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.

Senior Performance Marketer (Full Remote - Worldwide)

Company: EverAI

Location: Worldwide

Posted Nov 21, 2025

EverAI is a fast-growing AI company with 30+ million users, building innovative AI companion products like the world's largest AI girlfriend/boyfriend platform. The company has a strong founding team with experience scaling businesses to IPO and is seeking a performance marketing lead to help scale campaigns and grow the user base to 100M in the next 12 months.

Producer (Video Editor Specialisation)

Company: Storm Ideas

Location: USA

Posted Nov 21, 2025

The job posting describes a fully remote Product role at Storm Ideas, a company that creates engaging social content for major US TV and entertainment brands. The role involves creative ideation, production management, and content strategy. Storm Ideas embraces emerging technologies like AI and offers cutting-edge tools, a flexible remote-first culture, and opportunities for employees to contribute ideas.

Machine Learning Engineer - Advertising

Company: Spotify

Location: Remote

Posted Nov 22, 2025

The Advertising Product & Technology team at Spotify aims to build a next-generation advertising platform for audio and video content. They seek a Machine Learning Engineer II to lead strategic initiatives within CareML, focusing on categorizing podcast content and ads for brand safety. The role involves designing machine learning systems, collaborating with various teams, and applying AI tools to develop innovative solutions.

Quantitative Research Team Lead (Completed)

Company: Apexver

Location: Worldwide

Posted Nov 21, 2025

The role of Quantitative Research Team Lead at Apexver involves leading a team of quants and researchers to develop trading strategies, improve alpha models, and optimize execution. The position requires strong leadership, research, and collaboration skills, as well as experience in quantitative research, systematic trading, and machine learning. Apexver offers competitive compensation, impact, collaboration, innovation, and a flat, collaborative culture.

Associate Solutions Engineer

Company: Qualia

Location: Remote

Posted Nov 21, 2025

Qualia is a leading B2B real estate technology company that provides a simple, secure, and enjoyable home buying and selling experience. They offer SMB and Enterprise products that bring together users from across the real estate ecosystem onto a single shared digital closing platform. Qualia is seeking a passionate and motivated Associate Solutions Engineer to join their growing team and support SMB and MidMarket sales teams.

Machine Learning Principal Solutions Architect

Company: phData

Location: Remote

Posted Nov 22, 2025

The Principal Solutions Architect role at phData is responsible for delivering high-quality AI/ML solutions, driving account growth, and ensuring customer success. The role requires technical leadership, client engagement, and a deep understanding of AI/ML technologies and platforms. phData offers a remote-first work environment, competitive compensation, and opportunities for professional development.

Senior Machine Learning Engineer

Company: phData

Location: Remote

Posted Nov 22, 2025

Machine Learning Engineers are versatile professionals who own the infrastructure and deployment of data science models. They work closely with data scientists to ensure models can be built, deployed, and maintained in production environments. The role requires strong technical skills, including programming, data pipeline development, and system architecture knowledge.

Head of Operations

Company: Warp

Location: Remote

Posted Nov 21, 2025

Warp, a fast-growing startup, is seeking an experienced Head of Operations to oversee operational needs and identify business opportunities. The role involves serving as a trusted advisor to the CEO, managing nascent functions, hiring functional leaders, leading cross-functional projects, and partnering with the CEO on key initiatives. The ideal candidate has 5+ years of senior leadership experience, strong project management skills, and a bias to action.

Salesforce Developer

Company: Guidehouse

Location: Remote

Posted Nov 22, 2025

Guidehouse is seeking experienced Salesforce Developers for a high-growth practice. The role requires a strong foundation in Salesforce development, integrations, and the LWC framework. The company offers a comprehensive total rewards package, including competitive compensation and flexible benefits.

Machine Learning Solutions Architect

Company: phData

Location: Remote

Posted Nov 22, 2025

The job description outlines the role of a Machine Learning Solutions Architect at phData. The position involves designing and implementing data solutions, providing thought leadership, and working with data scientists to deploy machine learning models. The ideal candidate should have extensive experience in machine learning engineering, software engineering, or data engineering, along with expertise in programming languages like Python, Scala, and Java. The role requires strong communication skills, the ability to build and operate robust data pipelines, and experience with big data ecosystem products and cloud architecture.

Senior Customer Success Manager (Full Cycle)

Company: Vidyard

Location: Remote

Posted Nov 21, 2025

Vidyard is a leading provider of AI-powered video solutions for modern revenue teams. The company is looking for a Senior Customer Success Manager to join their team and focus on stabilizing at-risk accounts, driving renewals, and transitioning healthy accounts to the growth team. The role involves building a derisking motion, creating success plans, and collaborating with various teams to remove friction and drive revenue outcomes.

Interstate Tractor Trailer Transportation Claims Resolution Specialist: Auto Physical and Property Damage

Company: Reserv

Location: Remote

Posted Nov 22, 2025

Reserv is an insurtech company focused on automating manual tasks in claims processing using AI and automation technology. They are seeking highly organized and customer-focused Transportation Physical Damage Claims Adjusters to join their team. The company values diversity, empathy, and continuous learning, and offers a generous benefits package.

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.

Related Pages