--- title: 'Applied Scientist (ML) at Samaya AI' canonical: 'https://feeny.ai/job/applied-scientist-ml-samaya-ai-mountain-view-california-8zkyjqgcr3v1' type: 'job' last_seen: '2026-09-11' --- # Applied Scientist (ML) at Samaya AI - **Company:** Samaya AI - **Location:** Mountain View California, United States - **Posted:** 2025-07-17 - **Last confirmed live:** 2026-09-11 - **Apply:** https://job-boards.greenhouse.io/samayaai/jobs/4791004007 ## Job description ## Role 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/. ## Responsibilities - 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 ## Experience 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 ## Compensation The cash compensation range for this role is $190,000 - $275,000. Final offer amounts are determined by multiple factors, including experience and expertise, and may vary from the amounts listed above. In addition to the base salary, we may consider equity as part of our total compensation package. ## Benefits Health: Access comprehensive health insurance, including medical, dental, vision, flexible spending account (FSA), and short-term disability. Wealth: Support for your long-term financial wellbeing with a 401(k) and pre-tax benefits (e.g. commuting). Rest: Enjoy flexibility to rest and recharge as needed, with unlimited PTO (Paid Time Off). Flexibility: Work flexibly with a hybrid setup - typically team members spend a minimum of three days in the office per week. Travel: Grow and connect with a travel budget that encourages conference attendance, customer visits, and team gatherings. Equipment: Create your ideal workspace with an office Equipment allowance to set up what works best for you. Inclusive Hiring Interview Accommodations: We are committed to ensuring an equitable selection process for everyone and welcome applicants from varied backgrounds to enrich our team. If you require accommodations or adjustments during our recruitment process, please inform us. Equal Opportunity Employer: We do not discriminate on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor. Visa Sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. If we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. ## About Samaya Samaya AI builds Expert AI Agents for investment professionals, supporting high-stakes investment workflows across leading financial institutions. By combining finance-specific AI models with deep reasoning over institutional context and global markets, Samaya helps investors go from information to conviction. Samaya is deployed at enterprise scale across hedge funds, asset managers, and banks, including more than 12,000 professionals at one of the world's largest financial institutions. Built by a team from Google DeepMind, Meta, Microsoft, and Stanford with 100+ papers and 50k+ citations, it achieves 98% accuracy on financial reasoning tasks where generic LLMs reach 53%. Backed by leading AI investors including NVIDIA, Databricks Ventures, NEA, Eric Schmidt, and Yann LeCun, Samaya continues to advance the next generation of AI for investment professionals. Our Operating Principles 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. ## About Samaya AI ## Company Overview - **One-liner**: Samaya AI builds expert AI agents for financial services, turning real-time global market information into investment conviction for professionals at leading banks, hedge funds, and asset managers. - **Entity Type**: Private (Series A / Growth Stage) - **Headquarters**: London, United Kingdom (with US headquarters in Mountain View, California) - **Founded**: 2022 - **Founders**: Maithra Raghu, PhD (CEO), Fabio Petroni (Co-Founder), Ashwin Paranjape, PhD (Founding AI Lead) ## Core Business - **Primary industry**: AI-powered financial technology (FinTech / Enterprise AI) - **Target customers**: B2B – bulge-bracket banks, hedge funds, private equity firms, wealth managers, investment banks, and sell-side research teams - **Mission / Purpose**: Reimagine investment decision making by enabling a new level of human-AI collaboration, empowering every investor with trusted, domain-expert AI agents that are reliable, instructable, and able to seamlessly zoom in and out of global market complexity. ## Products & Services - **Expert AI Agents** – Domain-specific AI agents that answer questions, generate financial models, reports, and presentations. They automate complex multi-step workflows (e.g., earnings analysis, scenario modelling, market monitoring) with 96% accuracy (vs. 57% for leading GPT-based systems), auditable