Machine Learning Jobs in Remote

140,721 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.

(Sr.) Data Scientist

Company: Instacart

Location: Remote

Posted Jan 22, 2025

Director, Enterprise Sales (Germany)

Company: Datadog

Location: Mühlhausen, Germany / Remote

Posted Jan 22, 2025

Datadog is a global SaaS business that delivers growth and profitability while enabling digital transformation, cloud migration, and infrastructure monitoring. They offer high income earning opportunities, continuous professional development, and an inclusive company culture. The company values people from all walks of life and encourages passion for technology.

Product Marketing Manager

Company: Ada

Location: Remote

Posted Jan 22, 2025

Talent Acquisition Coordinator - Contractor (Remote)

Company: CrowdStrike

Location: Remote

Posted Jan 22, 2025

CrowdStrike, a global leader in cybersecurity since 2011, seeks a Talent Acquisition Coordinator Contractor. The role involves managing candidate interview schedules, ensuring an excellent candidate experience, and coordinating travel and lodging accommodations. The ideal candidate should have experience in calendaring/scheduling, HR databases, and candidate management systems. They should possess strong interpersonal skills, attention to detail, and the ability to work in a fast-paced environment. Bonus points for a degree in HR or related field with 1-2 years of HR experience.

Senior DevOps Engineer

Company: Esri

Location: Remote

Posted Jan 22, 2025

Esri is seeking a DevOps Engineer with 5+ years of experience in coding, problem-solving, and debugging software. The role involves collaborating with SREs and DevOps engineers to operate SaaS capabilities across multi-cloud providers, maintaining CI/CD pipelines, and designing operational components. The ideal candidate should have experience with configuration management tools, version control, build systems, and continuous integration/deployment tools. Familiarity with cloud infrastructure provisioning APIs, containers, and databases is required. Esri offers competitive total rewards, including health benefits, 401(k) programs, vacation leave, and opportunities for professional growth. The company values diversity and inclusion, and is an equal opportunity employer.

Communications Associate

Company: Patrick J McGovern Foundation

Location: Remote

Posted Jan 22, 2025

The Patrick J McGovern Foundation is seeking a Communications Associate to join their team. The role involves spreading awareness about the Foundation's work, AI and data science solutions, and the impact of grant partners. The Associate will lead projects, manage social media, develop content, plan events, and collaborate with cross-functional teams. The role also includes participation in the Rising Leaders for Equity Rotational Program. The ideal candidate should have a background in communications, public relations, journalism, or marketing, and possess strong communication, analytical, and graphic design skills. The Foundation offers competitive compensation, health coverage, long-term rewards, flexible PTO, remote work environment, wellness support, parental leave, learning reimbursements, and philanthropic gift matching.

People and Culture Associate

Company: Patrick J McGovern Foundation

Location: Remote

Posted Jan 22, 2025

The Patrick J McGovern Foundation is seeking an early career People and Culture Associate to join their team. The role involves working closely with the People Team and other foundation leaders to develop HR programs, support the employee lifecycle, and participate in the Rising Leaders for Equity Rotational Program. The ideal candidate will have a background in human resources, business management, or a related field, with strong communication skills and the ability to work independently and collaboratively. The foundation offers competitive compensation, health coverage, long-term rewards, flexible PTO, remote work environment, wellness support, parental leave, learning reimbursements, and philanthropic gift matching. The foundation is committed to inclusion, diversity, equity, and accessibility.

PhD Data Partner - Economics, Finance, Accounting

Company: TELUS Digital

Location: Remote

Posted Jan 22, 2025

TELUS International AI is seeking a PhD Data Partner to work remotely with flexible hours. The role involves contributing to the global AI Community, which consists of over 1 million contributors from diverse backgrounds. The successful candidate will help collect, enhance, train, translate, and localize content to build better AI models for some of the world's largest brands. The position requires a PhD in Economics, Finance, or Accounting, along with strong English writing skills. The hiring process includes a subject-specific qualification exam and ID verification. TELUS International AI is committed to equal opportunities and diversity.

Project Management Associate

Company: Patrick J McGovern Foundation

Location: Remote

Posted Jan 22, 2025

The Patrick J McGovern Foundation is seeking a Project Management Associate to assist in AI-based product development and deployment. The Associate will gain hands-on project management experience in AI and data science, working alongside a diverse team. The role involves collaborating with stakeholders, ensuring projects align with timelines, budgets, and quality expectations. The Associate will also participate in the Rising Leaders for Equity Rotational Program, a two-year professional development opportunity. Key responsibilities include defining project scopes, developing project plans, contributing to sprint planning, acting as a liaison between technical teams and stakeholders, and facilitating meetings. The ideal candidate should have a background in Computer Science, Information Technology, Business Administration, or a related field, with a strong understanding of software development workflows, Agile methodologies, and sprint management. Effective communication, organizational skills, and a genuine enthusiasm for building a humancentered tech-enabled future are required. The Foundation offers competitive compensation, health coverage, long-term rewards, flexible PTO, remote work environment, wellness support, parental leave, learning reimbursements, and philanthropic gift matching.

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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