Machine Learning Jobs

425,749 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.

CNC Machinist (1st Shift)

Company: Smiths Group

Location: Irving, TX

Posted Oct 13, 2025

3-7 years of manual machining and CNC setup and operation utilizing conversational programming. Utilize blueprints, sketches, drawings, specifications, or…

CNC Machinist / Operator 2nd or 3rd Shift - Sign On Bonus

Company: Smiths Group

Location: Pasadena, TX

Posted Oct 13, 2025

Can operate a minimum of 2 CNC machine tools. High school diploma or equivalent with a technical school education and working machinist knowledge or equivalent.

Lead Machine Learning Engineer - ML/AI

Company: Capital One

Location: New York, NY

Posted Oct 13, 2025

Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large…

Restoration Project Manager

Company: GDA Contractors

Location: Grand Prairie, TX

Posted Oct 13, 2025

GDA Contractors is a specialty construction firm providing waterproofing, caulking, and moisture protection and restoration services to general contractors and…

Senior Lead Data Engineer

Company: Capital One

Location: Chicago, IL

Posted Oct 13, 2025

Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.

Sr. Software Engineer, Front End / Full-Stack (JavaScript ES6+, Angular, NgRX, AWS Fargate)

Company: Capital One

Location: New York, NY

Posted Oct 13, 2025

Own the technical design and development of cross-functional, multi-platform application systems. 2+ years of experience with open-source state management and…

Distinguished AI Engineer (Agentic AI Platform Infrastructure)

Company: Capital One

Location: New York, NY

Posted Oct 13, 2025

Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency,…

User Experience Copywriter

Company: Macy’s

Location: New York, NY

Posted Oct 13, 2025

Candidates with a bachelor’s degree or equivalent work experience in a related field are encouraged to apply. User-Centered Design: Deep understanding of UX/UI…

Certified Special Education Substitute Teacher - Up to $207 daily

Company: Kokua Education

Location: Austin, TX

Posted Oct 13, 2025

Texas Teacher Certification in Special Education (EC-12) - proof of valid certification required. A valid Texas Teacher's certificate is required for all…

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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