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.

Staff Front End Software Engineer

Company: Laika

Location: Santa Ana, Costa Rica / Remote

Posted Jan 24, 2025

Thoropass, a rapidly expanding tech company based in New York, is seeking a Senior Front End Developer for a virtual opening in select LATAM locations. The role involves building and maintaining applications, working closely with the Product Manager, and contributing to the codebase. The ideal candidate should have 8+ years of front-end development experience in JS and React, a passion for delivering exceptional customer experiences, and strong communication skills. The company offers competitive compensation, healthcare, early equity, work-from-home flexibility, and a commitment to diversity and inclusion.

Sales

Company: J. J. Keller & Associates, Inc.

Location: Fond du Lac, WI / Remote

Posted Jan 24, 2025

Supervisor, Client Support (Remote)

Company: Broadridge

Location: Remote

Posted Jan 24, 2025

Broadridge is seeking a Team Supervisor for a remote role. The ideal candidate will lead, coach, and mentor a team, ensuring high performance and productivity. They will develop strategies to improve team efficiency, monitor KPIs, and collaborate with other teams for client issue resolution. Preferred qualifications include a bachelor's degree, bi-lingual skills, proven leadership, strong interpersonal skills, and proficiency in Microsoft Office Suite and CRM software. Broadridge values a diverse, equitable, and inclusive environment, offering comprehensive benefits and a flexible work model.

Senior DevOps Engineer

Company: Restaurant365

Location: Remote

Posted Jan 24, 2025

Restaurant365, a SaaS company revolutionizing the restaurant industry, seeks a Senior DevOps Engineer. The role involves managing infrastructure, automation, and cloud services, with a focus on public cloud environments like Azure or AWS. Key responsibilities include automating public cloud environments, architecting services, container management, continuous deployment, and setting configuration standards. The ideal candidate will have extensive DevOps experience, automation skills, and proficiency in scripting languages. Azure and/or AWS administration experience, along with Linux and Windows knowledge, is required. The position offers a salary range of $120,000-$150,000, comprehensive benefits, and equity options.

Regional Vice President, Enterprise Sales - Southeast Territory (Remote)

Company: Grand Rounds Health

Location: Remote

Posted Jan 24, 2025

Included Health, a tech-driven healthcare company, is seeking an Enterprise Sales Director. The role involves selling the company's suite of products to large employers (5,000-20,000 employees) to enhance their healthcare offerings. The ideal candidate should have 7+ years of sales experience, a proven track record in the enterprise west coast market, and strong relationship-building skills. The company, recognized as a 2019 Best Place to Work and a UCSF Digital Health Award winner, aims to revolutionize healthcare through technology.

Senior Data Pipeline Engineer

Company: EVERFI

Location: Remote

Posted Jan 24, 2025

EVERFI, a global technology company, is recognized for its innovative approach to education, addressing societal issues like financial wellness and mental health. Founded in 2008, it has impacted over 41 million learners worldwide. The company's Impact-as-a-Service solution has earned accolades from Fast Company and Fortune Magazine. EVERFI's Senior Data Engineer role involves leading the establishment of an enterprise data model, architecture, strategy, and roadmap. The role requires expertise in data storage products, ETL solutions, large-scale data architectures, data manipulation languages, data visualization technologies, and code hosting platforms. The company offers competitive benefits, a casual work environment, and a strong commitment to diversity and inclusion.

Lead Backend Engineer

Company: Appfire

Location: 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.

Related Pages