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.

People Partner & Program Manager

Company: Hazel Health

Location: Remote

Posted Jan 25, 2025

Hazel Health is seeking a People Partner & Program Manager to join their remote team. The role involves partnering with departmental leadership to drive innovative people programs, build scalable talent strategies, and enable organizational effectiveness. The ideal candidate will have 6+ years of experience in a similar role, demonstrated ability to build and deliver large-scale people programs, strong data analytics skills, and excellent communication and facilitation skills. The company is recognized as one of the world's most innovative places to work and offers competitive compensation and benefits.

AR Consultant

Company: CDW

Location: Remote

Posted Jan 25, 2025

Direct Tax Manager

Company: CDW

Location: Remote

Posted Jan 25, 2025

Digital Campaigns Manager/Senior Manager

Company: Indivisible Project

Location: Remote

Posted Jan 25, 2025

The Email and SMS Manager position is seeking a candidate with at least 4 years of experience in online content creation and strategy for a political advocacy nonprofit or campaign, focusing on email and SMS. The role involves drafting and implementing content, prioritizing tasks, and working in a fast-paced environment. The successful candidate will collaborate with colleagues to develop a monthly email and SMS calendar, coordinate across teams, and propose strategies. The position offers a competitive salary range and the opportunity to work on democracy issues, racial justice, and economic justice.

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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