Remote jobs in the United States

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Added 3 hours ago
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Senior Software Engineer - Backend & AI Infra
CVector - Industrial AI
Remote, United States
- $125,000 to $150,000 USD / year
As a Senior Software Engineer - Backend & AI Infra focus, you will play a critical role in evolving CVector’s core backend platform. You will work on time-series data systems, AI-assisted…
Added 15 hours ago
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Applied AI/ML Engineer
Boundless Networks, Inc.
Remote, United States
- $175,000 to $250,000 USD / year
Boundless is coordinating GPU compute at scale and building toward becoming a leader in AI. As an Applied AI/ML Engineer, you'll ship AI-powered products end-to-end on top of our growing…
Added 2 days ago
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Senior Machine Learning Engineer, Agentic Evals and Self-Improvement (Nova)
Iterable
Remote, United States
- $150,000 to $250,000 USD / year
As a Senior Machine Learning Engineer on Nova, you'll lead evaluation and automatic optimization for Nova's models and agents. That means measuring how they perform, finding where they…
Added 2 days ago
Research Engineer
Gauntlet
Remote, United States
Experience building LLM evaluation pipelines, benchmarks, reinforcement learning environments or model testing infrastructure.
Added 2 days ago
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Software Engineer, ML Workload Platform
Cohere
Remote, United States
- $200,000 to $325,000 USD / year
You will build the platform that runs training, evaluation, and reinforcement-learning workloads: job lifecycle, scheduling, workload networking, and the storage those jobs depend on. The…
Added 2 days ago
Software Engineer
Turing
Remote, United States
…works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering,…
Added 3 days ago
Senior Machine Learning Engineer I, Inventory
Etsy, Inc.
Remote, United States
Etsy is hiring a Senior Machine Learning Engineer to join the Inventory team. Our team develops custom machine-learning models that can drive product vision and customer impact. We’re a…
Added 3 days ago
Staff ML Engineer - Embodied AI Scaling Foundations
General Motors LLC
Remote, United States
Apply methods such as self-supervised pre-training, imitation learning, reinforcement learning, and foundation-model fine-tuning to driving behavior, trajectory generation, and perception…
Added 3 days ago
Software Engineer, AI/ML
T2S Solutions
Remote, United States
Reinforcement learning techniques, Both Agentic AI (using reprompting) and classical agents
Added 3 days ago
Global Sales Coach
ServiceNow
Remote, United States
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…
Added 3 days ago
Global Sales Coach
ServiceNow
Remote, United States
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…
Added 4 days ago
CO
Lead Software Engineer
Connections Outsourcing
Remote, United States
- $180,000 to $255,000 USD / year
Work with GraphQL APIs, reinforcement learning models, and real-world data pipelines to drive patient outcomes.
Added 4 days ago
AI/ML Engineer Internship
Metasys
Remote, United States
Model Optimization: Implement techniques for agent improvement, including fine-tuning of LLM models and applying concepts from Reinforcement Learning for optimal decision-making.
Added 4 days ago
AI Engineer (Active IRS MBI clearance)
Mission Bridge Partners
Remote, United States
Explore and implement advanced AI techniques, including reinforcement learning from human feedback (RLHF), natural language processing (NLP), and model optimization.
Added 4 days ago
AI Research Engineer (Agentic Reinforcement Learning)
Jobgether
Remote, United States
…applications and next steps. Our partner is looking for an AI Research Engineer (Agentic Reinforcement Learning) based in United…
Added 5 days ago
Senior AI Engineer (REMOTE)
EnableComp
Remote, United States
The Senior AI Engineer is a hands-on individual contributor who builds, trains, and evaluates machine learning models. The role combines knowledge engineering and data analysis with applied…
Added 6 days ago
Senior AI Systems and Algorithms Engineer
NVIDIA USA
Remote, United States
NVIDIA is seeking a Senior GenAI Algorithms Engineer to advance the state of the art in foundation model development, training, and deployment. You will work at the intersection of…
Added 7 days ago
Research Engineer / Scientist, Pre-training
Anthropic
Remote, United States
Knowledge of reinforcement learning techniques
Added 9 days ago
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Research Engineer / Scientist, Reinforcement Learning
Harvey
Remote, United States
- $230,000 to $450,000 USD / year
Added 9 days ago
Machine Learning / Robotics Engineer (Simulation)
Marvik
Remote, United States
At Marvik, we’re looking for a Machine Learning or Robotics Engineer who has spent real time in simulation and wants to see that work leave it. You’ll join a project with a top-tier global…
Added 10 days ago
A/AI Research Engineer Asc - E1
Lockheed Martin
Remote, United States
regression, classification, natural language processing, deep learning, anomaly detection, reinforcement learning.
Added 10 days ago
Senior Software Architect, AI Systems and Networking
NVIDIA USA
Remote, United States
Background of Reinforcement Learning systems.
Added 11 days ago
Senior AI Developer
Robots and Pencils
Remote, United States
Reinforcement learning (GRPO or PPO style) for ranking and reasoning. The analysis calls this a named requirement, not a nice-to-have.
Added 13 days ago
Reinforcement Learning Engineer
Bugcrowd
Remote, United States
…autonomous cybersecurity by building authentic, verifiable reinforcement learning environments for world-leading foundational AI companies. As a Reinforcement Learning Engineer specializing…
Added 16 days ago
Senior Research Infrastructure Engineer
HUD
Remote, United States
- Working knowledge of reinforcement learning, including environments, rollouts, reward signals, and evaluation workflows

