Remote jobs in the United States

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Added 25 mins ago
Forward Deployed Engineer - (East coast based)
CrewAI
Remote, United States
The Forward Deployed Engineer (FDE) at CrewAI is a pivotal, customer-facing role that bridges the gap between our cutting-edge AI technology and our clients' specific needs. We are looking…
Added 6 hours ago
Senior Forward Deployed Engineer
Raydar
Remote, United States
…integration and production launch. This role blends hands-on engineering with solution architecture, delivering end-to-end software for external business users while passing practical…
Added 9 hours ago
Forward Deployed Engineer
True Talent Solutions Partners
Remote, United States
- Five to eight years of experience in forward deployed engineering, applied AI, technical consulting, or a similar hands-on delivery role.
Added 9 hours ago
Senior AI Engineer
TSGUS HCG LLC
Remote, United States
Senior AI Engineer, Agentic Solutions & Workflows
Added 9 hours ago
Forward Deployed Engineer
Clera
Remote, United States
- Experience in forward-deployed engineering, solutions architecture, deployment strategy, or customer-facing data and AI delivery.
Added 18 hours ago
Forward Deployed Engineer
Arkham Technologies
Remote, United States
As a Forward Deployed Engineer, you help drive the AI transformation journey for our customers. You work hands-on across data science, AI architecture, and implementation, partnering…
Added 19 hours ago
TT
Founding Forward Deployed Engineer
True Talent Solutions Partners
Remote, United States
- $187,000 to $225,000 USD / year
- Two to five years of experience as a forward deployed engineer or software engineer, with a track record of shipping production software in a high-bar engineering environment.
Added 21 hours ago
CR
GenAI Forward Deployed Engineer (client facing) - Financial Services
Continuum Resource Network
Remote, United States
- $150,000 to $200,000 USD / year
Ability to engage credibly with both business stakeholders and engineering teams.
Added 21 hours ago
CR
GenAI Forward Deployed Engineer (client facing) - Financial Services
Continuum Resource Network
Remote, United States
- $150,000 to $200,000 USD / year
Ability to engage credibly with both business stakeholders and engineering teams.
Added 1 day ago
A
Forward Deployed Engineer (TS/SCI)
Accrete
Remote, United States
- $120,000 to $150,000 USD / year
The forward deployed engineer sits at the intersection of data strategy and operational delivery of our AI products. Customers often have a strong instinct that their data can help them…
Added 1 day ago
A
Forward Deployed Engineer (TS/SCI)
Accrete
Remote, United States
- $120,000 to $150,000 USD / year
The forward deployed engineer sits at the intersection of data strategy and operational delivery of our AI products. Customers often have a strong instinct that their data can help them…
Added 1 day ago
A
Forward Deployed Engineer (TS/SCI)
Accrete
Remote, United States
- $120,000 to $150,000 USD / year
The forward deployed engineer sits at the intersection of data strategy and operational delivery of our AI products. Customers often have a strong instinct that their data can help them…
Added 1 day ago
C
Founding Forward Deployed Engineer
Clera
Remote, United States
- $180,000 to $250,000 USD / year
- At least 3 years of experience in a technical customer-facing role, such as forward deployed engineering, solutions engineering, or software engineering with substantial customer…
Added 1 day ago
CU
Part-Time Online Course Facilitator: AI/ML Technology and Architecture
Cornell University
Remote, United States
- Part-time
Applied machine learning, from data preparation and feature engineering through training, evaluating, and improving common models such as regression, decision trees, and ensembles.
Added 2 days ago
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Remote, United States
ServiceNow’s Applied AI Forward Deployed Engineering (FDE) team is where bold ideas meet transformative action. We partner with our most strategic customers to shape the future of…
Added 2 days ago
GL
Principal - Forward Deployed Engineer
GlaxoSmithKline LLC
Remote, United States
- $205,425 to $342,375 USD / year
GSK's Enterprise AI team builds AI solutions that prove value fast and scale to production. Forward Deployed Engineering is the front of the Enterprise AI delivery pipeline - proving AI…
Added 2 days ago
Staff - Forward Deployed Engineer
GlaxoSmithKline LLC
Remote, United States
GSK's Enterprise AI team builds AI solutions that prove value fast and scale to production. Forward Deployed Engineering is the front of the Enterprise AI delivery pipeline - proving AI…
Added 2 days ago
PA
Super SWE
P-1 AI
Remote, United States
- $200,000 to $275,000 USD / year
At P-1 AI, we are building an AI engineer agent for the physical world named Archie. We maximize Archie’s anthropomorphism so that he fits seamlessly into existing engineering teams and…
Added 2 days ago
PA
Super SWE - AI Factory
P-1 AI
Remote, United States
- $200,000 to $275,000 USD / year
At P-1 AI, we are building an AI engineer agent for the physical world named Archie. We maximize Archie’s anthropomorphism so that he fits seamlessly into existing engineering teams and…
Added 2 days ago
Marketing Engineer (AI Agents)
Cresta
Remote, United States
Develop, configure, deploy, and optimize AI agents on Cresta's platform for marketing use cases, working alongside our forward deployed engineering team.
Added 2 days ago
AI Growth Engineer
Cresta
Remote, United States
Develop, configure, deploy, and optimize AI agents on Cresta's platform for marketing use cases, working alongside our forward deployed engineering team.
Added 2 days ago
Consultant - R01573317
Brillio
Remote, United States
Added 2 days ago
Lead Forward Deployed Engineer (FDE)
Bounteous
Remote, United States
The Lead Forward Deployed Engineer (FDE) is the senior technical anchor for Bounteous client engagements built on Claude. You embed with client teams, find the workflows where agents change…
Added 2 days ago
Lead Forward Deployed Engineer (FDE) - AI Platforms (ML, LLMs, APIs, ML Ops)
Target Enterprise Inc
Remote, United States
JOIN TARGET AS A LEAD ENGINEER – FORWARD DEPLOYED ENGINEERING - AI PLATFORMS
Added 2 days ago
MC
Applied Forward Deployed Engineer (Post-Sales)
Monte Carlo
Remote, United States
- $140,000 to $180,000 USD / year
We're hiring an Applied Forward Deployed Engineer (Post-Sales) to own the technical side of every new customer from the moment the deal closes until they're live and getting value. You'll…

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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