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 The goal of a Machine Learning Engine...

Fulltime Remote Ai Machine Learning

$208k - $300k · Senior Fully remote

Standort: Berlin / Remote (DACH-Zeitzone) Anstellung: Vollzeit, unbefristet Start: Ab sofort Sprache: Deutsch mutters...

Remote Ai Ai Engineer

Fully remote

Note: The job is a remote job and is open to candidates in USA. SQOR.ai is an AI-native Decision Intelligence platfor...

Co Founder Remote Ai Engineer

$126k - $150k* · Senior Fully remote

Note: The job is a remote job and is open to candidates in USA. DestinationNova is a social impact startup committed ...

Remote Research Unpaid Ai

$121k - $240k* · Senior Fully remote

Responsibilities: Design, build, and deploy end-to-end AI/ML solutions from experimentation to production. Work with ...

Remote Ai Machine Learning Deep Learning

Fully remote

Location: Poland Contract: B2B Salary: 33.000 - 38.000 PLN net B2B How this role works: You will start by building th...

Fulltime Remote Ai Ai Engineer

Fully remote

Company Overview: Arctiq is a leader in professional IT services and managed services across three core Centers of Ex...

Contract Remote Ai Ai Engineer

Fully remote

📍 Hybrid – New York City (open to remote U.S. candidates within commutable distance to NYC) We are hiring on behalf o...

Fulltime Remote Ai Machine Learning

Fully remote

Based in Portugal, Wire IT is your specialized IT consulting partner with 18 years of experience driven by an experie...

Fulltime Remote Ai Ai Engineer

Fully remote

Company: Marsh What can you expect? Mercer Marsh Benefits (MMB) is a leading global consultancy that specializes in e...

Fulltime Remote Ai Ai Engineer

$95k* · Senior Fully remote

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be consid...

Remote Ai Data Science Data Engineer

Fully remote

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. ...

Remote Ai Data Science

$30k* · Senior Fully remote

The Future Talent Program features internships that last up to 12 weeks and will include one or more projects. These ...

Fulltime Remote Ai Data Science

$39k - $105k · Senior Fully remote

À propos de nous Rejoignez Quantlake, une start-up Fintech à la frontière de l'analyse de données et de l'intelligenc...

Internship Remote Machine Learning Data Science

$10k* · Senior Fully remote

Company: Marsh What can you expect? Mercer Marsh Benefits (MMB) is a leading global consultancy that specializes in e...

Fulltime Remote Ai Ai Engineer

$95k* · Senior Fully remote

Years of Experience: 6.0-10.0 Years Machine Learning Engineer (Python Coding with ML Experience) Company: Wipro Locat...

Remote Agentic Ai Generative Ai Machine Learning

$1500k - $2500k · Senior Fully remote

Location: Warsaw/Cracow (hybrid: 1-2 days per week in the office) Contract: B2B Salary: 25.000 - 33.000 PLN net B2B H...

Fulltime Remote Ai Ai Engineer

Fully remote

Quale sarà la tua sfida? Bip ha creato all’interno del proprio Competence Centre “xTech” il più nutrito gruppo di Dat...

Fulltime Remote Ai Machine Learning

Fully remote

Location Remote - USA Employment Type Full time Location Type Remote Department Engineering Compensation $150K – $170...

Fulltime Remote Data Science Ai

$150k - $170k · Senior Fully remote

Company Overview: Pantheon Data (previously known as The Kenific Group, Inc. prior to 2023) is a private, small busin...

Fulltime Remote Machine Learning Nlp

$140k - $180k · Senior Fully remote

Selected role

Machine Learning Engineer, Public Sector

Scale AI New York, NY, US

$208k - $300k Senior Full-time

Equal opportunity employer

Remote-friendly culture

Competitive benefits package

The goal of a Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust internal infrastructure and unique access to massive datasets to deliver improvements to our customers.

Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like Donovan and Thunderforge. Our work spans multiple modalities, with a strong focus on both large language models and computer vision. On the LLM side, we are developing agentic systems that help solve complex operational and planning challenges for government partners. This includes building agent frameworks that integrate with custom retrieval pipelines and production APIs, as well as evaluation tools to benchmark and refine agent behavior. We're also advancing research in areas like reinforcement learning for agentic LLMs, with successful deployment into real-world operational environments. On the computer vision front, we're training advanced models to increase labeling throughput and automate perception tasks. Our efforts include building large-scale fine-tuning pipelines, training models across multiple modalities, and developing generalizable vision foundation models to support a wide range of defense applications.

You will:

Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers.
Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics
Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines
Work with massive datasets to develop both generic models as well as fine tune models for specific products
Build scalable machine learning infrastructure to automate and optimize our ML services
Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations
Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment
This role will require an active security clearance or the ability to obtain a security clearance.

Ideally You’d Have:

Extensive experience using computer vision, deep learning and deep reinforcement Learning, or natural language processing in a production environment
Solid background in algorithms, data structures, and object-oriented programming
Strong programing skills in Python, experience in Tensorflow or PyTorch

Nice to Haves:

Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization
Experience working with cloud platforms (eg. AWS or GCP) and deploying machine learning models in cloud environments
Experience with computer vision, generative AI models, large language models, or agentic systems
Familiarity with ML evaluation frameworks and agentic model design

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 2241–2260 of 2,608 AI roles

1 … 111 112 114 115 131

Find your next AI role

Machine Learning Engineer, Public Sector

Senior Full-Stack Developer / AI Engineer (German speaking)

[Remote] Co-Founder, Senior ML AI Systems Engineer (LLM Optimization, NL2SQL, Agentic Systems, Python Expert) Equity-based role

[Remote] Artificial Intelligence Researcher (Unpaid)

Data Scientist

Staff AI Engineer (LLM)

Data Scientist/AI Engineer

Generative AI Engineer

Senior AI Engineer

Lead AI Engineer

Sr. Solutions Architect - Strategic AI Native

Staff Data Scientist New

2026 Future Talent Program - Natural Language Processing (NLP) and Generative AI Research Intern

Stage Data Scientist - Analyste Quantitatif

Senior AI Engineer

Machine Learning Engineer

Senior AI Engineer (LLM)

Data Scientist

Data Scientist

Senior Machine Learning Engineer

Machine Learning Engineer, Public Sector

Senior Full-Stack Developer / AI Engineer (German speaking)

[Remote] Co-Founder, Senior ML AI Systems Engineer (LLM Optimization, NL2SQL, Agentic Systems, Python Expert) **Equity-based role**

[Remote] Artificial Intelligence Researcher (Unpaid)

Data Scientist

Staff AI Engineer (LLM)

Data Scientist/AI Engineer

Generative AI Engineer

Senior AI Engineer

Lead AI Engineer

Sr. Solutions Architect - Strategic AI Native

Staff Data Scientist New

2026 Future Talent Program - Natural Language Processing (NLP) and Generative AI Research Intern

Stage Data Scientist - Analyste Quantitatif

Senior AI Engineer

Machine Learning Engineer

Senior AI Engineer (LLM)

Data Scientist

Data Scientist

Senior Machine Learning Engineer

[Remote] Co-Founder, Senior ML AI Systems Engineer (LLM Optimization, NL2SQL, Agentic Systems, Python Expert) Equity-based role