JOIN NOW Post Job

Live · 11,196 open AI roles

AI Jobs

High-signal AI engineering roles, refreshed daily across infra, agents, ML, and product teams.

Updated daily Verified employers Remote · USA · EMEA

Explore AI roles · Updated daily

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

Keyboard friendly Save and share roles

Your work days are brighter here. We’re obsessed with making hard work pay off, for our people, our customers, and th...

Fulltime Remote Ai Machine Learning

$136k - $240k · Senior Fully remote

Robotics and AI Engineer with a strong background in mechatronics, robotics systems design, and artificial intelligen...

Ai Ai Engineer Robotics

$12k* · Senior Fully remote

Are you a scientist interested in pushing the state of the art in Information Retrieval, Large Language Models and Re...

Fulltime Machine Learning Generative Ai Ai

Fully remote

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we...

Remote Ai Data Science Generative Ai

$10k* · Senior Fully remote

A Snapshot of Your Day Join Siemens Energy as a GenAI Engineer and lead the transformation of how our engineers inter...

Fulltime Remote Ai Ai Engineer

$100k* · Senior Fully remote

Pay found in job post Retrieved from the description. Base pay range $139,900.00/yr - $304,200.00/yr

Ai Machine Learning

$139k* · Senior Fully remote

BT-160 – AI/ML Engineer ManagerLocation: Chantilly/HerndonMUST HAVE A TS/SCI CLEARANCE TO APPLY. Those without an act...

Ai Engineer Machine Learning Ai

$12k* · Senior Fully remote

Responsibilities Kforce has a client that is seeking an AI Engineer (Remote) in Armonk, NY. Summary: We are seeking a...

Contract Remote Ai Ai Engineer

Fully remote

A FOX IT é uma empresa portuguesa de consultoria informática, fundada em 2018 com a missão de gerar um impacto positi...

Fulltime Machine Learning Mlops Ai

Fully remote

Estamos à procura de Machine Learning Engineer para trabalhar connosco num modelo híbrido, em Lisboa. O que é que pro...

Ai Machine Learning Nlp Mlops

Fully remote

We're Hiring: Senior Data Scientist (NLP & Generative AI) Remote-first | Pharma Industry | 5+ Years Experience Are yo...

Remote Ai Ai Engineer Machine Learning

Fully remote

Pay found in job post Retrieved from the description. Base pay range $152,000.00/yr - $241,500.00/yr

Mlops Ai

$152k* · Senior Fully remote

Darwill provided pay range This range is provided by Darwill. Your actual pay will be based on your skills and experi...

Machine Learning Ai

$110k* · Senior Fully remote

Principal ML / MLOps Engineer (open to relocation) Location: Atlanta, GA (Hybrid) Experience: 7–10+ years Level: Prin...

Fulltime Machine Learning Mlops Ai

Fully remote

Software AI Engineer/Architect Location: Santa Clara, CA (onsite preferred but remote candidates can be considered) E...

Fulltime Remote Ai Ai Engineer

Fully remote

Are you looking to make an impactful difference in your work, yourself, and your community? Why settle for just a job...

Fulltime Data Science Ai

$121k - $217k · Senior Fully remote

About Turing Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI l...

Ai Ai Engineer

$232k - $260k · Senior Fully remote

Data Scientist Everfit | Hybrid, San Francisco Bay Area About Everfit Everfit is a fitness technology company buildin...

Data Science Ai

$280k* · Senior Fully remote

Requirements and skills Proven experience as a Data Scientist Experience in data mining Experience in Snowflake, SQL ...

Fulltime Data Science Ai

Fully remote

Data Scientist Location: Remote We are seeking a highly skilled professional to work on designing and maintaining com...

Contract Remote Data Science Ai

Fully remote

Selected role

Machine Learning Engineer

Workday Boulder, CO, US

$136k - $240k Senior Full-time

Your work days are brighter here.

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

About the Team

Do you want to build AI-powered software that impacts millions of people every day? The AI Core team, part of Workday’s AI Platform organization, tackles challenging problems at the intersection of machine learning, agentic reasoning, and enterprise-scale systems. Our work delivers critical AI platform capabilities and differentiated, deep-value agent applications.

About the Role

As a Machine Learning Engineer on the AI Core team, you will develop tailored user experiences using advanced Agentic AI, LLMs and RAG. You will collaborate with other engineers to deliver ML solutions across Workday’s product ecosystem and use current software and data engineering stacks to enable training, deployment, and lifecycle management of a variety of ML models; supervised and unsupervised. Additionally, you will develop and deploy new APIs/services using Docker/Kubernetes at scale and leverage Workday’s vast computing resources on rich datasets to deliver transformative value to our customers. Sound like your kind of challenge?

About You

You are a strong technical leader with deep Python expertise and solid software engineering skills, capable of writing beautiful, well-designed code while delivering solutions efficiently. Specifically, you will:

Own exploration, design and implementation of features for our sophisticated ML platforms, pipelines and services.
Be responsible for evaluation, scalability and observability of these features.
Apply machine learning techniques including LLMs and natural language understanding to analyze large sets of HR and Finance-related text data, and design and launch pioneering cloud-based machine learning architectures
Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation
Serve as a technical role model for more junior engineers

Basic Qualifications:

Bachelor’s (Master’s or PhD preferred) degree in engineering, data/computer science, physics, math or equivalent
3+ yrs experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation
3+ years of professional experience with Python and supporting numeric libraries, with experience in shipping production code and models
3+ years of professional experience with cloud computing platforms (e.g. AWS, GCP, etc.)

Other Qualifications:

3+ years of professional experience in building information retrieval systems and/or graph-based recommendation systems.
3+ years of hands-on professional experience in developing large language models (LLMs), text generation models, or graph-based machine learning models for production, including data processing, model fine-tuning, model deployment and model evaluation
3+ years of professional experience building services to host machine learning models in production at scale
3+ years of professional experience in machine learning and deep learning frameworks & toolkits such as PySpark, Pytorch, TensorFlow, and Sklearn
3+ years of professional experience with data engineering and data wrangling using e.g. Pandas and PySpark and other industry tools used to build scalable machine learning systems, such as Kubernetes and Docker
Deep understanding of statistical analysis, unsupervised and supervised machine learning algorithms, and natural language processing for information retrieval and/or recommendation system use cases
Professional experience in independently solving ambiguous, open-ended problems and technically leading teams

Workday Pay Transparency Statement

The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please

click here

Primary Location: USA.CO.Boulder

Primary Location Base Pay Range: $143,400 USD - $215,200 USD

Additional US Location(s) Base Pay Range: $136,200 USD - $240,000 USD

Additional Considerations:

The application deadline for this role is the same as the posting end date stated as below:

03/02/2026

Our Approach to Flexible Work

With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email

[email protected]

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.

Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

Showing 4881–4900 of 11,196 AI roles

1 … 243 244 246 247 560

AI Jobs

Find your next AI role

Machine Learning Engineer

Robotics and AI Engineer

Applied Scientist, Personalization

Data Scientist

GenAI Engineer - Data Scientist

Machine Learning Engineering Manager - AI Insights

AI/ML Engineer Manager

AI Engineer (Remote)

Machine Learning Engineer S H

Machine Learning Engineer

Senior Data Scientist (NLP Generative AI) - Fully Remote

Senior MLOps Engineer, GenAI Framework

Machine Learning Engineer

Principal ML / MLOps Engineer

Software AI Engineer - US

Senior Data Scientist

Principal Forward Deployed AI Engineer

Data Scientist

Data Scientist

Data Scientist