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.

Senior Jira Software Engineer

Company: Canonical

Location: Remote

Posted Nov 11, 2025

Canonical promotes itself as a leading open-source provider with global impact, offering a remote-friendly work environment, professional growth opportunities, and competitive benefits. The job posting highlights innovation, collaboration, and a commitment to excellence in a distributed team setting.

Technical Product Enablement Strategist

Company: Sprout Social

Location: USA

Posted Nov 12, 2025

Sprout Social seeks a Technical Product Enablement Strategist to drive success in their Sales and Success team. The role offers career growth, flexible work, and collaboration with top brands. Benefits include competitive pay, wellness programs, and a focus on diversity and inclusion.

Senior Product Manager - Pro - Tax Reporting

Company: Kraken

Location: USA

Posted Nov 12, 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 company is fully remote with Krakenites in 70+ countries speaking over 50 languages.

Senior Lead Machine Learning Engineer

Company: Upwork

Location: Remote

Posted Nov 11, 2025

Upwork is a global work marketplace connecting businesses with AI-enabled talent. The company offers a platform for hiring professionals across various domains and is seeking a Senior Lead Machine Learning Engineer to shape the future of AI-powered intelligence. Upwork values trust, risk-taking, customer focus, and excellence, and offers benefits like comprehensive medical coverage, unlimited PTO, and a 401k plan.

Senior Machine Learning Engineering Manager - Gen AI

Company: Dropbox

Location: Remote

Posted Nov 11, 2025

This job description outlines a senior engineering manager role at Dropbox focused on leading AI product development for Dash. The position requires extensive technical expertise in ML/AI, strong leadership skills, and experience scaling engineering teams. Responsibilities include team development, product strategy, and operational excellence, with competitive compensation across multiple US regions.

Growth Marketing Wizard Extraordinaire

Company: SureDone

Location: Remote

Posted Nov 11, 2025

SureDone is an ecommerce platform that helps businesses manage products, inventory, prices, and orders across multiple channels. They are seeking a growth marketer with strong marketing, SEO, content creation, social media, and data analysis skills to help the company grow rapidly. SureDone offers competitive compensation, benefits, and a dynamic work environment.

Firefox OS Integration Engineer - Crash Reporting

Company: Mozilla

Location: Canada

Posted Nov 12, 2025

Mozilla's mission to improve the internet through open-source projects and innovation. The OS Integration team focuses on enhancing Firefox's compatibility and crash reporting. The role offers competitive benefits and collaboration with a global team.

Firefox OS Integration Engineer - Mac OS Engineering

Company: Mozilla

Location: Canada,UK

Posted Nov 12, 2025

Mozilla Corporation is a nonprofit-backed technology company that has shaped the internet for the better over the last 25 years. They make pioneering brands like Firefox, the privacy-minded web browser, and focus on diverse areas including AI, social media, security, and more. The OS Integration team ensures Firefox and other Gecko-based products harmonize well with the host operating system and environment, with this role focusing on macOS.

Solutions Architect for Automotive

Company: Canonical

Location: Remote

Posted Nov 11, 2025

Canonical is a leading provider of open source software and operating systems, with a focus on enterprise and technology markets. The company is hiring a Solutions Architect for Automotive to help partners understand and embrace their open source platform. The role requires expertise in Linux, embedded systems, and customer-facing engagement.

Senior Solutions Architect

Company: ExtraHop

Location: UK

Posted Nov 12, 2025

The position summary highlights the unique focus of ExtraHops Solutions Architecture team on customer success and outcomes rather than billable hours. The role involves tackling complex business and technology problems, developing custom tools, creating data visualizations, and conducting learning sessions with customers. Required qualifications include relevant experience, understanding of networking and application design, scripting skills, and excellent communication abilities.

Senior Machine Learning Engineering Manager - Gen AI

Company: Dropbox

Location: Remote

Posted Nov 11, 2025

This role involves leading an engineering team to develop Dropbox's AI product Dash, emphasizing innovation and growth. The position requires expertise in ML and management experience, with competitive compensation.

AI Studio Delivery Lead

Company: Guidehouse

Location: Remote

Posted Nov 11, 2025

The job posting is for a Data Science Consulting role at Guidehouse, focusing on leading AI Studio capabilities, managing ecosystem partners, and collaborating with sales and marketing. The ideal candidate should have 8+ years of experience in leading cross-functional teams, strong leadership skills, and familiarity with AI and data technologies. The position 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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