Remote, United States
- $70 to $110 USD / hour
AWS,AI,QA Automation,automated testing,Build Systems,C++,CMake,code generation,containerization,distributed systems,Docker,Generative AI,GPU infrastructure,hardware…
Added 2 days ago
A
Senior Systems Test Engineer
AeroVect
Remote, United States
- $130,000 to $160,000 USD / year
We are seeking a detail-oriented Systems Test Engineer with a passion for autonomy and safety-critical systems to help lead the planning, execution, and analysis of structured testing…
Added 2 days ago
Senior System Safety Engineer
AeroVect
Remote, United States
- Prior background working with autonomous driving systems or mobile robotics.
Added 2 days ago
Developer Relations Lead
Zenrows
Remote, United States
As we continue our rapid expansion, we are now looking for our first Developer Relations Engineer to join us on a permanent basis, make an instant impact and build our DevRel function from…

Closed listing

Bright Vision Technologies

AI Learning Systems Engineer

Remote, United States

This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.Job Title: AI Learning Systems Engineer Location: 100% Remote (Continental United States) Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Experience: 6+ years Salary: $100K- $150K

This opening has closed.

The original listing is kept below for reference.

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Job details

Pay: This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.Job Title: AI Learning Systems Engineer Location: 100% Remote (Continental United States) Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Experience: 6+ years Salary: $100K- $150K
Closing date: Jan 26, 2027
Experience: Experience: 6+ years
Posting language: English
Posted: Oct 28, 2026

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Original job description

Archived listing. The details below describe a past opening.

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.

As we continue to grow, we’re looking for a skilled AI Learning Systems Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology.

Employment Terms & Visa Policy This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies. This role is part of Bright Vision Technologies’ in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies - there is no third-party client, vendor, or implementation partner involved. We do not engage in C2C, 1099, or third-party arrangements for this role.

Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables. No new H1B sponsorship is available for this role.

However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates. For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience.

Job Summary We are looking for an AI Learning Systems Engineer to design, train, and deploy RL-based systems for high-impact decision-making problems where supervised learning alone is insufficient. The role requires deep familiarity with modern reinforcement learning algorithms, simulation environments, reward modeling, and the engineering complexity of training and evaluating policies at scale. The ideal candidate has both research depth and engineering pragmatism, with experience taking RL solutions out of the lab and into production where stability, safety, and ongoing improvement are critical.

Key Responsibilities

Design and implement reinforcement learning solutions for sequential decision-making problems in real and simulated environments.
Develop, calibrate, and maintain simulation environments suitable for large-scale agent training.
Implement and evaluate modern RL algorithms including policy gradient, actor-critic, off-policy, and offline RL methods.
Engineer reward functions and shaping strategies that align agent behavior with desired outcomes and safety constraints.
Apply offline RL and imitation learning techniques where exploration is costly or unsafe.
Use RLHF, DPO, and related techniques for fine-tuning large language models when relevant.
Build scalable training infrastructure for distributed RL, including efficient experience collection and replay systems.
Optimize training stability and sample efficiency through algorithmic and engineering improvements.
Design rigorous evaluation protocols, including out-of-distribution and adversarial test cases.
Implement safety mechanisms such as constraint enforcement, conservative policies, and human-in-the-loop oversight.
Collaborate with applied scientists and product teams to identify high-value RL use cases.
Monitor deployed policies and models in production for drift, regression, and unintended behaviors, building the alerting and dashboards that surface issues before they meaningfully affect users.
Document methodology, design decisions, and operational characteristics for internal stakeholders.
Stay current with RL research and translate promising techniques into production-ready solutions.

Required Qualifications

Master’s or PhD in Computer Science, Machine Learning, or a related field; or equivalent applied experience.
Six or more years of combined RL research and engineering experience.
Strong proficiency in Python and modern deep learning frameworks.
Hands-on experience with at least one major RL library or in-house RL stack.
Solid understanding of probability, optimization, and the theoretical foundations of RL.
Experience designing and tuning reward functions in non-trivial environments.
Familiarity with simulation environments and large-scale experience collection.
Experience training neural network policies on GPU clusters.
Strong written and verbal communication skills.
Track record of shipping or publishing impactful RL work.

Preferred Qualifications

Experience with RLHF for large language models.
Familiarity with multi-agent RL or hierarchical RL.
Exposure to robotics, control systems, or autonomous driving.
Publications in RL or related research venues.
Open-source contributions to RL libraries or environments.

How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to jenny@bvteck.com or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com. We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Bright Vision Technologies is an Equal Opportunity Employer, including Disability/Veterans. Position offered by “No Fee Agency.” Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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