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.

Engineering Manager - Solutions Engineering

Company: Canonical

Location: Remote

Posted Dec 02, 2025

Canonical is a leading provider of open source software and operating systems, with a focus on enterprise initiatives such as public cloud, data science, AI, and IoT. The company is founder-led, profitable, and growing, with a distributed team of over 1200 colleagues in 75+ countries. Canonical is looking for a software engineering team lead to drive a new initiative in model-driven operations and infrastructure-as-code, with a focus on Python development and automation.

Senior Staff Software Engineer NFS - Protocol

Company: Hammerspace

Location: Remote

Posted Dec 02, 2025

Hammerspace is seeking a highly skilled Senior Staff Software Engineer to join their team and focus on the development and enhancement of NFS Network File System protocols. The successful candidate will play a pivotal role in their distributed Hyperscale NAS product, contributing to its robustness, performance, and scalability. The role involves protocol development, architecture and design, code development and review, test automation, customer support, remote collaboration, mentorship, and community participation.

Product Marketing Manager - Lifecycle/CRM

Company: Goodnotes

Location: Asia,Europe

Posted Dec 03, 2025

The role of Product Marketing Manager for Lifecycle at Goodnotes involves owning the user journey narrative, partnering with CRM and product teams, and driving revenue through targeted campaigns and copywriting. The ideal candidate should have 5+ years of experience in product marketing, strong analytical skills, exceptional copywriting abilities, and experience with AB testing frameworks.

Golang Engineering Manager - Commercial Systems

Company: Canonical

Location: EMEA

Posted Dec 03, 2025

Canonical is a leading provider of open-source software and operating systems for global enterprise and technology markets. The company is hiring a Golang Engineering Manager to lead a team of software engineers working in Golang and develop internal products. The role involves accountability for design and development, leading a team, developing skills of direct reports, and seeking improvements to established processes. The company offers a distributed work environment, personal learning and development budget, annual compensation review, recognition rewards, and other benefits.

Junior Account Manager

Company: WeLearn

Location: Philippines

Posted Dec 03, 2025

WeLearn is a fast-growing startup founded by former Google and Facebook strategists. They partner with content creators and influencers to support their businesses. The company is looking for talented and driven individuals to join their team. The internship offers structured onboarding, mentorship from founders, and the opportunity to work in an early-stage tech startup environment.

Lead Fraud Operations Analyst

Company: Apollo.io

Location: Canada

Posted Dec 03, 2025

The Sr Fraud Operations Analyst role involves complex fraud investigations, identifying vulnerabilities, designing procedures, and training teams. The ideal candidate should have 5+ years of experience, strong SQL skills, familiarity with fraud concepts, and the ability to work independently and collaboratively.

Machine Learning Engineer III - Routing Cost

Company: Mapbox

Location: Germany

Posted Dec 03, 2025

Mapbox is a leading real-time location platform that provides tools for navigation, mapping, and location-aware businesses. The Navigation team at Mapbox develops web services for navigation initiatives in consumer, automotive, and logistics verticals. They are revolutionizing in-car experiences with technology and have partnered with automotive companies like BMW, Toyota, and GM. The company values high-performing individuals, diversity, and a growth mindset.

Mid-Market Account Executive

Company: HubSpot

Location: UK

Posted Dec 03, 2025

The role of a MidMarket UKI Account Executive at HubSpot involves leveraging inbound and outbound selling strategies to identify and close new business opportunities. The position requires strong communication and interpersonal skills, proficiency in virtual sales presentations, and experience in SaaS environments. The role offers flexible work arrangements and the opportunity to contribute to HubSpot's mission of driving client success and business growth.

Lead Fraud Operations Analyst

Company: Apollo.io

Location: Argentina

Posted Dec 03, 2025

This job description outlines a Sr Fraud Operations Analyst role requiring expertise in fraud investigations, SQL, and cross-team collaboration. The position emphasizes problem-solving, independent work, and remote capabilities, with a focus on fraud vulnerability analysis and training customer-facing teams.

Product Marketing Manager - Insights

Company: Goodnotes

Location: Asia,Europe,UK

Posted Dec 03, 2025

The text outlines company values emphasizing innovation, user-centricity, and growth, along with a detailed description of a Product Marketing Manager role requiring strategic thinking, research expertise, and AI literacy. It highlights the company's commitment to collaboration, learning, and impactful work.

Head of Data

Company: ApprovalMax Limited

Location: Remote

Posted Dec 02, 2025

ApprovalMax is an award-winning B2B software that streamlines bill and expense approval processes for businesses worldwide. The company is seeking a Head of Data to lead their data team, drive data-driven decision making, and optimize data processes and infrastructure. The role requires technical expertise, leadership skills, and stakeholder management to support strategic initiatives and deliver actionable insights.

Manager - Enterprise Sales

Company: Figma

Location: USA

Posted Dec 03, 2025

Figma is seeking a Manager Enterprise Sales to join their dynamic team. The role involves leading a team of Account Executives, participating in customer meetings, assisting in training and development, shaping sales processes, and delivering weekly forecast meetings. The ideal candidate should have 7+ years of sales experience, 2+ years of management experience, and a proven track record of leading successful sales teams. Figma offers a competitive compensation package and benefits.

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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