Machine Learning Jobs in Remote

140,605 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.

AR Consultant

Company: CDW

Location: Remote

Posted Jan 22, 2025

Ruby Software Engineers (All Levels)

Company: AppFolio

Location: Remote

Posted Jan 22, 2025

AppFolio, a leading cloud-based software company in the real estate industry, is seeking passionate Ruby on Rails software engineers. They value innovation, collaboration, and customer-centricity. The ideal candidate will develop scalable infrastructure, collaborate with cross-functional teams, and modernize their tech stack. Proficiency in Ruby on Rails, Agile processes, and a strong problem-solving ability are required. The compensation is competitive, ranging from $106,000 to $200,000 or more.

Senior Mainframe CICS Systems Programmer

Company: Ensono

Location: Remote

Posted Jan 22, 2025

The Senior Mainframe CICS Systems Programmer role involves ongoing support for all mainframe CICS, including troubleshooting, problem resolution, and maintenance. Key responsibilities include implementing CICS TS installations & upgrades, providing technical support for multiple CICS TS software solutions, and working directly with software vendors on new solutions and product defects. The role requires a minimum of 10 years of hands-on CICS TS experience on z/OS, strong problem-solving skills, and excellent communication abilities. Ensono offers competitive compensation, flexible work schedules, and a diverse, inclusive work environment.

Product Lead, Growth

Company: ReCharge Payments

Location: Santa Monica, CA / Remote

Posted Jan 22, 2025

Recharge, the leading subscription platform for ecommerce brands, is seeking a Product Lead for Growth. This role involves driving user and revenue growth, designing frictionless user experiences, and optimizing onboarding flows. The ideal candidate will have 7+ years of product management experience, 3+ years in growth product management, and a proven track record in leading growth initiatives. They should be proficient in data analytics, SQL, and tools like Looker, Mixpanel, Amplitude, or Google Analytics. The role requires collaboration with various teams and leading a growth-focused roadmap. Recharge offers competitive compensation, flexible time off, and a range of benefits.

Software Engineer - Distributed Systems (Lisbon)

Company: Datadog

Location: Paris, France / Remote

Posted Jan 22, 2025

Datadog is seeking a Distributed Systems engineer to design, implement, and manage foundational platforms for their applications. The role involves working with data pipelines that ingest, store, analyze, and query billions of events per second from global companies. The platforms are optimized for durability, high availability, low latency, and scalability. The company values a strong office culture, offering a hybrid workplace for work-life harmony. Key responsibilities include building fault-tolerant, scalable solutions in multi-tenant environments, using languages like Go, Java, Rust, or C++, and open-source components such as Kafka, Redis, Cassandra, and Elasticsearch. The ideal candidate should have a scientific degree, significant backend programming experience, and a passion for solving complex problems in a fast-paced startup environment. Datadog offers comprehensive benefits, including stock equity, professional development, mentorship, and a supportive company culture.

Strategic Account Executive (Nordics)

Company: Datadog

Location: Stockholm, Sweden / Remote

Posted Jan 22, 2025

Datadog is seeking a Strategic Account Executive with 3+ years of closing experience, preferably in a SaaS or IT infrastructure environment. The role involves prospecting into large Fortune 1000 companies, understanding their pain points in cloud operations, and delivering appropriate Datadog solutions. The company values a hybrid workplace culture, offering high income earning opportunities, stock equity, professional development, and comprehensive benefits. Datadog is an equal opportunity employer committed to diversity and inclusion.

Software Engineer, Product

Company: Meta

Location: Remote

Posted Jan 22, 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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