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.

Senior Graphics Engineer - Ink Rendering Expert

Company: Goodnotes

Location: Remote

Posted Nov 30, 2025

Goodnotes seeks a Senior Graphics Engineer to enhance GPU-accelerated ink rendering. The role involves optimizing performance, collaborating with teams, and contributing to high-impact projects. Benefits include equity, professional development, and flexible work arrangements.

Senior Engineering Manager - Banking

Company: Mercury

Location: USA

Posted Nov 30, 2025

Mercury emphasizes smooth banking operations and reliable systems. The engineering manager role involves leading a team, ensuring high availability, and aligning with company values. The company offers competitive salaries and equity, with a focus on diversity and inclusion.

Account Executive - Corporate

Company: HubSpot

Location: Remote

Posted Nov 30, 2025

HubSpot is evolving from an all-in-one suite into an all-on-one platform to help businesses grow better. They believe the world has changed and businesses need more kinds of software that work together. HubSpot's flywheel philosophy uses the momentum of happy customers to drive referrals and repeat sales. They are hiring a Corporate Account Executive to engage with medium to corporate sized businesses and help them grow.

Marketing Manager

Company: Canonical

Location: EMEA

Posted Nov 30, 2025

Canonical is a leading provider of open source software and operating systems, with a focus on enterprise initiatives such as public cloud, data science, AI engineering, and IoT. The company is hiring a Marketing Manager to lead marketing initiatives and generate awareness, engagement, and pipeline for their products. The role involves end-to-end go-to-market planning, campaign execution, and collaboration with various teams. Canonical offers a fully remote working environment, personal learning and development budget, annual compensation review, recognition rewards, and more.

Sr Manager - Technical Support

Company: ExtraHop

Location: Remote

Posted Nov 30, 2025

The Sr Manager Technical Support role involves leading a team to provide world-class technical support for complex cybersecurity products. Key responsibilities include team leadership, operational excellence, customer satisfaction, technical expertise, and strategic contribution. The role requires a bachelor's degree, 4+ years of technical support experience, and 8+ years of leadership experience. Preferred qualifications include network security experience and experience building international locations.

Principal Trader

Company: Kraken

Location: Remote

Posted Nov 30, 2025

Kraken is a mission-focused company that aims to accelerate the global adoption of crypto for financial freedom and inclusion. They are a fully remote company with a diverse team of crypto experts. Kraken offers industry-leading security, education, and client support through products like Kraken Pro, Desktop, Wallet, and Kraken Futures. They are expanding their OTC business and seeking a skilled trader to help shape the desk's direction and growth.

Data Engineer

Company: Figma

Location: Remote

Posted Nov 30, 2025

This job description highlights a Data Engineer role at Figma with opportunities to work on scalable data pipelines, collaborate with cross-functional teams, and contribute to growth initiatives. It emphasizes competitive compensation, equity, and benefits like remote work flexibility and professional development.

Manager - Developer Success

Company: Vercel

Location: Remote

Posted Nov 30, 2025

The role is a Manager position in the Developer Success team, leading and coaching a team of Platform Architects and Developer Success Engineers to drive technical wins and business outcomes for high-value customers. The role involves overseeing day-to-day execution, collaborating with cross-functional teams, and ensuring a seamless customer experience. The company offers competitive compensation, inclusive healthcare, learning opportunities, flexible time off, and a WFH budget.

Backend Engineer - MetaMask (API Platform)

Company: Consensys

Location: Remote

Posted Nov 30, 2025

Consensys is a company that aims to unlock the collaborative power of communities by making Web3 universally easy to use, access, and build on. They work with blockchain technology, particularly Ethereum, to create a more just and equitable society. Consensys offers various roles, including backend Nodejs developers for their API Platform team, which builds backend APIs for MetaMask platforms. The company values diversity, inclusion, and continuous learning, and they provide a high-trust, autonomous work environment that facilitates collaboration and communication.

Senior Staff Machine Learning Engineer - Guest & Host

Company: Airbnb

Location: Remote

Posted Nov 30, 2025

The Users Listings and Marketplaces team at Airbnb supports features related to guests, hosts, and listings. The team works closely with product and design to ship highly visible product functionality and drive innovation. The role involves leveraging structured and unstructured data to build and improve state-of-the-art machine learning models for Airbnb product, business, and operational use cases. The ideal candidate should have 12+ years of industry experience in applied machine learning, with expertise in natural language processing and computer vision.

Account Executive - Corporate

Company: HubSpot

Location: Remote

Posted Nov 30, 2025

The text discusses HubSpot's evolution from an all-in-one suite to a flexible platform, emphasizing their flywheel philosophy that leverages customer momentum for growth. It outlines the role of a Corporate Account Executive, highlighting responsibilities like prospecting, sales strategies, and collaboration with internal teams. The tone is promotional and forward-looking, focusing on business growth and innovation.

Nurse Educator & Quality Assurance Specialist

Company: Everlywell

Location: Remote

Posted Nov 30, 2025

Everlywell is a digital health company that delivers personalized health insights using AI and human insight. They have transformed care for 60 million people and are seeking a Nurse Educator and Quality Assurance Specialist to support provider education and ensure high-quality clinical documentation and consults.

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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