Machine Learning Jobs

425,970 open positions · Updated daily

Machine learning is reshaping industries from autonomous vehicles to personalized medicine. Every quarter, investment in AI startups rises, and Fortune 500s are hiring data scientists to turn vast datasets into actionable insights. This surge translates into a high demand for ML talent, with roles expanding into new verticals and requiring hybrid skill sets that blend software engineering, domain knowledge, and statistical modeling.

Within the ML ecosystem, you’ll find positions such as ML Engineer, responsible for production‑ready pipelines; Data Scientist, focused on exploratory analysis and model prototyping; Research Scientist, pushing the frontier of deep learning; MLOps Engineer, ensuring seamless deployment and monitoring; and AI Ethicist, guiding responsible AI practices. Each role demands tools like TensorFlow, PyTorch, scikit‑learn, SQL, Docker, Kubernetes, and cloud ML services (AWS SageMaker, GCP AI Platform).

Salary transparency matters because it levels the playing field for ML professionals. With clear pay data, you can benchmark your compensation against peers, negotiate offers that reflect your expertise, and spot disparities that may indicate bias. Transparent figures also help you assess the true cost of entry into specialized subfields like reinforcement learning or federated learning, where pay can differ significantly from standard ML engineering.

Tax Auditor (Southern California) - FFD 10/26/25

Company: Franchise Tax Board State of California Sacramento

Location: San Diego, CA

Posted Sep 12, 2025

We also offer CPA certification using general qualifying experience in accordance with the California State Board of Accountancy rules and regulations.

Senior Manager, Analytics

Company: Fortune Brands

Location: Deerfield, IL

Posted Sep 12, 2025

This role is responsible for overseeing the design, development, and implementation of analytics initiatives, ensuring data accuracy and integrity, and driving…

Delivery Consultant- GenAI/ML & Data Science, Professional Services, AWS Industries

Company: Amazon Web Services, Inc.

Location: Santa Clara, CA

Posted Sep 12, 2025

Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences.

CNC Machinist

Company: 4M HR Logistics

Location: San Antonio, TX

Posted Sep 12, 2025

Proficient at dimensionally checking parts using precision measuring tools. Sets up and operates all available machine tools and performs progressive machining…

Fitter/Welder/Fabricator

Company: HD Fabrication & Machine

Location: Gilbert, AZ

Posted Sep 12, 2025

Must be comfortable using FCAW-G/Mig processes. Must communicate and work effectively with others. Must have an understanding of shop procedures and shop safety…

Substitute Teach - Grades 4th-12th

Company: Yellow Wood Academy

Location: Bellevue, WA

Posted Sep 12, 2025

The guest teacher provides instruction to students (as directed by the instructor's lesson plans) including assessment, instruction, and evaluation of students…

Delivery Consultant- GenAI/ML & Data Science, Professional Services, AWS Industries

Company: Amazon Web Services, Inc.

Location: Seattle, WA

Posted Sep 12, 2025

Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences.

Custodian 1

Company: University of Houston

Location: Houston, TX

Posted Sep 12, 2025

Vacuums carpet in offices, rooms and public areas; scrubs, strips, waxes, and buffs floors using powered scrubber and buffer; shampoos carpet and rugs using…

Graphic Designer

Company: Promotional Products Association International

Location: Irving, TX

Posted Sep 12, 2025

Expert knowledge of Adobe InDesign, Photoshop, Illustrator, Acrobat; working knowledge of Canva and other design tools.

Roll Form Operator

Company: DPR Construction

Location: Phoenix, AZ

Posted Sep 12, 2025

Skill and dexterity in the operation of machines and tools. The Roll Form Operator uses a variety of machines and shop tools such as wrenches, feeler gauges,…

Assoc Analyst - Data Analytics

Company: Sunoco LP

Location: Dallas, TX

Posted Sep 12, 2025

Strong communication skills with the ability to explain complex concepts to non-technical stakeholders. Familiarity with data visualization tools (e.g., Power…

Machinist

Company: Coast Personnel Services

Location: Livermore, CA

Posted Sep 12, 2025

This role involves producing precision parts and components, ensuring high-quality standards are met throughout the manufacturing process.

Frequently Asked Questions

What are typical salary ranges for ML roles at different seniority levels?
Junior ML Engineers earn $90k–$120k annually, mid‑level engineers $120k–$160k, senior engineers $160k–$220k, and lead or principal ML roles can reach $220k–$300k+. In large tech firms, the upper end can exceed $350k when including equity, while early‑stage startups may offer lower base but higher stock options.
What skills and certifications are required for ML positions?
Core expertise includes Python, Jupyter, TensorFlow, PyTorch, scikit‑learn, and SQL. MLOps proficiency with Docker, Kubernetes, and cloud services (AWS SageMaker, GCP AI Platform, Azure ML) is essential for production roles. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, and Google Cloud Professional Machine Learning Engineer can validate knowledge and accelerate hiring.
Are ML jobs available for remote work?
Yes, many ML positions are fully remote or hybrid. Companies like Scale AI, Databricks, and Cohere offer remote‑first policies. Remote work requires high‑speed internet, secure VPN access, and collaboration via tools like JupyterHub, Slack, and Asana, but it also expands the geographic talent pool.
What career progression paths exist in ML?
Typical paths start as ML Engineer or Data Scientist, advance to Senior ML Engineer, Lead Data Scientist, or Research Scientist, then transition into managerial roles such as ML Manager, Director of AI, or VP of Data & AI. Progression hinges on building a strong portfolio, publishing research, mentoring junior teammates, and mastering cross‑functional skills like product strategy and ethics.
What are current industry trends shaping ML careers?
Edge AI and federated learning are driving demand for on‑device models; AutoML platforms reduce time to deployment; responsible AI frameworks (e.g., IBM AI Fairness 360) shape compliance roles; reinforcement learning is expanding into robotics; and interpretability tools like SHAP and LIME are becoming standard in regulated sectors such as finance and healthcare.

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