Machine Learning Jobs in Remote

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Looking for Machine Learning jobs in Remote? Browse our curated listings with transparent salary information to find the perfect Machine Learning position in the Remote area.

Senior Product Manager, Memberships

Company: HomeAdvisor

Location: Denver, CO / Remote

Posted Jan 23, 2025

HomeAdvisor is seeking a Senior Product Manager to lead a new Membership experience, aiming to redefine home service delivery. The role involves developing a product vision, understanding user needs, collaborating with cross-functional teams, and driving repeat bookings. The ideal candidate has 5+ years of experience, a consumer-centric mindset, strong analytical skills, and technical understanding. Compensation includes a salary band of $90,000 - $170,000, benefits, and equity package.

Senior Software Engineer - Frontend

Company: Datadog

Location: Paris, France / Remote

Posted Jan 23, 2025

Associate UX Designer

Company: HubSpot

Location: Remote

Posted Jan 23, 2025

HubSpot's Digital Experience Team is seeking an ambitious Associate UX Designer to join their creative community. This role offers an excellent opportunity for early-career professionals to learn and apply fundamental UX principles, contributing to specific project experiences. The ideal candidate will have 2-3 years of design and user experience, proficiency in UX design tools, and a strong understanding of human-centered design principles. The Associate UX Designer will assist in user research, wireframing, prototyping, and collaboration with UI designers to ensure cohesive user experiences. This is a chance to grow skills while contributing to meaningful projects impacting millions of users worldwide.

Liability Determination Adjuster - Remote (MST/PST)

Company: Allstate

Location: Remote

Posted Jan 23, 2025

Allstate, a company with over 90 years of experience, is seeking a Liability Adjuster for a remote home-based role. The role involves assisting customers with auto losses, conducting thorough investigations, negotiating settlements, and maintaining accurate records. Allstate offers a comprehensive benefits package, including competitive pay, flexible scheduling, and ongoing training. The ideal candidate will have strong communication skills, be detail-oriented, and proficient in using technology for claim processing. Familiarity with insurance policies and regulations is a plus. The role offers a sign-on bonus for candidates with an active adjuster's license in TX, FL, or their resident state.

Software Engineer (Frontend) - DesignOps

Company: Datadog

Location: Paris, France / Remote

Posted Jan 23, 2025

Datadog is seeking a software engineer to join the DesignOps Team and contribute to the development and operations of their Design System, Druids. The role involves working with TypeScript, React, and LESS, improving documentation, and ensuring accessibility standards. The ideal candidate is a JavaScript and frontend specialist with strong attention to detail, good communication skills, and product sense. Datadog values a hybrid workplace culture, offering benefits like product training, career development, mentorship, and a diverse, inclusive environment.

Data Solutions Analyst

Company: Liberty Mutual Insurance

Location: Boston, MA / Remote

Posted Jan 23, 2025

Staff Frontend Engineer

Company: Hatch

Location: Remote

Posted Jan 23, 2025

Product Designer

Company: Bread

Location: Remote

Posted Jan 23, 2025

Systems Engineer

Company: HomeAdvisor

Location: Remote

Posted Jan 23, 2025

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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