AI & ML Engineering
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Remote roles in data science — predictive modelling, experimentation, forecasting, and analytics at AI-driven companies.
Data science roles on RemoteAI are at companies where analytical rigour shapes product decisions. Positions cover predictive modelling, A/B experimentation, forecasting systems, and decision support — alongside ML engineers and product teams. The focus is on roles where data science drives measurable business outcomes, not just reporting.
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Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. To...
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Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows,...
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CodeRabbit is the leading AI code review platform, trusted by more than 17,000 customers and 150,000 open-source projects, conducting over 2 million c...
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On this journey for over 12 years, Qventus is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient car...
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On this journey for over 12 years, Qventus is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient car...
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Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion r...
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Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion r...
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On this journey for over 12 years, Qventus is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient car...
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Posted 1 week ago
Motional
Remote U.S. · also open in 1 other location
Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai...
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Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are de...
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Explore opportunities built for candidates in LLM systems, machine learning, MLOps, automation, and applied AI delivery.
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Browse roles for engineers building production ML systems, model pipelines, and applied AI products.
Browse JobsFind jobs in LLM products, retrieval systems, prompt design, and language-first AI workflows.
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Some candidates start with AI & ML Engineering jobs for product and model delivery, while others focus on NLP & Prompt Engineering jobs for LLM products, MLOps & AI Infrastructure jobs for production reliability, or AI Product & Strategy jobs for roadmap and adoption work.
FAQ
Remote data science jobs involve using statistical methods, machine learning, and domain knowledge to extract useful insight from data. Typical work includes building predictive models, running A/B experiments, building forecasting systems, and communicating findings to business stakeholders.
Most data science roles require Python or R, strong SQL, and experience with at least one ML framework (scikit-learn, XGBoost, or similar). Senior roles additionally expect experimentation design, business communication skills, and the ability to translate data findings into roadmap decisions.
Yes. Data scientists focus on insight, experimentation, and decision support. ML engineers focus on building production systems. Some data science roles include model deployment; others are purely analytical. RemoteAI lets you filter by role type to find the right fit for your background.
The US median wage for data scientists was $120,230 a year in May 2025 (U.S. Bureau of Labor Statistics); the lowest-paid 10 percent earned under $67,240 and the highest-paid 10 percent over $199,130. Self-reported total pay at tech companies, with stock and bonus, has a median of $180,000 (Levels.fyi, checked October 2026). Our data scientist salary guide breaks this down by industry and level.
Yes, though the market has matured. Companies now hire more selectively — favouring candidates with strong SQL, business communication skills, and the ability to translate data into decisions. Candidates who also understand AI and LLM systems have a significant advantage in the current market.
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