logs, and real-time data integration. - **Agent Control Plane (ACP)** – A purpose-built architecture launched in February 2026 for designing, running, and governing custom AI agents. It includes a Planner, Long Horizon Executor, Memory module, Reasoning module, and Context Management, allowing users to tailor agents via natural language and maintain transparency. - **Workflow templates** – Pre-built agents for Hedge Funds, Private Equity, Investment Banking, Sales & Trading, Wealth Management, and Sell-Side workflows, integrating internal enterprise data with external content. ## Market Standing - **Valuation / Market Cap**: Not disclosed (private company) - **Key Metric**: Total funding raised – $43.5M (as of Feb 2026) - **Notable Investors / Partners**: New Enterprise Associates (Series A lead), NVentures (NVIDIA’s venture arm), Databricks Ventures. Morgan Stanley is a reference client with over 10,000 seats deployed. - **Growth Signals**: Deployed across 10,000+ seats at one of the world’s largest banks; won competitive pilots against 40 vendors at a top-5 hedge fund; team has 33 employees (+2.9% monthly growth); presence across US, UK, Italy, Australia; recently launched the Agent Control Plane with new investment from NVentures and Databricks. ## Competitive Advantages - **Superior accuracy**: Independent benchmarks show 96% accuracy vs. 57% for GPT-based tools, thanks to a proprietary LLM engine and finance-specific models. - **Domain depth**: Founders and team bring experience from top AI labs (Google DeepMind, NVIDIA, etc.) and over 100 research papers / 50,000 citations. - **Operational transparency**: SOC 2 compliant, sandboxed VMs, granular permission management, full audit logs, and isolated execution environments. - **Proven enterprise traction**: Already in production at a bulge-bracket bank, with multi-division adoption (Research, Sales & Trading, Banking). ## Strategic Focus - **Scale the Agent Control Plane (ACP)** as the “institutional intelligence layer” for financial services. - **Expand customizable AI agents** for new workflows and geographies, leveraging new investment from NVIDIA and Databricks. - **Deepen integration** with enterprise data and external sources to support high-stakes, compliant decision-making. - **Grow the team** to accelerate product development and client deployments. ## Why Work Here - **Culture**: Diverse, collaborative team with thoughtful leadership and a clear product vision. The careers page emphasizes respect, curiosity, trust, and sustainable growth. - **Work model**: Hybrid – typically minimum three days per week in the office (London or Mountain View). - **Perks & benefits**: - Comprehensive health insurance (medical, dental, vision, FSA, short-term disability) - 401(k) and pre-tax benefits (e.g., commuting) - Unlimited PTO - Office equipment allowance - Travel budget for conferences, customer visits, and team gatherings - **Engineering culture**: Strong AI-first focus; team includes former members of Google DeepMind, NVIDIA, Meta, Amazon Web Services, and top universities. Opportunities to work on cutting-edge AI agents for high-stakes finance. ## Sources 1. [Samaya.ai](https://samaya.ai/) 2. [Samaya.ai/about](https://samaya.ai/about) 3. [Samaya.ai/careers](https://samaya.ai/careers) 4. [LinkedIn - Samaya AI](https://www.linkedin.com/company/samaya-ai) 5. [CB Insights - Samaya AI](https://www.cbinsights.com/company/samaya-ai) ## Other roles at Samaya AI - [Product Marketer](https://feeny.ai/job/product-marketer-samaya-ai-mountain-view-california-z2172fha2gsx) — Mountain View California, United States - [Executive Assistant to CEO](https://feeny.ai/job/executive-assistant-to-ceo-samaya-ai-mountain-view-california-rbmac2d70p0d) — Mountain View California, United States - [Product Designer](https://feeny.ai/job/product-designer-samaya-ai-mountain-view-california-fc1nwvz1kg2w) — Mountain View California, United States - [Product Manager - Finance](https://feeny.ai/job/product-manager-finance-samaya-ai-new-york-new-york-7jgn5dagvfp5) — New York New York, United States - [Enterprise Account Executive](https://feeny.ai/job/enterprise-account-executive-samaya-ai-new-york-new-york-nhq2cyxqrpvb) — New York New York, United States - [ML Research Intern](https://feeny.ai/job/ml-research-intern-samaya-ai-mountain-view-california-wbdhr5hp3bsw) — Mountain View California, United States - [Backend Engineer](https://feeny.ai/job/backend-engineer-samaya-ai-mountain-view-california-twcnpmqkz1h7) — Mountain View California, United States