Machine Learning Jobs

425,594 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.

Staff Machine Learning Engineer - Core Engineering

Company: Pinterest

Location: USA

Posted Nov 24, 2025

Pinterest is seeking talented Staff Machine Learning Engineers to join their Core Engineering organization. The role involves designing features, building large-scale machine learning models, and developing new techniques for inferring user interests. The company offers hands-on access to a vast amount of data and the opportunity to contribute to state-of-the-art applied machine learning systems.

Machine Learning Scientist (L4/5) - Studio Media Algorithms

Company: Netflix

Location: USA

Posted Nov 24, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Studio Media Algorithms team focuses on innovation to enhance content creation and increase member value. They are seeking a Research Scientist with experience in generative computer vision to develop algorithms for multimedia tools.

Enterprise Account Executive

Company: Saviynt

Location: France

Posted Nov 24, 2025

Saviynt promotes its AI-powered identity platform and job opportunity for a Senior Account Executive in France, emphasizing growth, security solutions, and a positive work environment. The company highlights competitive compensation, professional development, and diversity in hiring.

Senior Director - Data Engineering (AWS)

Company: phData

Location: USA

Posted Nov 24, 2025

This Senior Director Data Engineering role at phData offers high-impact opportunities in strategic customer leadership, technical innovation, and growth. It requires expertise in cloud platforms and leadership skills, with a focus on driving business outcomes and client success.

Senior Consultant Data and AI Strategy

Company: phData

Location: USA

Posted Nov 24, 2025

This job description outlines a Senior Consultant AI & Data Strategy role with responsibilities including developing AI strategies, identifying use cases, and guiding clients. It lists required experience in consulting and AI technologies, along with company benefits like remote work and professional development opportunities.

Systems Development Engineer (L5) - Creative Compute and Storage

Company: Netflix

Location: USA

Posted Nov 24, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Creative Compute and Storage team is looking for a Senior Systems Development Engineer to design and build technology infrastructure for content creation. The role involves working with engineering teams, creatives, and external vendors to deliver technology solutions and improve productivity for content creators.

Enterprise Account Executive

Company: Checkly

Location: USA

Posted Nov 24, 2025

Checkly is seeking a Senior Account Executive to join their sales team, offering remote work with NYC office access, competitive compensation, and opportunities to work with tech companies. The role emphasizes solving engineering challenges and growing enterprise accounts in a flexible, transparent startup environment.

Staff or Principal Data Scientist

Company: Gradient AI

Location: USA

Posted Nov 24, 2025

Gradient AI is a fast-growing company revolutionizing Group Health and PampC insurance with AI-powered solutions. They are seeking Staff or Principal level Data Scientists to help shape the future of their underwriting products in the healthcare and care management space. The role involves designing and implementing predictive models, analyzing large datasets, and collaborating with cross-functional teams to deliver intelligent solutions at scale.

Senior Staff Software Engineer - Search Platform

Company: Reddit

Location: USA

Posted Nov 24, 2025

The Search Platform team at Reddit is responsible for developing and maintaining the search backend, focusing on building robust search infrastructure. They are collaborating with machine learning engineers and backend architects to create the next generation of search infrastructure, enabling various search functionalities. The team is seeking a Senior Staff Software Engineer to lead the design and development of Reddit's next-generation search engine, integrating lexical vector retrieval and Gen AI search applications.

Enterprise Support Specialist - Portuguese or Korean Speaking

Company: Figma

Location: USA

Posted Nov 24, 2025

This job description outlines a role as an Enterprise Specialist at Figma, focusing on supporting enterprise customers, collaborating with cross-functional teams, and delivering exceptional support experiences. The position requires technical expertise, language proficiency, and experience with enterprise-level systems. Figma offers competitive benefits and opportunities for growth.

Sr AI Engineer | TS/Vue/NodeJS

Company: n8n

Location: Europe

Posted Nov 24, 2025

n8n is an open-source workflow orchestration platform that empowers technical teams to automate faster and smarter using AI. The company has grown significantly since its founding in 2019, with a diverse team of over 160 employees, a strong community of 650,000 active developers, and backing from top investors. n8n is focused on building AI-powered features that redefine how users build automations, with a user-focused mindset and a bias for shipping and learning.

Senior HR Business Partner

Company: Fortive

Location: France,Sweden

Posted Nov 24, 2025

The role involves partnering with senior leaders across EMEA and APAC to shape and execute business and people strategies, ensuring consistent alignment with global HR practices while adapting for local needs. The HR Business Partner will lead strategic initiatives, advise leaders on complex people matters, and collaborate with various HR centers of excellence to deliver integrated solutions across regions.

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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