Explore AI roles · Updated daily

Search curated engineering roles across AI infrastructure, agents, machine learning, and product teams.

Keyboard friendly Save and share roles

Equal opportunity employer Remote-friendly culture Competitive benefits package Machine Learning Engineer - Model Eva...

Fulltime Remote Ai Machine Learning

$208k - $300k · Senior Fully remote

About Upstart Upstart is the leading AI lending marketplace partnering with banks and credit unions to expand access ...

Internship Remote Ai Machine Learning

$141k - $150k · Senior Fully remote

We are seeking a highly skilled Machine Learning Engineer who specializes in leveraging Large Language Models (LLMs) ...

Fulltime Remote Machine Learning Data Science

Fully remote

Who We Are Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to p...

Remote Ai Data Science

Fully remote

The Role Wpromote is hiring a Junior Data Scientist who loves solving problems with data and has strong math, logic, ...

Fulltime Remote Data Science Ai

$88k - $100k · Senior Fully remote

APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login t...

Fulltime Remote Ai Ai Engineer

$61k - $102k · Senior Fully remote

Immediate need for a talented AI/ML Engineer. This is a 12+ months contract opportunity with long-term potential and ...

Contract Remote Ai Engineer Machine Learning

$124k - $145k · Senior Fully remote

Location: Barcelona & Zaragoza, Spain Work Setup: Hybrid (3 days remote, 2 days onsite) Contract Type: Fixed-term (un...

Remote Ai Machine Learning Computer Vision

$49k* · Senior Fully remote

Machine Learning Engineer – NLP & AI Systems Remote (Must be based in USA) $160k - $200k Base About the Company: We’r...

Fulltime Remote Ai Machine Learning

$160k - $200k · Senior Fully remote

AssemblyAI is an AI company - we build powerful models to transcribe and understand audio data, exposed through simpl...

Dev Python Ci Cd Remote

Fully remote

[ Quora is a privately held, "remote-first" company *. This position can be performed remotely from multiple countrie...

Fulltime Remote Ai Ai Engineer

$107k - $152k · Senior Fully remote

Lokalizacja Warszawa/Polska/cała Polska / praca zdalna/- Poziom Lead Języki angielski O pracodawcy Dla naszego Klient...

Remote Ai Ai Engineer Generative Ai

Fully remote

Become a part of our caring community and help us put health first The Principal Data Scientist uses mathematics, sta...

Fulltime Remote Data Science Ai

$172k - $236k · Senior Fully remote

Company Description We Dream. We Do. We Deliver. At Merkle, a dentsu company, we power the experience economy. Whethe...

Fulltime Remote Ai Engineer Data Science

$16k* · Senior Fully remote

Please do not apply if sponsorship is required, unfortunately not available at any point We are seeking 2 x Senior AI...

Remote Ai Ai Engineer

$101k* · Senior Fully remote

Remote Data Science Ai

$130k - $175k · Senior Fully remote

At Hike, we’re building the Rush Gaming Universe 🎮 📲 💰To know more, check out work.hike.inWhat we're looking for 👨‍💻 ...

Remote Full Time Senior Ai

$45k* · Senior Fully remote

COMPANY OVERVIEW Luhdorff and Scalmanini, Consulting Engineers (LSCE) is a small groundwater consulting firm of appro...

Fulltime Remote Data Science Ai

$80k - $120k · Senior Fully remote

Remote Data Science Ai

$124k - $223k · Senior Fully remote

Quantitative Software Engineer: Gauntlet New York City / San Francisco / Los Angeles / Remote Engineering / Full Time...

Quantitative Engineer Dev Remote

$150k - $205k · Senior Fully remote

Selected role

Machine Learning Engineer - Model Evaluations, Public Sector

Scale AI New York, NY, US

$208k - $300k Senior Full-time

Equal opportunity employer

Remote-friendly culture

Competitive benefits package

Machine Learning Engineer - Model Evaluations, Public Sector

The Public Sector ML team at Scale deploys advanced AI systems—including LLMs, agentic models, and multimodal pipelines—into mission-critical government environments. We build evaluation frameworks that ensure these models operate reliably, safely, and effectively under real-world constraints. As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions.

You will:

Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge–based evaluations.

Design test datasets and benchmarks to measure generalization, bias, explainability, and failure modes.

Build evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing.

Conduct comparative analyses of model architectures, training procedures, and evaluation outcomes.

Implement tools for continuous monitoring, regression testing, and quality assurance for ML systems.

Design and execute stress tests and red-teaming workflows to uncover vulnerabilities and edge cases.

Collaborate with operations teams and subject matter experts to produce high-quality evaluation datasets.
This role will require an active security clearance or the ability to obtain a security clearance.

Ideally you’d have:

Experience in computer vision, deep learning, reinforcement learning, or NLP in production settings.

Strong programming skills in Python; experience with TensorFlow or PyTorch.

Background in algorithms, data structures, and object-oriented programming.

Experience with LLM pipelines, simulation environments, or automated evaluation systems.

Ability to convert research insights into measurable evaluation criteria.

Nice to haves:

Graduate degree in CS, ML, or AI.

Cloud experience (AWS, GCP) and model deployment experience.

Experience with LLM evaluation, CV robustness, or RL validation.

Knowledge of interpretability, adversarial robustness, or AI safety frameworks.

Familiarity with ML evaluation frameworks and agentic model design.

Experience in regulated, classified, or mission-critical ML domains.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$208,000—$300,000 USD

$187,000—$270,000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Showing 781–800 of 2,608 AI roles

1 … 38 39 41 42 131

Find your next AI role

Machine Learning Engineer - Model Evaluations, Public Sector

Machine Learning Engineer Intern

Machine Learning Engineer - LLM Evaluation Automation

Data Scientist

Junior Data Scientist

Applied AI Engineer - Radiology AI Lab

AI/ML Engineer

Machine Learning Engineer ( Fixed Term Contract)

NLP Engineer - Remote USA - $160k - $200k Base

Software Engineer Python

AI Engineer New Grad 2025-2026 - Poe (Remote)

Lead AWS AI Engineer

Principal Data Scientist

AI Engineer

Senior AI Engineer

Senior Data Scientist - Fraud Solutions

Senior ML Scientist (Full Time, Remote)

Data Scientist

Field R D Senior Data Scientist - Industrial Focus

Quantitative Software Engineer: Gauntlet