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.

VP of Product - Devices

Company: Life360

Location: Remote

Posted Jan 23, 2025

Life360, a company with 77 million monthly active users, is seeking a VP of Product to lead a team in developing world-class devices. The role involves strategic product leadership, growth strategy, team leadership, user-centric approach, cross-functional alignment, and a strong technical understanding. The ideal candidate will have extensive experience in hardware NPI, understanding of user needs, and a proven track record in leading global product teams. They should be data-driven, a strong strategic thinker, and a passionate advocate for user experience. Life360 offers comprehensive benefits including insurance, retirement plans, flexible PTO, and a free Platinum Membership.

Senior Machine Learning Engineer

Company: Atlassian

Location: San Francisco, CA / Remote

Posted Jan 23, 2025

Atlassian, a distributed-first company, is seeking a Senior Machine Learning Scientist for its Central AI team in Bellevue, WA. The role involves developing and implementing cutting-edge machine learning algorithms, collaborating with various teams, and integrating AI functionalities into Atlassian products. The ideal candidate should have a degree in Computer Science, 3+ years of industry experience, expertise in Python or Java, and experience in building and scaling ML models. Atlassian offers competitive compensation, perks, and a culture that values diverse perspectives.

Senior Software Engineer, Full Stack - Shopping (Remote)

Company: Capital One

Location: McLean, VA / Remote

Posted Jan 23, 2025

Capital One Shopping is seeking a Senior Software Engineer with at least 3 years of professional experience. The role involves collaborating with Agile teams, designing and developing technical solutions, and utilizing various programming languages and cloud services. The ideal candidate should have experience in Java, Scala, Python, Go, or Node.js, and be familiar with AWS, GCP, Azure, or other cloud services. The position offers competitive salaries and benefits, and is eligible for performance-based incentives. Capital One is an equal opportunity employer committed to diversity and inclusion.

GenAI Architect

Company: ServiceNow

Location: Sydney, Australia / Remote

Posted Jan 23, 2025

Staff Software Engineer - Database Monitoring

Company: Datadog

Location: Boston, MA / Remote

Posted Jan 23, 2025

Staff Software Engineer - PostgreSQL

Company: Datadog

Location: Boston, MA / Remote

Posted Jan 23, 2025

Datadog's Database Monitoring team is developing a groundbreaking product to automatically identify and resolve database issues, enhancing query performance. The role involves creating Postgres extensions, contributing to core Postgres changes, developing automated recommendations, and building observability telemetry. The ideal candidate should have strong Postgres internals knowledge, past contributions to Postgres or related tooling, and experience leading technical initiatives in performance-focused environments. Datadog offers a competitive salary, equity package, and comprehensive benefits.

Senior Product Manager, Consumer Insights

Company: Axios

Location: Remote

Posted Jan 23, 2025

Axios, a reputable media company, is seeking a Senior Product Manager for Consumer Insights. The role involves leading data-driven strategies, collaborating across departments, and utilizing the company's data platform to create valuable insights. The ideal candidate should be an expert in consumer insights, agile methodologies, and data analysis. They must possess strong communication skills and the ability to turn complex data into understandable business narratives. Axios offers a competitive salary, comprehensive benefits, and a positive work environment.

メインフレーム スペシャリスト/ Expert Infrastructure specialist

Company: Kyndryl

Location: Tokyo, Japan / Remote

Posted Jan 23, 2025

Kyndryl is seeking experienced professionals in mainframe infrastructure design, construction, migration, and operation. The role involves working as an IT specialist on related projects, focusing on data center transfers or consolidations. The successful candidate will lead planning and execution of design, construction, transfer, and migration of mainframe systems, manage a team, and engage in specialist activities in the technical field. Kyndryl offers opportunities for continuous growth, including certification and qualifications on the job, with many Infrastructure Specialists advancing to Architect or Distinguished Engineer roles. The company values diversity, inclusivity, and customer success, providing state-of-the-art resources and benefits to support employee well-being.

Machine Learning Engineer II, ML Fraud

Company: Affirm

Location: Remote

Posted Jan 23, 2025

Affirm, a company revolutionizing credit with flexible buy now and pay later options, is seeking a Machine Learning Engineer II to join their ML Fraud team. The role involves developing sophisticated models for real-time transaction decisions, leveraging cutting-edge algorithms and proprietary data to detect and prevent online fraud. The engineer will collaborate with experts to tackle complex challenges, create innovative solutions for emerging fraud patterns, and advance Affirm's fraud detection capabilities. The position requires 2+ years of experience in machine learning, proficiency in Python, and experience with large scale distributed systems like Spark and Ray. Affirm offers competitive compensation, comprehensive benefits, and a remote-first work environment.

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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