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.

Field Marketing Manager

Company: Cobalt

Location: Germany

Posted Nov 22, 2025

The job posting outlines the required qualifications and skills for a cybersecurity and B2B field marketing or demand generation role. It emphasizes collaboration with sales and channel partner teams, strong project management skills, technical proficiency with marketing automation and CRM platforms, exceptional written communication skills, and a data-driven mindset. The company values diversity, offers competitive compensation, benefits, and opportunities for growth in a rapidly expanding industry.

Director of AI Engineering

Company: Apollo.io

Location: USA

Posted Nov 22, 2025

Apollo.io is a fast-growing AI-native GTM platform used by millions of professionals. They are hiring a Director of AI Engineering to lead the strategy, execution, and integration of AI systems across the company. The role involves defining the AI roadmap, building agentic systems, AI assistants, search and personalization, and leading a world-class AI engineering team.

Lead Multimedia Designer

Company: Skyrocket Studios

Location: Remote

Posted Nov 22, 2025

The job description outlines a leadership role for a multimedia design team, focusing on team management, creative strategy, content development, and creative direction. The role requires strong leadership skills, proficiency in design tools, and the ability to align creative output with brand goals and client objectives.

Engineering Manager – Growth

Company: Kraken

Location: USA

Posted Nov 22, 2025

Kraken is a mission-focused crypto company with a world-class team dedicated to accelerating global adoption of crypto for financial freedom and inclusion. They offer industry-leading security, education, and client support through products like Kraken Pro, Desktop Wallet, and Kraken Futures. The Growth Engineering team builds experiences that connect people to their ecosystem and drive user acquisition, activation, and retention.

Machine Learning Engineer - Dash

Company: Dropbox

Location: Germany

Posted Nov 22, 2025

The role is for a Machine Learning Engineer on Dropbox's Multimedia AI team, working on Dropbox Dash. Responsibilities include working with large-scale data systems, productionizing multimodal and semantic retrieval systems, partnering with product design and infrastructure teams, building prototypes, running benchmarks, and contributing to open source projects. Requirements include a BS/MS/PhD in a quantitative field, 5+ years of engineering experience, 3+ years of ML/AI experience, and proficiency in Python, Go, C++, and ML libraries. Preferred qualifications include a PhD, experience with NLP, deep learning, recommender systems, and building ML products at scale.

Senior Backend Data Engineer

Company: H1

Location: Remote

Posted Nov 23, 2025

H1 is a company that believes access to the best healthcare information is a basic human right. They aim to provide a platform that informs every doctor interaction globally, promoting health equity and building trust in healthcare systems. The company uses data and AI technology to unlock medical insights and accelerate an equitable and inclusive drug development lifecycle.

Machine Learning Engineer II - Search Data

Company: Mapbox

Location: Remote

Posted Nov 23, 2025

Mapbox is a leading platform for location-aware businesses, offering tools for navigation and data solutions. They seek a Senior Machine Learning Engineer to enhance their search data teams, emphasizing innovation, diversity, and high-quality data delivery.

Everboarding Programs Manager

Company: OpenTable

Location: USA

Posted Nov 22, 2025

OpenTable, a leader in the restaurant industry, is seeking a Program Manager to join their RSS Enablement team. The role involves designing and managing training programs for sales and service teams to optimize performance and drive company growth. The ideal candidate should have experience in program management, sales enablement, and SaaS companies, with a strong track record in building and managing high-impact enablement programs.

Named Enterprise Account Executive

Company: Saviynt

Location: Italy

Posted Nov 22, 2025

Saviynt promotes its AI-powered identity platform as a trusted solution for organizations, emphasizing security, efficiency, and compliance benefits. The text highlights job opportunities in Italy for enterprise sales roles, detailing requirements and company culture as a dynamic, growth-oriented environment.

Strategic Account Manager - Arabic Speaking

Company: Mapbox

Location: Remote

Posted Nov 23, 2025

Mapbox is highlighted as a leading platform with 4 million developers, offering tools for businesses and customer experiences. The role emphasizes strategic customer relationships, technical solutions, and team collaboration.

Reinforcement Learning Research Intern for Game AI

Company: SONY global

Location: Remote

Posted Nov 23, 2025

Sony AI is inviting passionate PhD students to join as Research Scientist Interns specializing in deep reinforcement learning. The internship offers an opportunity to contribute to cutting-edge research in the Game AI field and collaborate with a multidisciplinary team. The position is fully remote or hybrid in the Zurich office, with a flexible duration of 3 to 6 months in 2026.

Senior Program Manager - Brand Studio

Company: Webflow

Location: USA

Posted Nov 22, 2025

Webflow is a Website Experience Platform that combines visual development, content management, AI-driven personalization, hosting, and analytics. They are seeking a Senior Program Manager to support their Brand Studio team in building operational infrastructure for creating and shipping brand experiences. The role involves collaborating with creative leadership, managing projects, optimizing processes, and fostering a culture of operational excellence.

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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