Machine Learning Jobs

425,920 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.

2nd Shift Machine Operator

Company: Boise Transport Services LLC

Location: North Las Vegas, NV

Posted Oct 04, 2025

Skills needed include attention to detail, mechanical aptitude, and strong problem-solving abilities. We are seeking a dedicated 2nd Shift Machine Operator in…

Cloud Engineer

Company: Atrium Staffing

Location: New York, NY

Posted Oct 04, 2025

Bachelor's degree in Computer Science, Information Technology, or a related field is required. Professional development budget and certification reimbursement.

Machine Operator (Choose Shift)

Company: Boise Transport Services LLC

Location: Saint Johns, FL

Posted Oct 04, 2025

Skills required include attention to detail, mechanical aptitude, and ability to work in a fast-paced environment.

Full-Time Customer Experience Specialist

Company: Wayfair

Location: Houston, TX

Posted Oct 04, 2025

Utilize various customer service tools, software, and systems to efficiently manage customer interactions. We are seeking a Customer Experience Associate to…

Custodian

Company: Brooklyn Navy Yard Development Corp

Location: Brooklyn, NY

Posted Oct 04, 2025

Valid driver’s license required. Drive vans, industrial trucks, or other vehicles as needed. Notify managers concerning the need for major repairs or additions…

Data Analyst

Company: Corebridge Financial

Location: Houston, TX

Posted Oct 04, 2025

Bachelor’s degree in engineering, Economics, Statistics, Computer Science, or a related field. Design and build interactive dashboards and reports using Power…

Accountant

Company: Integrated Human Capital

Location: San Antonio, TX

Posted Oct 04, 2025

Under general supervision, is responsible for performing routine and moderately complex accounting and analytical work requiring professional knowledge of…

Product Marketing Manager

Company: Meta

Location: Austin, TX

Posted Oct 04, 2025

Understand advertiser needs/requirements and product risk areas in order to prioritize recommendations to product, engineering, and design teams for new and…

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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