AI & ML Engineering
Browse roles for engineers building production ML systems, model pipelines, and applied AI products.
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Verified 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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Posted 14 hours ago
Who We AreOur mission is to make the world programmable. Sight is one of the key ways we understand the world, and soon this will be true for the soft...
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Posted 15 hours ago
About TensorWaveOur mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform t...
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Posted 22 hours ago
Mission Summary: The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are respo...
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Posted 23 hours ago
What You’ll Do: Work on large-scale solutions for mining challenging driving scenarios to boost learned model performance across various autonomou...
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Posted 1 day ago
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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Posted 1 day ago
Be Part of Building the Future Dremio is the unified lakehouse platform for self-service analytics and AI, serving hundreds of global enterprises, inc...
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Posted 1 day ago
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that suppo...
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Posted 1 day ago
About Figure Figure (NASDAQ: FIGR) is transforming capital markets through blockchain. We’re proving that blockchain isn’t just theory - it’s powering...
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Posted 1 day ago
About Figure Figure Technology Solutions, Inc. (Nasdaq: FIGR; OPEN: FGRS) is the leading blockchain-native capital marketplace for the origination, fu...
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Posted 1 day ago
Our vision is to build the next generation platform to enable easy and fast creation of audio and video content powered by cutting-edge AI. Building a...
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Browse roles for engineers building production ML systems, model pipelines, and applied AI products.
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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.
Remote data scientists earn $80K–$160K/year. Entry-level roles start around $65K–$90K. Mid-level positions with production ML or experimentation platform experience earn $100K–$135K. Senior data scientists who influence product roadmap and lead experiment design reach $140K–$170K.
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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