Machine Learning Jobs in Remote

140,477 open positions · Updated daily

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.

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Insights Manager

Company: DISQO

Location: Remote

Posted Jan 25, 2025

DISQO is seeking a data-driven insights leader to join their Ad Measurement team. The ideal candidate will have a passion for insights and innovation in digital and media spaces, with a strong background in consumer research and marketing analytics. The role involves championing customer relationships, driving end-to-end ad measurement solutions deployment, and contributing to process optimization. DISQO offers a positive, performance-oriented workplace with competitive benefits and a flexible hybrid approach.

View Details Apply on BuiltIn

Underwriting Support Manager

Company: Liberty Mutual Insurance

Location: Seattle, WA / Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Content Marketing Manager

Company: DigitalOcean

Location: Gunnison, CO / Remote

Posted Jan 24, 2025

View Details Apply on The Muse

Trial Attorney - New York Metropolitan area (Remote)

Company: Allstate

Location: New York, NY / Remote

Posted Jan 24, 2025

View Details Apply on The Muse

Q2C Solution architect

Company: Hitachi Energy

Location: Krakow, Poland / Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Senior Software Development Engineer, AIP

Company: Zillow

Location: Remote

Posted Jan 24, 2025

View Details Apply on The Muse

Senior Business Program Lead Financial Crimes Audit

Company: TD Bank

Location: New York, NY / Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Technical Account Manager

Company: LogicGate

Location: Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Group Health Sales Executive - Chicago

Company: Allstate

Location: Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Senior Software Engineer, Ads Measurement Lift Studies

Company: Reddit

Location: Remote

Posted Jan 24, 2025

View Details Apply on The Muse

Senior Scheduling Analyst-3

Company: Ensono

Location: Remote

Posted Jan 24, 2025

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Senior Oncology Account Specialist GU Newark, NJ

Company: Pfizer

Location: Newark, NJ / Remote

Posted Jan 25, 2025

View Details Apply on The Muse

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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