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.

Channel Performance Consultant

Company: Liberty Mutual Insurance

Location: USA

Posted Nov 12, 2025

The job description is for a Channel Performance Consultant role in the insurance industry. The role involves serving as a liaison between the underwriting and distribution channels to drive profitable growth. Key responsibilities include developing relationships with channel stakeholders, understanding channel economics, facilitating speed-to-market implementation of solutions, and building a best-in-class data accuracy program. The ideal candidate should have a bachelor's degree, at least 4 years of relevant experience, excellent communication skills, and proficiency in Excel, PowerPoint, and BI tools.

Claims Specialist II

Company: Liberty Mutual Insurance

Location: USA

Posted Nov 12, 2025

The Claims Specialist role involves managing claims, evaluating liability, negotiating settlements, and interacting with various parties. The position requires a BSBA degree or equivalent experience, 2+ years of claims experience, and knowledge of investigation techniques, medical terminology, and legal aspects. Liberty Mutual offers training, competitive pay, benefits, and a commitment to diversity and inclusion.

Claims Quality Improvement Product Owner

Company: Liberty Mutual Insurance

Location: USA

Posted Nov 12, 2025

The role involves leading the evolution of USRM Claims quality improvement capabilities by shaping strategy and backlog for integrated risk alerts, leader insights, and file reviews. The ideal candidate will have experience in insurance claims, risk quality improvement, or adjacent operations environments, excellent communication and stakeholder management skills, strong technical fluency, and a proven track record designing user-centered workflows and UX for operational users.

Claims Fraud Product Owner

Company: Liberty Mutual Insurance

Location: USA

Posted Nov 12, 2025

The role involves leading the creation of a Special Investigation Unit platform to prevent and detect fraud using predictive analytics, automation, and external intelligence. The ideal candidate should have domain knowledge in claims fraud, telematics, media forensics, or case management workflows, and experience in delivering measurable outcomes from product initiatives.

Associate Quality Assurance Engineer

Company: Evident Change

Location: USA

Posted Nov 12, 2025

The Associate Quality Assurance Engineer position at Evident Change is a remote full-time role for individuals passionate about ensuring tech products work seamlessly. The role involves executing manual and automated test cases, assisting with test data and environments, performing API testing, logging defects, and participating in Agile ceremonies. Evident Change offers competitive compensation, benefits, and a supportive work environment.

Princ Data Solutions Analyst

Company: Liberty Mutual Insurance

Location: USA

Posted Nov 12, 2025

Liberty Mutual is seeking a Principal Data Solutions Analyst to join their Corporate Financial Data Strategy and Governance Team. The role involves acting as a financial data steward, analyzing source data, and developing data solutions. The ideal candidate should have experience in coding for data management, Business Intelligence tools, and cloud platforms. Strong communication skills and a Bachelor's or Master's degree in a related field are required.

Paid Ads Specialist (Social & Search)

Company: GrowthAssistant

Location: USA

Posted Nov 12, 2025

GrowthAssistant is seeking a Paid Ads Specialist to manage and optimize paid advertising campaigns across Meta, Google, and TikTok Ads platforms. The role involves campaign management, creative asset management, reporting, and analytics. The ideal candidate should have 2+ years of social media ad buying experience, 1+ years of experience with Google Paid Ads, Search, YouTube, and Meta Paid Ads, and basic experience with Google Analytics and G Suite. The company offers benefits such as work from home, attendance performance and referral bonuses, paid holidays and time offs, and health insurance.

Full Stack Software Engineer (L5) - Delivery Engineering, Experiences

Company: Netflix

Location: USA

Posted Nov 12, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Delivery Engineering team focuses on improving software delivery experiences for Netflix engineers, working on platforms like Spinnaker and Managed Delivery. The role requires a full stack engineer with experience in Java, JavaScript, Angular, or React, and a focus on mentorship, collaboration, and customer empathy.

Engineering Manager (FE) - Learning Experience

Company: Canva

Location: New Zealand

Posted Nov 12, 2025

Canva is seeking an Engineering Manager to lead a frontend team focused on building AI-generated learning content and a new learning library. The role involves designing intuitive user experiences, collaborating cross-functionally, driving technical strategy, coaching engineers, and contributing to feature development. Canva offers equity packages, inclusive parental leave, a Vibe & Thrive allowance, and flexible leave options.

Director of Expansion Verticals

Company: Signifyd

Location: USA

Posted Nov 12, 2025

Signifyd is a company that helps merchants grow their businesses by building trusted relationships with customers through advanced technology and a committed team. They are seeking a Director of Expansion Verticals to spearhead growth in key industries, particularly in the travel sector, by mapping and executing growth strategies, building strategic partnerships, and providing internal operational support.

Firefox OS Integration Engineer - Crash Reporting

Company: Mozilla

Location: Canada,UK

Posted Nov 12, 2025

Mozilla's job posting highlights their mission to improve the internet, the OS Integration role focusing on crash reporting, generous employee benefits, and commitment to diversity and inclusion. The position emphasizes collaboration, technical expertise, and alignment with Mozilla's core values of openness and user-centric innovation.

Education & LMS Support Specialist

Company: Lingraphica

Location: USA

Posted Nov 12, 2025

Lingraphica is a mission-driven organization that provides speech-generating devices to help improve communication and quality of life for people with communication impairments. The company is looking for candidates who enjoy working in a fast-paced, goal-oriented environment and share their commitment to helping individuals on their communication journey. The job description outlines the responsibilities and qualifications for a temporary role providing operational support for existing Learning Management Systems (LMS) and assisting with various administrative tasks to support the team's education initiatives and activities.

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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