--- title: 'Software Engineer, Machine Learning at Ema' canonical: 'https://feeny.ai/job/software-engineer-machine-learning-ema-bengaluru-1b4nv12senjj' type: 'job' last_seen: '2026-10-14' --- # Software Engineer, Machine Learning at Ema - **Company:** Ema - **Location:** Bengaluru, India - **Employment:** full-time - **Posted:** 2025-09-18 - **Last confirmed live:** 2026-10-14 - **Apply:** https://jobs.ashbyhq.com/ema/88d004d9-50a9-41ee-a618-03855001a9be ## Job description ## About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. ## Who you are We're looking for an innovative and passionate Machine Learning Engineers to join our team. You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions. You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact. You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related Machine Learning technologies. Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact. You will: - Conceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems. - Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems. - Lead the processing and analysis of large, complex datasets (structured, semi-structured, and unstructured), and use your findings to inform the development of our models. - Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment. - Implement A/B testing and other statistical methods to validate the effectiveness of models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. - Clearly communicate the technical workings and benefits of ML models to both technical and non-technical stakeholders, facilitating understanding and adoption. Ideally, you'd have: - A Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field. - 7+ years of industry experience in building and deploying production-level machine learning models. - Deep understanding and practical experience with NLP techniques and frameworks, including training and inference of large language models. - Deep understanding of any of retrieval, ranking, reinforcement learning, and agent-based systems and experience in how to build them for large systems. - Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch. - Excellent skills in data processing (SQL, ETL, data warehousing) and experience working with large-scale data systems. - Experience with machine learning model lifecycle management tools, and an understanding of MLOps principles and best practices. - Familiarity with cloud platforms like GCP or Azure. - Familiarity with the latest industry and academic trends in machine learning and AI, and the ability to apply this knowledge to practical projects. - Good understanding of software development principles, data structures, and algorithms. - Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. - The ability to work collaboratively in an extremely fast-paced, startup environment. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics. ## About Ema ## Company Overview - **One-liner**: Ema provides a universal agentic control plane that enables enterprises to build, deploy, and scale autonomous AI agents to automate complex workflows across every business function. - **Entity Type**: Private (Series A) - **Headquarters**: San Francisco, California, United States - **Founded**: March 2023 - **Founders**: Surojit Chatterjee (Co-Founder & CEO), Souvik Sen (Co-Founder & CTO) ## Core Business - **Primary industry**: Enterprise AI Software / Generative AI / Agentic AI - **Target customers**: Large enterprises across healthcare, financial services, legal, and technology sectors (B2B, Enterprise) - **Mission or purpose statement**: To give business and IT leaders one place to build, deploy, and scale AI Agents across every function—HR, Finance, Sales, Customer Support, Legal, and beyond. The company believes the future of work is "humans multiplied by AI Employees," not humans replaced by AI. ## Products & Services - **Ema Universal Agentic Control Plane**: A platform for building, deploying, and scaling AI Agents across all enterprise functions. - **EmaFusion™**: A patented AI fusion layer that blends 100+ LLMs to optimize for accuracy, cost, and latency on every query, without vendor lock-in. - **GWE™ (Generative Workflow Engine)**: The orchestration core that breaks complex enterprise workflows into multi-agent steps, with built-in human-in-the-loop, audit trails, and async operations. - **Enterprise Context Graph**: Deep, permissioned memory across an organization's data, systems, and processes so every AI Employee knows the business from Day One. ## Market Standing - **Valuation**: Not publicly disclosed - **Total Funding**: $75 million (across multiple rounds) - **Seed Round** (March 2024): $25M led by Prosus Ventures and S32 - **Series A** (July 2024): $36M led by Accel