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.

Generative AI Solution Engineer

Company: GuidePoint Security

Location: Remote

Posted Dec 01, 2025

GuidePoint Security is seeking a skilled Generative AI Engineer/Architect to join their technology team. The role involves designing, implementing, and managing secure and scalable generative AI solutions using AWS services. The position requires collaboration with IT infrastructure and information security teams to ensure adherence to enterprise security standards and industry best practices. The ideal candidate should have 5+ years of experience in cloud engineering and solutions architecture, with a focus on AWS and AI solutions. Strong understanding of generative AI concepts, LLMs, and foundational ML principles is required. Excellent problem-solving skills, communication abilities, and experience applying security principles to AI implementations are essential.

Staff Software Engineer - Data

Company: Stripe

Location: Remote

Posted Dec 01, 2025

Stripe is a financial infrastructure platform that enables businesses to accept payments and grow revenue. The Company Universe team focuses on data-driven solutions to support Sales, Marketing, and Self-Serve Growth. The role of Staff Software Engineer involves designing and developing data pipelines, applications, and tools to empower these teams and improve customer experiences.

Salesforce Director – State and Local Government (SLG)

Company: Guidehouse

Location: Remote

Posted Nov 30, 2025

Guidehouse is seeking a Salesforce Director to join their State and Local Government practice. The role involves leading business development efforts, collaborating with account teams, providing strategic guidance, and building a team. The ideal candidate should have 10+ years of Salesforce experience, strong SLG relationships, and excellent communication skills.

Senior Software Engineer - Scientific Computing

Company: KoBold Metals

Location: Remote

Posted Dec 01, 2025

KoBold leverages AI and advanced sensors for mineral exploration, highlighting successful discoveries and seeking skilled engineers to enhance their scientific computing stack for sustainable resource discovery.

Lead Golang Software Engineer - Commercial Systems

Company: Canonical

Location: EMEA

Posted Dec 01, 2025

Canonical is a leading provider of open-source software and operating systems for global enterprise and technology markets. The company is hiring a Lead Golang Software Engineer to work on various engineering teams, including the Billing, Contracts, and Livepatch teams. The role involves developing engineering solutions, leading technical designs, code reviews, and implementation, deploying and operating services, coaching and mentoring colleagues, and developing great engineering and organizational practices.

Senior Machine Learning Engineer

Company: Clear Capital | CubiCasa

Location: Remote

Posted Dec 01, 2025

Clear Capital is a production team focused on building accurate real estate models using state-of-the-art technology. They are seeking a Senior Machine Learning Engineer to lead the development of machine learning products, data pipelines, and production systems. The company offers competitive compensation, inclusive benefits, and a mission-driven environment.

Data Scientist II - Growth Marketing

Company: Pinterest

Location: Remote

Posted Dec 01, 2025

Pinterest is seeking a Data Scientist to join their marketing team and drive revenue growth through advanced marketing measurement frameworks, statistical models, and data analysis. The role involves collaborating with cross-functional teams to optimize marketing strategies, assess campaign effectiveness, and provide actionable insights to leadership.

Workday Financials Optimization Associate Director

Company: Guidehouse

Location: Remote

Posted Nov 30, 2025

This job posting highlights a Financials Optimization Consultant role with responsibilities including leading Workday Financials solutions, designing financial systems, and collaborating with clients. The position requires significant Workday experience and offers competitive compensation, comprehensive benefits, and opportunities for professional growth in a supportive workplace environment.

Senior Human Resources Business Partner (HRBP) - Workplace Relations

Company: Oxfam America

Location: Remote

Posted Dec 01, 2025

This text describes a Senior HRBP role at Oxfam America, emphasizing workplace relations, compliance, and cultural initiatives. It highlights the organization's commitment to equity, justice, and employee development while outlining qualifications and expectations for the position.

Resource Management Coordinator

Company: GuidePoint Security

Location: Remote

Posted Dec 01, 2025

The Resource Management Coordinator role involves strategic resource planning, project support, and stakeholder collaboration. It requires expertise in scheduling, systems proficiency, and analytical skills to ensure efficient delivery and team success.

Senior Machine Learning Engineer- LiveOps Automation

Company: Scopely

Location: Remote

Posted Nov 30, 2025

Scopely is seeking a Senior Machine Learning Engineer to join their LiveOps Automation team in Spain. The role involves building ML-driven tools to enhance player experience in Midcore games, contributing to technical plans, defining the team's roadmap, and mentoring less experienced team members. Scopely values diversity and inclusivity in their work environment.

Senior Backend Engineer

Company: Cloudbeds

Location: Remote

Posted Dec 01, 2025

Cloudbeds is a global hospitality technology company that provides a unified platform for independent properties and hotel groups to transform operations and commercial strategy. The company offers AI-powered solutions to solve hoteliers' biggest challenges and has become the world's best hotel PMS solutions provider. The Senior Software Engineer role involves delivering exceptional product experiences to customers worldwide, working with a remote team, and contributing to the company's growth and success.

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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