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.

GlobalVetLink Vice President of Sales

Company: ASG

Location: Remote

Posted Jan 24, 2025

GlobalVetLink, a rapidly growing B2B SaaS company, is seeking a hands-on VP of Sales to lead its Sales and Success teams. The role involves executing both tactical and strategic sales operations, driving efficiency, accuracy, and peace of mind for clinic staff. Key responsibilities include achieving sales and margin targets, tracking and analyzing sales KPIs, and optimizing the customer journey through data-driven insights. The ideal candidate should have 10+ years of experience in high-visibility B2B SaaS sales leadership, a proven track record of scaling high-performing sales teams, and expertise in sales operations, forecasting, and performance management.

Specialist Security System linux /UNIX

Company: Kyndryl

Location: Mexico City, Mexico / Remote

Posted Jan 24, 2025

Creative Director

Company: Rise8

Location: Remote

Posted Jan 24, 2025

Rise8 is a company that is transforming the United States Government by prioritizing employee experience and offering competitive pay, benefits, and growth opportunities. They emphasize continuous impact through next-level tech and collaboration, creating a culture that values kindness and empathy. Rise8 is currently seeking a Creative Director to build and scale the CEO's brand and Rise8's position as a leader in continuous delivery through compelling storytelling and high-impact content.

Senior Staff Software Engineer, Storage

Company: Reddit

Location: San Francisco, CA / Remote

Posted Jan 24, 2025

Senior Lead, VIP Support

Company: Automattic

Location: Remote

Posted Jan 24, 2025

WordPress VIP, a leading enterprise content management platform, is seeking a Senior Lead for its VIP Support team. The role involves contributing to the customer support strategy, delivering a high-quality 24/7 support service, and working closely with cross-functional teams. Responsibilities include designing innovative support offerings, evaluating processes for efficiency gains, and guiding the team to strong performance. Requirements include 5+ years of leadership experience in technical or customer support, preferably in a SaaS or enterprise software company. The company offers a competitive salary range of $100,000 - $150,000 USD and a fully remote work environment with an open vacation policy.

Associate Director, SAP Sales Specialist

Company: Kyndryl

Location: Rome, Italy / Remote

Posted Jan 24, 2025

Sênior Natural/ADABAS Application Programming

Company: Kyndryl

Location: Hortolândia, Brazil / Remote

Posted Jan 24, 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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