and S32 - **Additional Series A** (March 2026): $14M from 9 investors - **Notable Investors/Partners**: Accel, S32 (Section 32), Prosus Ventures, Hitachi Ventures, KPMG (strategic investment) - **Growth Signals**: - Employee headcount grew 89.2% year-over-year to 155 people. - Operates in 6 countries (US, India, UK, Canada, UAE, Germany). - Trusted by global enterprises across highly regulated industries. - Holds certifications including ISO 42001 (world's first AI management standard), SOC 2 Type II, ISO 27001, and HIPAA. - Supports on-premises and air-gapped deployment, a significant differentiator for security-conscious enterprises. ## Competitive Advantages - **EmaFusion™ Technology**: A proprietary multi-model approach that blends over 100 LLMs, optimizing for accuracy, cost, and latency while avoiding vendor lock-in. - **Enterprise-Grade Security & Compliance**: One of the few agentic AI platforms that supports on-premises and air-gapped deployment, with certifications like ISO 42001, SOC 2 Type II, ISO 27001, and HIPAA. - **Deep Enterprise Integration**: Pre-integrated with 200+ enterprise systems, with a permissioned "Enterprise Context Graph" that provides deep, institutional memory. - **Strong Strategic Backing**: Backed by top-tier VCs (Accel, S32) and a strategic investment from KPMG, signaling strong enterprise credibility. ## Strategic Focus - **Product Expansion**: Continuing to build out the agentic AI platform to cover more enterprise functions and workflows. - **Enterprise Adoption**: Deepening relationships with large, regulated enterprises (healthcare, financial services, legal). - **Global Scale**: Expanding operations across key markets (US, India, UK, Canada, UAE, Germany) to support a global customer base. - **Trust & Compliance**: Maintaining and expanding certifications (ISO, SOC 2, HIPAA) to meet the highest enterprise security standards. ## Why Work Here - **Culture**: Ema describes itself as an "AI-first" company that hires "fewer people with a hunger and growth mindset" and augments the human workforce with AI employees. Core values include being innovative, trusted, relentlessly driven, and bold. - **Engineering Philosophy**: The company has a published "Engineering Manifesto" and emphasizes hiring "builders and creators." They believe a "10x team is better than a 10x individual" and operate with a "no wait, no boundaries" approach. - **Work Environment**: "Everyone builds" is a key principle—employees are expected to write software, create original content, and build new processes regardless of their formal role. - **Remote/Hybrid Policy**: Not explicitly stated, but offices are located in the SF Bay Area (US), India, UK, and Canada, suggesting a global, likely hybrid-friendly setup. - **Talent Pool**: The company attracts talent from top tech companies (Google, Meta, Amazon, Coinbase, Databricks) and top universities (IIT Delhi), indicating a high-caliber peer group. - **Open Roles (as of mid-2026)**: 32 active job postings, including roles in ML Engineering, Backend Engineering, DevOps, Product Management, Security & Compliance, and Marketing. ## Sources 1. [ema.ai/careers](https://www.ema.ai/careers) 2. [jobs.ashbyhq.com/ema](https://jobs.ashbyhq.com/ema) 3. [Crunchbase - Ema](https://www.crunchbase.com/organization/ema-8724) 4. [LinkedIn - Ema](https://www.linkedin.com/company/ema-unlimited) 5. [Tracxn - Ema](https://tracxn.com/d/companies/ema/__ksb3jUKrtsxUjw6V-pJ_Daac843jAQUG62LqeRWEGJ0) ## Other roles at Ema - [Devops Engineer, US](https://feeny.ai/job/devops-engineer-us-ema-mountain-view-6xs6vam1xfxy) — Mountain View, CA - [IT Engineer](https://feeny.ai/job/it-engineer-ema-san-francisco-1g6631qr9fjg) — San Francisco, CA - [AI Resident UK/EMEA](https://feeny.ai/job/ai-resident-uk-emea-ema-united-kingdom-499aq5tctc5a) — United Kingdom - [Sales Development Representative](https://feeny.ai/job/sales-development-representative-ema-united-states-5xq9tbb76n09) — United States - [Software Engineer, Full-Stack](https://feeny.ai/job/software-engineer-full-stack-ema-san-francisco-zetv3r0q2r6n) — San Francisco, CA - [Software Engineer, Machine Learning](https://feeny.ai/job/software-engineer-machine-learning-ema-vancouver-chp4xdz8xx6m) — Vancouver, Canada - [Field Marketing Manager, EMEA](https://feeny.ai/job/field-marketing-manager-emea-ema-united-kingdom-ftj8q0ayw809) — United Kingdom - [Software Engineer, Full-Stack](https://feeny.ai/job/software-engineer-full-stack-ema-vancouver-ktj8sbzdgr3w) — Vancouver, Canada - [Partner Manager - UK](https://feeny.ai/job/partner-manager-uk-ema-united-kingdom-wjefgt06nw9f) — United Kingdom - [Product Manager, UK](https://feeny.ai/job/product-manager-uk-ema-united-kingdom-c5rn0ymc65x6) — United Kingdom