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.

Software Engineer L4/L5 - LLM Evaluation & Infrastructure, Machine Learning Platform

Company: Netflix

Location: Remote

Posted Nov 19, 2025

This text describes Netflix's Machine Learning Platform role, highlighting their focus on scalable infrastructure, innovation in AI/ML, and the responsibilities of a Software Engineer L4/L5. It outlines qualifications, benefits, and company culture while maintaining a neutral tone.

Cloud Solution Architect

Company: Spaulding Ridge

Location: Remote

Posted Nov 19, 2025

The text describes a Cloud Solution Architect role with responsibilities including defining architectural direction, ensuring system integration, leading teams, and enforcing best practices. It outlines requirements for experience with cloud platforms, DevOps practices, and collaboration with stakeholders. The job offers competitive benefits and opportunities for impactful work, emphasizing innovation and professional growth.

Sales Development Representative

Company: Dscout

Location: Remote

Posted Nov 19, 2025

Dscout is a flexible experience research platform that helps leading brands like Sonos, Spotify, Duolingo, and Best Buy capture in-context insights from high-quality participants. They are expanding their team and seeking a Sales Development Representative to work with innovative companies, build sales funnels, and advance qualified leads through the sales pipeline. Dscout offers a competitive compensation package, benefits, education stipend, and remote work stipend.

Customer Success - Team Manager

Company: Canonical

Location: Remote

Posted Nov 19, 2025

Canonical promotes itself as a leading open-source provider with global impact, offering a remote role in Customer Success Team Management. The position emphasizes growth, collaboration, and innovation in a distributed work environment with opportunities for travel and professional development.

Senior Backend Engineer

Company: Kalepa

Location: USA

Posted Nov 19, 2025

The job posting is for a core engineer role at a company that values smart programmers who love coding and seek challenging problems. The role involves working on advanced systems including NLP, firmographic data, entity resolution, and more. The company offers a competitive salary, equity options, and various benefits.

KCS (Knowledge-Centered Service) Enablement Consultant

Company: MariaDB plc

Location: Canada

Posted Nov 19, 2025

MariaDB is a widely used open-source database that powers applications for companies of all sizes, including 75% of the Fortune 500. The company is seeking a KCS Enablement Specialist to champion knowledge sharing and technical enablement across its support organization, with a focus on improving issue resolution, customer experience, and user community empowerment.

Assessment Content Creator - Algebra II

Company: Khan Academy

Location: USA

Posted Nov 19, 2025

Khan Academy is a nonprofit organization with a mission to provide free, world-class education to anyone, anywhere. They offer high-quality supplemental learning content and practice for PreK-12th grade and early college core academic subjects, focusing on math and science. The company values diversity, equity, inclusion, and belonging, and is committed to improving learning outcomes for students worldwide, especially those in historically under-resourced communities.

Data Engineer (L5)

Company: Netflix

Location: Remote

Posted Nov 19, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. They focus on delivering high-quality streaming content across various genres and languages, while continuously improving the user experience. Netflix also emphasizes the importance of data in decision-making and relies on data engineers to build systems for processing and modeling data across various domains.

Accounting Manager

Company: Namecheap Inc

Location: USA

Posted Nov 19, 2025

The Accounting Manager role oversees the company's accounting operations, including month-end close, general ledger accuracy, and complex accounting analyses. The ideal candidate is detail-oriented, experienced in building scalable processes, and will lead a 10-person finance team. The company offers a supportive culture, continuous learning opportunities, and a fully remote lifestyle.

Senior ML Engineer (Python)

Company: Proxify

Location: CET (+/- 3 hours)

Posted Nov 19, 2025

Proxify is a global network connecting top developers with remote full-time opportunities. They have successfully worked with 1200+ clients and have 5000+ developers in their network. Proxify offers career-accelerating positions, flexible working hours, and predictable project hours. They are looking for Machine Learning Engineers with strong Python experience to join their fast-growing network.

Security Engineer - AI

Company: Monarch Money

Location: USA

Posted Nov 19, 2025

Monarch is a personal finance platform that aims to simplify finances and help users reach their financial goals. They are seeking a Security Engineer with a focus on AI to join their team during a period of hypergrowth. The role involves supporting security operations, assessing and monitoring applications infrastructure, designing and implementing security controls for agentic AI systems, and partnering with the AIML team to develop detection systems.

Senior Software Engineer - Data Infrastructure

Company: Found

Location: USA

Posted Nov 19, 2025

Found is a company that provides tools and services for self-employed individuals, including a business bank account that automates taxes and expense tracking. The company is looking for experienced data engineers to join their team and help scale their data infrastructure, optimize data pipelines, and establish data governance. The Data team is responsible for researching, training, and deploying ML models to detect and stop fraud in real time, as well as using data to inform product direction. The company values diversity, equity, and inclusion, and offers a generous benefits package to all employees.

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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