Machine Learning Jobs

Positions 425,970 Updated daily

Machine learning is reshaping industries from finance to healthcare. Demand for talent spikes as companies adopt predictive analytics, automated underwriting, and personalized medicine. Data‑driven product teams need engineers who can translate theory into scalable solutions using TensorFlow, PyTorch, or AWS SageMaker.

Within the field you’ll find roles such as ML Engineer, responsible for productionizing models, Data Scientist building prototypes, Research Scientist pushing algorithmic frontiers, ML Ops Engineer focusing on CI/CD pipelines, and AI Product Manager bridging tech and business. Typical duties include feature engineering, model training, hyper‑parameter tuning, model monitoring, and collaborating with data engineers to maintain data pipelines.

Salary transparency is vital for ML professionals because the field’s rapid evolution creates pay disparities across domains. Knowing the market range for a TensorFlow‑based model deployer in New York versus a research scientist in Seattle helps candidates negotiate realistic offers, assess equity and bonus structures, and prevent skill‑based wage gaps.

Staff Machine Learning Engineer - Core Engineering

Company: Pinterest

Location: USA

Posted Jan 04, 2026

Pinterest seeks Staff Machine Learning Engineers to develop advanced systems for personalized user experiences, working with large-scale data and cross-functional teams to innovate recommendation systems and ad products.

Legal Counsel

Company: Goodnotes

Location: Singapore

Posted Jan 04, 2026

The text outlines a company's values emphasizing innovation, user-centricity, and ownership mentality. It describes a Legal Counsel role with responsibilities in compliance, contract management, and regulatory affairs, along with benefits like equity, flexible work, and professional development opportunities.

Account Executive - Enterprise

Company: Zapier

Location: North America

Posted Jan 04, 2026

Zapier is seeking an experienced Enterprise Account Executive to join their upmarket sales team, emphasizing AI collaboration, company values, and a remote work culture. The role involves selling automation solutions to enterprises, working with cross-functional teams, and contributing to product strategy. The company highlights diversity, inclusion, and a competitive benefits package.

Account Executive

Company: Qualio

Location: North America

Posted Jan 03, 2026

Qualio's platform helps regulated organizations achieve compliance and reduce risk through automated solutions. The job opportunity emphasizes growth, consultative selling, and cross-functional collaboration for a remote sales role with global impact.

Solutions Architect

Company: phData

Location: USA

Posted Jan 04, 2026

This job posting seeks a Solutions Architect to join phDatas Elastic Platform Operations team, focusing on cloud-native data platforms like Snowflake, AWS, and Azure. The role requires technical leadership in designing scalable solutions, optimizing platform performance, and ensuring security. Key responsibilities include managing data migrations, leading technical teams, and collaborating across departments. The position emphasizes strategic thinking, hands-on experience with cloud ecosystems, and mentorship. phData offers a remote-first work environment, competitive compensation, and opportunities for professional growth.

Senior Full-Stack Engineer (React/Node.js)

Company: Innovecs

Location: Poland,Ukraine

Posted Jan 04, 2026

Innovecs seeks a passionate FullStack Software Engineer, highlighting their achievements and offering competitive benefits, flexible work, and a supportive culture. The company emphasizes employee engagement, global presence, and opportunities for growth.

Engineering Manager - Growth

Company: Zapier

Location: North America

Posted Jan 04, 2026

Zapier seeks an Engineering Manager to lead their Personalization Platform team, emphasizing growth, innovation, and inclusive hiring practices. The role involves technical leadership, collaboration with cross-functional teams, and ensuring scalable solutions. The company values diversity, remote work, and transparent AI use.

Senior Machine Learning Manager - Ads Content Understanding

Company: Reddit

Location: USA

Posted Jan 04, 2026

This text describes the Ads Content Understanding team's role in Reddit's monetization efforts, focusing on machine learning and data-driven solutions. It outlines job responsibilities, required qualifications, and benefits for a Senior Engineering Manager position with remote flexibility.

Enterprise Account Executive

Company: Checkly

Location: USA

Posted Jan 04, 2026

Checkly seeks a Senior Account Executive to join their sales team, offering flexible work, competitive pay, and opportunities to work with tech companies. The role involves expanding enterprise accounts and building relationships with engineering teams.

Intermediate Backend Engineer (RoR) - Security Risk Management: Platform Management

Company: GitLab

Location: India,Netherlands,UK

Posted Jan 04, 2026

This job posting highlights a role in developing enterprise security solutions for GitLab's next-generation platform, emphasizing collaboration with a distributed team and ownership of critical backend systems. It outlines responsibilities like designing scalable services, building APIs, and working on security tools, while specifying required technical skills and remote work flexibility.

Client Success Manager Coupa

Company: CrossCountry Consulting

Location: United States

Posted Dec 30, 2025

The text promotes a company's commitment to client and employee success, highlighting their values, collaborative approach, and comprehensive benefits package. It outlines a role focused on delivering exceptional client experiences through technology solutions and emphasizes a positive work culture with opportunities for growth and innovation.

Cost-Efficient Inference Serving and Routing Optimization- MSc and PHD-Summer internship 2026- Research Lab

Company: IBM

Location: Multiple Cities

Posted Dec 28, 2025

This internship offers a unique opportunity to work on AI systems and distributed infrastructure with real-world impact on scalable, cost-efficient inference serving. The role involves designing routing algorithms, optimizing performance, and collaborating on cutting-edge research with industry-relevant technologies.

Frequently Asked Questions

What are typical salary ranges by seniority for machine learning roles?
Entry‑level ML Engineer: $90k–$120k; Mid‑level ML Engineer or Data Scientist: $120k–$160k; Senior ML Engineer or Research Scientist: $160k–$220k; Lead ML Engineer or Principal Research Scientist: $200k–$280k; AI Product Manager: $130k–$180k depending on experience and market.
What skills and certifications are most valuable in machine learning today?
Core language: Python; Deep learning frameworks: TensorFlow, PyTorch; Scikit‑learn for classical models; SQL and NoSQL databases for data ingestion; Docker and Kubernetes for deployment; Cloud AI services such as AWS SageMaker, GCP Vertex AI, Azure ML. Certifications: TensorFlow Developer Certificate, AWS Certified Machine Learning – Specialty, GCP Professional Machine Learning Engineer.
How common is remote work for machine learning positions?
Over 70% of ML roles allow full remote or hybrid arrangements. Startups and fintech firms tend to offer 100% remote options, while larger enterprises often provide hybrid models with occasional on‑site data‑center visits. Remote work is especially prevalent for roles focused on model training and research.
What career progression paths exist in machine learning?
Typical paths: ML Engineer → Senior ML Engineer → Lead ML Engineer → ML Manager; Data Scientist → Senior Data Scientist → Lead Data Scientist → Head of Data; Research Scientist → Senior Research Scientist → Principal Scientist → Chief Data Scientist; ML Ops Engineer → Senior ML Ops Engineer → Lead ML Ops Engineer → Director of MLOps. Progression often involves moving from coding to architecture, then to leadership and strategy.
What are the current industry trends shaping machine learning hiring?
Key trends: reinforcement learning for autonomous systems; federated learning for privacy‑preserving models; edge AI for IoT devices; AutoML platforms speeding model deployment; MLOps practices for scalable pipelines; explainable AI and ethics compliance; and increased demand for AI governance roles.

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