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.

Fullstack Product Software Engineer - DocSend

Company: Dropbox

Location: USA

Posted Nov 10, 2025

This job description highlights a FullStack Product Engineer role at Dropbox DocSend with opportunities for high impact, cross-functional collaboration, and growth in a fast-paced environment. The position emphasizes scalable product development, agile practices, and contributions to expanding Virtual Data Room features.

Fullstack Product Software Engineer - DocSend

Company: Dropbox

Location: Canada

Posted Nov 10, 2025

The role is for a FullStack Product Engineer on the Dropbox DocSend team, focusing on developing and enhancing secure document management and sharing features. The position offers high impact, ownership, and collaboration in a fast-paced, startup-like environment. The company is growing rapidly and looking for experienced engineers to contribute to expanding their Virtual Data Room business with AI-enabled features.

Nurse Practitioner

Company: Fresh Clinics

Location: Australia

Posted Nov 10, 2025

This text promotes a Nurse Practitioner role at Fresh Clinics, emphasizing patient-centric telehealth care, clinical excellence, and professional growth opportunities. It highlights benefits like flexible work arrangements, career development, and a supportive team environment, positioning the role as impactful and rewarding.

Senior Ruby On Rails Engineer

Company: Nearform

Location: India

Posted Nov 10, 2025

Nearform is a global team of data, AI, and engineering experts who build intelligent digital solutions for enterprises. They are seeking a Senior Ruby on Rails Engineer to design and build applications, support component design and maintenance, optimize performance, and collaborate with clients. The role requires significant experience, deep knowledge of Ruby and Rails, and excellent communication skills. Nearform offers benefits such as remote work, flexible hours, paid time off, training allowances, and healthcare.

Actuary

Company: Liberty Mutual Insurance

Location: USA

Posted Nov 10, 2025

The role involves developing pricing analysis and recommendations for mobility accounts, monitoring profitability, and supporting strategic initiatives to ensure target profitability for the Mobility portfolio. The team adapts to changing consumer preferences and emerging trends in transportation, with key segments including ride-hail, goods delivery, autonomous vehicles, and electric vehicles.

Staff Backend Software Engineer - Core Product, Poe

Company: Quora

Location: USA

Posted Nov 10, 2025

Quora is a remote-first company with a mission to grow and share the world's knowledge through its products Quora and Poe. The company is seeking a talented backend engineer to contribute to Poe's core product features, working on cutting-edge AI-powered user experiences. The role involves collaborating with cross-functional teams, leading projects, and mentoring junior engineers.

Americas News Editor (Remote – New York)

Company: Sandmark

Location: Remote (Preference for North East US)

Posted Nov 10, 2025

Sandmark is seeking an experienced Americas Editor to lead editorial strategy in North, Central, and South America. The role involves managing content pillars, collaborating with teams, and driving user engagement through high-quality crypto and financial market content.

Senior Sales Advisor Supervisor

Company: Liberty Mutual Insurance

Location: USA

Posted Nov 10, 2025

The job description outlines the responsibilities and qualifications for a supervisory role in insurance sales. The ideal candidate will have in-depth knowledge of personal lines insurance, strong leadership abilities, and a commitment to coaching and developing team members. The role involves supervising sales advisors, coaching and developing them, managing their performance, contributing to a high-performing culture, ensuring customer satisfaction, and participating in process improvement initiatives.

General Liability Claims Adjuster

Company: Reserv

Location: Remote

Posted Nov 10, 2025

Reserv is an insurtech company focused on automating claims processes using AI and automation technology. They aim to bring efficiency and simplicity to claims for TPAs, insurance technology providers, and adjusters. Reserv is venture-backed and seeks highly motivated individuals to join their team in building a leading TPA and tackling longstanding challenges in the claims role.

Senior Staff Machine Learning Engineer - Communication & Connectivity

Company: Airbnb

Location: Remote

Posted Nov 10, 2025

This text describes a senior machine learning engineering role at Airbnb focused on innovative AI solutions, enhancing guest and host experiences through advanced technologies. It highlights opportunities to shape impactful projects, lead teams, and drive ML applications in messaging and notifications. The role emphasizes collaboration, mentorship, and contributing to scalable AI systems with a strong emphasis on positive outcomes and organizational growth.

Senior Staff Machine Learning Engineer - Community Support Engineering

Company: Airbnb

Location: Remote

Posted Nov 10, 2025

The text describes the Core ML team at Airbnb, which focuses on driving customer support initiatives using generative AI technologies. The team develops AI models, ML services, and tools to enhance the customer experience. The role of a machine learning engineer or scientist involves developing AI-powered products, collaborating with cross-functional teams, and working with large-scale data to build and improve machine learning models and pipelines.

Senior Machine Learning Engineer

Company: Mercury

Location: USA

Posted Nov 10, 2025

The text discusses the invention of the Fast Fourier transform, which revolutionized signal analysis. It also mentions the Risk Onboarding team's work on efficiently reviewing customer applications while preventing money laundering and financial crimes. Mercury, a fintech company, is committed to providing an exceptional banking experience for startups and is seeking a candidate with 7+ years of experience in machine learning engineering, data engineering, backend software engineering, and/or DevOps.

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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