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.

Senior Growth Analyst, Marketing Campaigns

Company: Scribd

Location: Remote

Posted Jan 25, 2025

Scribd is seeking a Senior Growth Analyst to join their team. The role involves developing insights to optimize multichannel campaigns, measuring their effectiveness, and driving growth across Scribd's subscription and ad-based business. The ideal candidate should have 3+ years of experience in growth analytics, expertise in data analysis and visualization tools, and strong communication skills. Scribd offers a competitive salary, comprehensive benefits, and a flexible work environment.

Sr. Data Analyst, Performance Marketing - US (Remote)

Company: Luxury Presence

Location: Remote

Posted Jan 25, 2025

Luxury Presence, a leading digital platform in the real estate industry, is seeking a Senior Data Analyst for Performance Marketing. The role involves analyzing and improving marketing outcomes, delivering insights, building predictive models, and creating data products. The company is a fast-growing startup, trusted by over 60,000 real estate professionals, and is backed by world-class investors. The position offers competitive compensation, including stock options, flexible PTO, and health benefits.

Director, Revenue Enablement

Company: Red Canary

Location: Remote

Posted Jan 25, 2025

Red Canary is seeking a seasoned Director of Revenue Enablement with 8+ years of experience in driving business outcomes through sales enablement and training. The role involves leading the vision and strategy for go-to-market enablement programs, providing onboarding and continuous learning to internal revenue-driving teams, and collaborating with sales, marketing, product marketing, and customer success teams. The ideal candidate will have LMS evaluation and implementation experience, past experience selling B2B solutions or managing B2B sales teams, and cybersecurity MDR or high-tech selling experience. The role offers a base salary of $152,600 - $200,000 per year, bonus eligibility, and potential stock options. The application deadline is January 31, 2025.

Senior Data Engineer

Company: Coinbase

Location: Remote

Posted Jan 25, 2025

Senior Manager - Detection Risk and Controls

Company: TD Bank

Location: New York, NY / Remote

Posted Jan 25, 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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