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.

Industry Account Executive for National Reconnaissance Office and National Geospatial-Intelligence Agency

Company: Planet

Location: Remote

Posted Jan 23, 2025

Planet is a global company that designs, builds, and operates the largest constellation of imaging satellites, delivering empirical data via a cloud-based platform. They are seeking a National Geospatial Intelligence Agency (NGA) and National Reconnaissance Office (NRO) Account Executive based in the Washington, D.C. metro area. The role involves managing existing contracts, expanding sales growth, and developing new business opportunities with NGA and NRO. The ideal candidate should have 6-8 years of experience in the US Department of Defense or Intelligence Community, a Bachelor's degree, U.S. citizenship, and a TS/SCI security clearance. They should also have experience in Software and/or Data as a Service sales, prospecting, and closing deals with Federal customers.

Sr. Product Designer - Calcite Brand Design System

Company: Esri

Location: Remote

Posted Jan 23, 2025

Esri is seeking a marketing design team member with 5+ years of experience in designing for web and mobile platforms. The role involves contributing to the Calcite Brand design system, architecting Figma environment, defining detailed design specifications, and facilitating design reviews. The ideal candidate should have a strong understanding of user-centered design principles, excellent communication skills, and experience with Figma, Adobe Experience Manager, and front-end technologies. Esri offers competitive total rewards including health benefits, 401(k) programs, and opportunities for professional growth.

Software Engineer III

Company: Walmart Global Tech

Location: Remote

Posted Jan 23, 2025

The job posting is for a Senior Software Engineer position in Walmart's Indirect Procurement Technology team. The role involves developing and deploying complex SAP applications, managing project progress, and providing solutions to functional issues. The ideal candidate should be an innovator, customer-centric, and comfortable with influencing others. They should have strong communication skills, a test-and-learn mentality, and experience in SAP S4 functional MMIP. The position offers competitive pay, performance-based bonuses, and a range of benefits including health, financial, and paid time off benefits. The annual salary range is $90,000 - $180,000.

Associate Recruiter

Company: GlossGenius

Location: New York, NY / Remote

Posted Jan 23, 2025

Senior Named Account Executive, Public Sector - Melbourne/Victoria

Company: Cloudflare

Location: Remote

Posted Jan 23, 2025

Cloudflare, a leading company in the Internet infrastructure sector, is seeking a highly experienced Senior Named Account Executive for its ANZ Victorian Public Sector business. The role involves building relationships within government agencies, understanding their IT needs, creating new business opportunities, and driving large transformational outcomes. The ideal candidate should have 10-20+ years of B2B selling experience, 5-10+ years in Public Sector accounts, and a strong track record in solution selling. Cloudflare is known for its commitment to protecting the free and open Internet, with initiatives like Project Galileo, Athenian Project, and 1.1.1.1. The company values diversity and inclusiveness, and is an equal opportunity employer.

Senior CICS Mainframe Systems Programmer

Company: Ensono

Location: Remote

Posted Jan 23, 2025

Ensono is seeking a candidate with extensive experience in the zSeries (mainframe) platform, particularly with CICS TS and OEM product support. The role involves providing premium software support and services to Ensono's mainframe clients related to CICS, including fulfilling customer service orders, primary support for reported problems, and 24/7 support across multiple time zones. The candidate will also assist in customer migrations, disaster recovery tasks, and product upgrades. Ensono values flexibility, work-life balance, and offers benefits such as unlimited PTO, health plans, and a 401(k) match.

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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