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.

Commercial Counsel

Company: ElevenLabs

Location: Remote

Posted Nov 16, 2025

ElevenLabs is a leading audio AI company that has developed humanlike speech technology. They have raised significant funding and achieved rapid growth, with a mission to make information accessible in any voice, language, or sound. The company offers a Creative Platform and Agents Platform powered by proprietary AI models.

Senior/Lead 2D Animator

Company: Innovecs

Location: Ukraine,Poland

Posted Nov 16, 2025

Innovecs Play seeks a Senior 2D Animator to join their creative team. The role offers flexible hours, competitive pay, and a supportive work environment with opportunities for growth. Applicants should submit their CV.

Software Development Engineer III - Maps API

Company: Mapbox

Location: Germany

Posted Nov 16, 2025

Mapbox is a leading real-time location platform for businesses, providing tools for navigation, mapping, and location-aware applications. The company values high-performing individuals, diversity, and a culture of teaching and learning. The Maps API team builds and maintains mapping services, with a focus on scalability, reliability, and performance.

Engineer - Full Stack (Revenue Zone)

Company: Zapier

Location: North America

Posted Nov 16, 2025

Zapier seeks a Full Stack Engineer to build and evolve infrastructure for their Revenue Zone, focusing on payments, subscriptions, and customer experiences. The role involves modernizing systems, collaborating across teams, and contributing to scalable solutions that impact millions of users.

Machine Learning Manager - PF&O (Recommendations & Forecasting)

Company: Reddit

Location: Canada

Posted Nov 16, 2025

Reddit is building a first-class ads platform with new products to connect advertisers with engaged communities. The Advertiser Optimization org is driving this by building autobidding and conversion-based products. The PFampO team is building advertiser and sales tools, including ML systems and data-driven recommendations to teach advertisers how to use Reddit campaigns effectively.

Senior Backend Engineer

Company: Checkly

Location: Spain,Poland,Ukraine,UK,Germany,France

Posted Nov 16, 2025

Checkly is a fully remote SaaS company that provides a DevTool for developers to ensure application performance and reliability. They are looking for a Senior Backend Engineer to join their team and work on expanding their backend infrastructure, implementing new features, and scaling their platform. Checkly offers a transparent salary, flexible work hours, and a remote-first culture.

Cyber Security Architect

Company: Guidehouse

Location: Remote

Posted Nov 16, 2025

This job posting seeks a Cybersecurity ArchitectEngineer with extensive experience in designing security systems, compliance, and incident response. The role requires expertise in cybersecurity frameworks and certifications, with benefits including competitive compensation, retirement plans, and professional development opportunities.

Senior Software Engineer II - Messaging Platform

Company: HubSpot

Location: UK

Posted Nov 16, 2025

The text describes HubSpot's messaging infrastructure team and their critical role in maintaining reliable, scalable email systems. It highlights the team's responsibilities, technical challenges, and the importance of their work in supporting customer communication and business success.

Associate Account Manager

Company: PadSplit

Location: Remote

Posted Nov 16, 2025

PadSplit is hiring an Associate Account Manager to provide scalable, high-impact support to their growing community of hosts. The role involves engaging hosts through group channels, ensuring clear communication, and empowering hosts with resources to succeed on the platform. The ideal candidate is a proactive communicator with a customer-first mindset, able to simplify complex ideas, analyze data, and build engaging webinars and email programs at scale.

Professional Services Engineer - P4

Company: Perforce

Location: Remote

Posted Nov 16, 2025

Perforce is a global company that values collaboration, creativity, and employee wellness. They offer a rewarding career with opportunities to work with top brands and develop expertise in enterprise version control solutions. The company provides comprehensive P4 availability management, security, performance optimization, and development workflow design services.

Senior Product Designer II - Segments

Company: HubSpot

Location: Remote

Posted Nov 16, 2025

HubSpot is seeking a Senior Product Designer II to reimagine segmentation and transform their Lists product into an AI-enabled audiences platform. The role involves tackling cross-product problems, shaping design systems, leveraging AI features, collaborating across functions, measuring impact, and fostering an inclusive culture. The ideal candidate should have proven product design expertise, collaborative leadership skills, systems and scale thinking, adaptability, AI curiosity, and a growth mindset.

Account Executive - Commercial Install Base

Company: Vercel

Location: USA

Posted Nov 16, 2025

The role is for a Sales Executive at Vercel, a fast-growing company that helps customers in the developer, operations, marketing, product, and IT fields. The position involves driving revenue growth, building relationships with key stakeholders, and partnering with other teams to deliver customer outcomes. Vercel offers a competitive compensation package, inclusive healthcare, opportunities for learning and growth, flexible time off, and a WFH budget.

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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