Remote jobs in the United States

23 jobs

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Added 4 hours ago
F
Head of Engineering (Frontier Safety)
FAR.AI
Remote, United States
- $225,000 to $350,000 USD / year
Added 5 days ago
I
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 5 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 12 days ago
H
Research Engineer / Scientist, Reinforcement Learning
Harvey
Remote, United States
- $230,000 to $450,000 USD / year
- Own and pursue a research agenda to improve model capability on long-horizon legal reasoning and agentic workflows.
Added 26 days ago
AI
Principal Machine Learning Engineer
AppFolio Inc
Remote, United States
- $264,000 to $363,000 USD / year
We're seeking a Principal Machine Learning Engineer to help define and lead the next generation of AI systems within Realm-X, and to drive AppFolio's long-term autonomous Real Estate…
Added 26 days ago
Staff Research Engineer – Frontier AI, RL & Evaluation
Careerflow.ai
Remote, United States
You will contribute to areas including synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.
Added 27 days ago
AI/ML Engineer
AM.Dirac
Remote, United States
AM.Dirac is an AI-forward quantitative trading firm applying machine learning and programmatic reasoning to public market strategies. We use frontier ML capabilities to automate and scale…
Added 27 days ago
UI Path + Azure AI Engineers
Tiger Analytics Inc.
Remote, United States
The AI Engineer drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to…
Added 27 days ago
UI Path + Azure AI Engineers
Tiger Analytics Inc.
Remote, United States
The AI Engineer drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to…
Added 28 days ago
Senior Architect, Model Performance and Post-Training
NVIDIA USA
Remote, United States
We are looking for a Senior Engineer to drive the performance modeling, evaluation, and post-training of large language models specialized in code generation, software engineering, and…
Added 1 month ago
CG
Applied Reinforcement Learning Engineer
Centific Global Solutions, Inc.
Remote, United States
- $150,000 to $300,000 USD / year
Role: Applied Reinforcement Learning Engineer
Added 1 month ago
Principal, Applied AI Research Engineer, Robotics
Centific Global Solutions, Inc.
Remote, United States
As Lead Research Scientist, you will define and drive Centific’s research agenda in Vision AI, multimodal foundation models, simulation-first learning, agentic AI, and embodied…
Added 1 month ago
CG
Senior Applied Reinforcement Learning Engineer
Centific Global Solutions, Inc.
Remote, United States
- $150,000 to $300,000 USD / year
Role: Senior Applied Reinforcement Learning Engineer
Added 1 month ago
Architect ML - AI Researcher
Quantiphi, Inc.
Remote, United States
Experience with one or more of: reinforcement learning or RLHF, NLP techniques for summarization, extraction, classification, or semantic search, retrieval-augmented generation (RAG)…
Added 1 month ago
Senior Solutions Architect, Robotics Foundation Model Training
NVIDIA USA
Remote, United States
We are looking for a hands-on Applied Engineer with deep expertise in training foundation models at scale and a strong background in robotics. This role operates at the intersection of…
Added 1 month ago
Principal EDA R&D Engineer
NVIDIA USA
Remote, United States
In this position, you will lead research, architecture, and development of core formal verification engines improved by Agentic AI frameworks. You will craft collaborative, autonomous AI…
Added 1 month ago
SA
Staff+ Research Engineer – Recursive Self-Improvement Lead
Sequen AI
Remote, United States
- $350,000 to $400,000 USD / year
STAFF+ RESEARCH ENGINEER - RECURSIVE SELF-IMPROVEMENT LEAD
Added 1 month ago
Senior machine learning engineer
Atlassian
Remote, United States
Senior Machine Learning Engineer - Agentic Search
Added 1 month ago
Senior Machine Learning Engineer, AI Safety
NVIDIA USA
Remote, United States
NVIDIA is seeking talented Deep Learning Scientists / AI Researchers / Machine Learning Engineers to join our rapidly growing AI Safety and Responsibility efforts for Enterprise Risk…
Added 1 month ago
Research Engineer, Knowledge Team
Anthropic
Remote, United States
Performing finetuning and reinforcement learning to teach language models how to interact with new information architectures
Added 1 month ago
Senior AI Engineer
Scout AI
Remote, United States
We're looking for a Senior or Staff AI Engineer to join the Fury Orchestration Team with a deep passion for developing and deploying multimodal foundation models that power autonomous teams…
Added 1 month ago
Senior AI Engineer
Air
Remote, United States
We are seeking an experienced Senior AI Engineer to join our Agentic AI team as we scale our AI capabilities across all levels of the U.S. government.
Added 1 month ago
AI Engineering Intern
Athena US Corp
Remote, United States
The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to improve task delegation workflows, instruction generation, and automate agentic processes. This role will…

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Turing

Software Engineer

Remote, United States

Apply on job-boards.greenhouse.io About employer

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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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Remote jobs in the United States