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.

Sr. Director, GTM Apps - Digital Experience Transformation (Remote)

Company: CrowdStrike

Location: Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Technical Support

Company: Kyndryl

Location: Mexico City, Mexico / Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Software Engineer II, Backend (Comms Platform)

Company: Affirm

Location: Remote

Posted Jan 25, 2025

View Details Apply on The Muse
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Solutions Engineer, Commercial (German)

Company: 1Password

Location: Remote

Posted Jan 25, 2025

1Password is seeking a Solutions Engineer SMB for a one-year remote contract in the Netherlands. The role involves supporting sales teams with customer requests, expediting sales opportunities, and creating valuable content. The ideal candidate should have excellent communication skills in English and German, 3+ years of B2B experience, and a keen eye for detail. The company offers a range of benefits including maternity and parental leave top-up programs, wellness spending allowance, generous PTO, wellness coach membership, and comprehensive health coverage.

View Details Apply on BuiltIn

Audit Manager I Financial Crimes Audit

Company: TD Bank

Location: New York, NY / Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Claims Specialist, Workers Compensation - West Region

Company: Liberty Mutual Insurance

Location: Las Vegas, NV / Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Data Partner - Biology - Asia

Company: TELUS Digital

Location: Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Territory Manager - New Jersey (North)

Company: iRhythm Technologies

Location: Gunnison, CO / Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Intelligence Automation Launch Intern (Remote)

Company: CrowdStrike

Location: Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Customer Success Manager

Company: Pluralsight

Location: Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Senior Software Engineer, Backend (Open Loop BNPL)

Company: Affirm

Location: Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Associate Director, Labor Relations & Country HR Business Partner

Company: Kyndryl

Location: Puteaux, France / 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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