Turing

Software Engineer

Remote, United States

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Job details

Posting language: English
Posted: Nov 6, 2026

Original job description

About Turing

Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com.

Software Engineer

We build the infrastructure that frontier AI labs use to evaluate coding agents and language models: benchmark datasets, agent evaluation runs at scale, and automated task quality checks. You would own features across the stack, from the data model and background jobs to the screens our users work in every day.

This is a role for an experienced engineer who works independently, makes sound tradeoffs, and turns a loosely defined request into something shipped, tested, and safe to leave alone.

What you will do

Design and ship features end to end: data model, API, background workers, and the UI when the change needs it.
Build and improve how agents and models are evaluated: running trials in sandboxed environments, scoring results, and turning thousands of runs into results people can trust.
Improve how benchmark tasks are quality-checked: verifiers, rubric-based and LLM-as-a-judge grading, and deciding whether a task is clear, solvable, and fair to score.
Integrate new models, agents, and benchmarks in a way that generalizes, without a special case for each one.
Keep the system fast and reliable as usage grows: efficient queries, safe migrations, and concurrency that holds up under load.
Review teammates’ pull requests against our engineering guidelines and help keep the codebase consistent.

What you bring

5+ years building and operating production backend systems, with ownership of at least one service from design through on-call.
Bachelor’s degree or higher in Software Engineering, Computer Science, or a related field.
Strong Python and experience with Django (or a similar framework), PostgreSQL, and a task queue such as Celery. What matters most is having run a real system, not knowing a particular framework.
Hands-on experience in LLM evaluation, beyond calling a model API. You understand how a benchmark task is built, how an agent trial is scored, and how results are aggregated and compared. Experience with Harbor, Terminal-Bench, SWE-bench, Inspect, or a similar harness is a strong plus.
Judgment about task quality. You can spot ambiguous instructions, weak or gameable verifiers, leaked answers, and checks that pass for the wrong reason.
Good tradeoffs. You reach for the smallest design that solves the problem, extend what already exists before adding something new, and can explain what you chose not to build.
Ownership. You take a fuzzy request, find the relevant code, ask questions only when the answer changes the design, and finish the job, including migrations, tests, and edge cases users will hit.
Quick adoption of team conventions. You read the written guidelines and your first pull requests already match them in naming, structure, tests, and error handling.
Comfort with a TypeScript and React frontend when a change is visible there. You don’t need to be a frontend specialist.
Clear writing. Your pull request descriptions and design notes explain why, not just what.

Nice to have

Experience running agents in sandboxed or containerized environments (Docker, Kubernetes, or cloud sandboxes such as Modal or Daytona).
Experience with LLM-as-a-judge or rubric-based grading, and with reducing judge bias and noise.
Familiarity with coding agents such as Claude Code, Codex, or OpenHands, and with MCP.
Experience with distributed job scheduling, concurrency limits, or database locking at scale.
Contributions to open-source evaluation or infrastructure projects.

How we work

Written engineering guidelines, applied consistently, with the same review bar for everyone.
Business logic lives in services. Hot paths stay cheap. Lint and tests pass before a pull request is ready.
The same vocabulary in the code, the API, and the UI.
We prefer deleting code to adding it, and simple designs to clever ones.

A strong first month looks like several changes merged with light review, and one area of the system you can change confidently without a guide.

Compensation: $xxx,000 - $xxx,000 Base Salary + Equity Values

We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.

Advantages of joining Turing

Work at the frontier of AI, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation, with the speed, ownership, and impact of a startup.

Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

For applicants from the European Union, please review Turing's GDPR notice here.

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