{"id":620429,"url":"https://alion.io/job/ema-principal-machine-learning-engineer","title":"Principal Machine Learning Engineer","company":{"id":26744,"name":"Ema","domain":"ema.ai","url":"https://alion.io/company/ema","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":79,"open_postings":38,"ghost_share":0.263,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":142,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":30000,"max_usd":77000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":34},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"Interpretability","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"ML-Agents","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Okta","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Quantization","optional":false},{"name":"RAG","optional":false},{"name":"Recommender Systems","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"Tool Use","optional":false}],"status":"live","first_seen_at":"2025-10-06T11:44:01Z","employer_posted_date":"2025-10-06","last_verified_at":"2026-10-16T09:31:32Z","board_verified":true,"closed_at":null,"days_open":375,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":374},"description":"About Ema\nEma 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.\nWe 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.\nRole Overview & Key Responsibilities\nThis is a high-leverage leadership role that spans architecture, execution, and org-building, and will shape the direction of our AI / ML initiatives at Ema. We are seeking an AI / ML technical leader who can take a vision and build it. As a Principal ML Engineer at Ema, you will be a senior technical leader responsible for shaping the machine learning roadmap, architecting large-scale ML systems, driving innovation, and ensuring our mixture of expert models (LLM + SLM + Custom Model) is accurate and performant at scale. You will collaborate across teams (research, product, infra, data, etc.), mentor senior engineers, and influence strategy and execution at company-wide levels.\nResponsibilities\nLead the technical direction of GenAI and agentic ML systems that power enterprise-grade AI agents - spanning reasoning, retrieval, tool use, and integrations across various SaaS products.\n\nArchitect, design, and implement scalable production pipelines for model training, fine-tuning, retrieval (RAG), agent orchestration, and evaluation - ensuring robustness, latency efficiency, and continuous learning.\n\nDefine and own the multi-year ML roadmap for GenAI infrastructure - including agent frameworks, RAG systems, world-class evaluation loops, and integration with MCP, browser, and vision pipelines.\n\nIdentify and integrate cutting-edge ML methods / research (deep learning, large models, recommender systems, LLMs, etc.) into Ema’s products or infrastructure.\n\nResearch, prototype, and integrate cutting-edge ML and LLM advancements (reasoning, memory architectures, multi-modal perception, long-context models, autonomous agents) into the platform.\n\nOptimize trade-offs between accuracy, latency, cost, interpretability, and real-world reliability across the agent lifecycle - from prompt design to orchestration and execution.\n\nChampion engineering excellence - drive observability, reproducibility, versioning, testing, and bias-aware development across ML and agentic systems.\n\nMentor and elevate senior engineers and researchers, fostering a culture of scientific rigor, experimentation, and system-level thinking.\n\nCollaborate cross-functionally with product, infra, and research teams to align ML innovation with enterprise needs - enabling secure integrations, privacy-aware deployments, and scalable use cases.\n\nInfluence data strategy - guide how retrieval indices, embeddings, structured/unstructured corpora, and feedback loops evolve to improve grounding, factuality, and reasoning depth.\n\nDrive system scalability and performance - ensuring ML agents and RAG pipelines can operate across billions of knowledge objects, diverse APIs, and real-time enterprise contexts.\n\nRequired Skills & Qualifications\nBachelor’s or Master’s (or PhD) degree in Computer Science, Machine Learning, Statistics, or a related field.\n\nA strong track record (usually 10-12+ years) of applied experience with ML techniques, especially in large-scale settings.\n\nExperience building production ML systems that operate at scale (latency / throughput / cost constraints).\n\nExperience in Knowledge retrieval and Search space.\n\nExposure in building Agentic Systems and Frameworks.\n\nProficiency in relevant programming languages (e.g. Python, C++, Java) and ML frameworks (TensorFlow, PyTorch, etc.).\n\nStrong understanding of the full ML lifecycle: data pipelines, feature engineering, model training, serving, monitoring, maintenance.\n\nExperience designing systems for monitoring, diagnostics, logging, model versioning, etc.\n\nDeep knowledge of computational trade-offs: distributed training, inference, optimizations (e.g. quantization, pruning, batching).\n\nExcellent communication skills; ability to present complex systems / trade-offs to technical and non-technical stakeholders.\n\nExperience mentoring senior engineers; ability to lead technical discussions and influence across orgs.\n\nWhy Join Ema?\nWork at the forefront of agentic AI systems-driving real enterprise transformation.\n\nOwn mission-critical platforms that make or break Ema’s capabilities.\n\nJoin an elite team of engineers, product thinkers, and AI researchers who value deep execution.\n\nHelp define the architectural, cultural, and operational DNA of a company set to define a new category.\n\nOur culture & Values\nHigh Bar on Quality - We value excellence and expect world-class execution.\n\nOwnership & Accountability - We take full responsibility for our work and outcomes.\n\nImpact-Driven Approach - We set ambitious goals and measure success through real-world impact.\n\nTeam Collaboration & Growth - We believe in continuous learning, knowledge sharing, and supporting each other.\n\nNo Hierarchy, Just Execution - Everyone is an individual contributor, focused on delivering results.\n\nCompensation 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.\nEma 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.","description_format":"text","description_chars":6097,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["LLM & Generative AI","AI Agents"],"lifecycle":[{"event":"open","at":"2026-09-10T18:43:48Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.3,"p_room":0.28,"age_days":374,"expected_fill_days":142,"reasons":["conf:1","velocity","ghost","win:tail","crowd:"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/ema-principal-machine-learning-engineer","json_url":"https://alion.io/job/ema-principal-machine-learning-engineer.json","meta":{"generated_at":"2026-10-16T12:32:16Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":11768,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":26744},"rest":"https://alion.io/mcp/rest/get_company?id=26744"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fema-principal-machine-learning-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fema-principal-machine-learning-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fema-principal-machine-learning-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ema-principal-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fema-principal-machine-learning-engineer"}]}