Machine Learning Jobs

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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.

Actuary - Homeowners Countrywide Indications

Company: Liberty Mutual Insurance

Location: USA

Posted Nov 20, 2025

The role is part of the Homeowners Countrywide CW Indications team within US Retail Markets. The key responsibility is to produce accurate Homeowners internal indications on a quarterly basis. The role requires close collaboration with analytical teams and the ability to communicate the go-forward strategy. It offers opportunities to problem solve, develop line of business expertise, and influence the broader organization.

Alliances Marketing Manager

Company: Megaport

Location: Remote

Posted Nov 20, 2025

Megaport is a global leader in Network as a Service (NaaS) that has transformed the way businesses connect to the cloud, data centers, and each other. The company is headquartered in Brisbane and has a collaborative, supportive, and fun team culture. Megaport is seeking an Alliances & Vertical Marketing Manager to lead joint marketing efforts with key strategic partners and develop cobranded content.

Tech Lead - Storypilot

Company: Storyteller

Location: Hungary

Posted Nov 20, 2025

This job posting highlights a high-growth SaaS company seeking a technical leader to drive innovation in a remote work environment. The role involves building scalable systems, collaborating with cross-functional teams, and leveraging AI to enhance content platforms for global sports brands. The company emphasizes autonomy, ownership, and continuous learning.

Mentor role for iOS Development with SwiftUI and SwiftData track

Company: Udacity

Location: USA

Posted Nov 20, 2025

The text describes the role of a mentor in a Udacity Nanodegree program. Mentors are industry professionals who provide technical support to learners through virtual meetings, community forums, and live sessions. They must have at least 7 years of industry experience or a master's degree in the relevant field, with expertise in Swift programming, SwiftUI, data persistence, networking, and concurrency. Mentors should be able to teach technical concepts, have public speaking skills, and be flexible to work part-time. The role offers additional income, the opportunity to contribute to an international student community, and staying updated with cutting-edge technologies.

Senior Product Manager - Plan

Company: GitLab

Location: EMEA,North America

Posted Nov 20, 2025

The role involves leading the Core Planning team within GitLab's Plan stage to reimagine how development teams organize, coordinate, and plan their work at enterprise scale. The focus is on building flexible, configurable planning fundamentals that replace outdated agile mechanisms with intelligent automation, integrating agentic AI functionality, and connecting planning to business outcomes.

Cyber Security Manager - AI Enablement and Delivery

Company: Blackbaud

Location: USA

Posted Nov 20, 2025

Blackbaud is seeking an experienced AI Enablement and Delivery Cyber Manager to lead a team in securing AI solutions and ensuring compliance with industry standards. The role involves partnering with technology teams, providing guidance on AI security, leading a global team, and driving the adoption of AI and automation technologies to enhance cyber capabilities.

Machine Learning Scientist (L4) - Content & Studio

Company: Netflix

Location: USA

Posted Nov 20, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Studio Media Algorithms team is at the forefront of innovation, enhancing and supporting the vision of creators. The company is seeking early-career talent with experience in generative and reconstructive image and video models to improve video content quality.

Staff Machine Learning Engineer

Company: Spotify

Location: Remote

Posted Nov 20, 2025

The Personalization team at Spotify aims to make content discovery effortless and enjoyable for every listener. They deliver exceptional recommendations across various experiences like Home, Search, curated playlists, and cutting-edge innovations. The role involves defining and executing the ML technical strategy for Home, building models to improve user representations and personalization, collaborating with cross-functional teams, and staying engaged with the broader ML research community.

Account Executive - Federal

Company: Figma

Location: USA

Posted Nov 20, 2025

This job description highlights a role driving sales for Figma's Federal clients, offering career growth, networking opportunities, and a competitive salary package. The position emphasizes relationship-building, strategic account planning, and collaboration with cross-functional teams, while showcasing Figma's benefits including equity, health benefits, and performance incentives.

Senior Software Engineer - Identity & Security Products

Company: Twilio

Location: USA

Posted Nov 20, 2025

This job posting seeks a senior software engineer to design and build Twilios Identity and Security solutions, emphasizing innovation, security, and scalability. The role involves collaboration with cross-functional teams, mentorship, and contributing to technical roadmaps. Qualifications include experience with distributed systems, cloud infrastructure, and security protocols. The position offers competitive compensation, remote work flexibility, and comprehensive benefits.

External Contractor - Mentor role for Data Streaming track

Company: Udacity

Location: USA

Posted Nov 20, 2025

The text is a job description for a mentor position at Udacity. Mentors provide technical support to learners in their Nanodegree journey. They must have at least 7 years of industry experience or a master's degree in the relevant field, with expert proficiency in Apache Kafka and the Kafka ecosystem. Mentors are required to provide technical support, host weekly live virtual sessions, and redirect learners to appropriate support channels.

Senior Staff Software Developer - Booking Group

Company: Jane App

Location: Remote

Posted Nov 20, 2025

Jane is a remote-first company that helps healthcare practitioners and patients by providing digital tools for managing practices. They value growth, collaboration, and a growth mindset. The Senior Staff Developer role involves leading technical decisions, mentoring others, and shaping the company's technical direction.

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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