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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Applied Scientist (ML) - **Company:** Samaya AI, Inc. - **Location:** United States - **Experience:** Experienced - **Salary:** $190,000.0 - $275,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Collaborative Learning, Systems Analysis, Python (Programming Language), Machine Learning, Natural Language Processing, Software Deployment, Reinforcement Learning, Pytorch, Retrieval-Augmented Generation, Large Language Models, Deep Learning, Information Technology, Machine Learning Operations, Software Coding - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/applied-scientist-ml-samaya-ai-7808482 ## About the Role Required * PhD or Master's degree in Computer Science, Machine Learning, NLP, or a related field * Strong background in deep learning, large language models, and NLP techniques * A strong track record of first-author publications in top AI/NLP conferences (e.g., NeurIPS, ICML, ACL, EMNLP) * Proficiency in Python and deep learning frameworks such as PyTorch or Transformers, and strong coding skills Preferred * 2+ years of experience in an industry applied ML research environment * Familiarity with retrieval-augmented generation, reasoning, LLM training and reinforcement learning techniques ## Description As an Applied Scientist (ML) at Samaya, you will collaborate closely with our product and engineering teams, and use cutting-edge ML research to transform how users interact with Samaya in their daily workflows. You'll drive impact across the entire ML lifecycle: from problem formulation and system analysis to data collection, benchmark development, model training, and production deployment. You'll also have opportunities to publish your work and deliver impact to the ML community. Your expertise will advance our capabilities in these critical technical domains: * Retrieval, ranking and RAG * LLM post-training and reinforcement learning * AI agents for knowledge workflows * ML benchmarks Your work has the potential to transform the following key Samaya products and deliver impacts to tens of thousands of professional users: Instant QA: Our custom-built Question Answer system using state of the art in house models, seamlessly trained to work together to enable instant expert intelligence. Agents: You will enable expert-level agentic workflows to automate comprehensive knowledge work and enable AI tools that work with experts to gain new insights. You can read some of our previous ML work at: https://samaya.ai/blog/ and https://samaya.ai/research/., * Formulate an ML problem from product requirements * Analyze existing ML systems for their limitations, and propose and validate novel methodologies to improve upon existing systems * Create and productionize cutting-edge research prototypes for knowledge work at scale * Build novel ML evaluation datasets that serve as crucial criteria for production feature rollouts * [Optionally] Mentor ML interns and publish your research findings with the community, Put Users first. Our users rely on us to do their jobs. We exist because our users trust us to help them achieve their goals. In return for this trust users place in us, we keep their needs as our top priority. Win as a collective. We are high achievers with a drive to succeed. We build strong bonds over this shared drive. We dive in to help when one of us needs it. We're kind to each other and boost each other to succeed and grow professionally and personally. We build trust with each other by making commitments and consistently delivering on them. This trust means we genuinely support each other, embracing feedback as a tool for growth and improvement. We win by operating this way, as one team. Focus and iterate quickly. Bias for action makes us build and learn quickly. Iterating fast requires clarity on what outcomes we are targeting and why. Prioritizing the important things, taking full ownership and initiative, making fast initial progress, and rapid iterations lead to the best outcomes. Innovate Relentlessly. We pursue novel insights, challenging the status quo and reimagining how things are done. We aren't attached to the past when improving our product and how we work in the future. We actively invest time in innovation, thinking "outside the box" to consistently raise our standards. Prioritize Outcomes over Egos. We are committed not to a person, an idea, or an opinion but to continuously making progress to our goals. Sometimes, our goals are ambiguous; in those moments, we iterate, learn, and move on to the next inquiry. We ask the tough questions with kindness, dropping our egos in our pursuit of evidence. For our business goals, we learn from our users. For our scientific goals, our understanding is built through rigorous experimentation, research, and observation. For our personal goals, we embrace candid feedback and collaborative learning to guide our progress. ## Related Videos - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [How AI Models Get Smarter](https://www.wearedevelopers.com/videos/1374-how-ai-models-get-smarter) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Unleashing the Power of Developers: Why Cybersecurity is the Missing Piece?!?](https://www.wearedevelopers.com/videos/712-unleashing-the-power-of-developers-why-cybersecurity-is-the-missing-piece) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Inside the Mind of an LLM](https://www.wearedevelopers.com/videos/1617-inside-the-mind-of-an-llm) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)