Ema Unlimited
Software Engineer, Machine Learning
Vancouver, BC
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About the role
- 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.
- Our ML team works on the loop that makes them better: production traces become data, data becomes training and evaluation, and better agents produce better traces.
Responsibilities
- Ema builds AI Employees for HR, IT and Finance.
- BUILD AGENTS THAT LEARN FROM THE WORK THEY DO.
- Ema builds AI employees that carry out complex workflows across enterprise applications.
- Designing systems to support complex, long-horizon agent work across a multitude of modalities and platforms
Requirements
- Depth you can defend.
- One area you can teach us beats five you've touched.
- You can size an experiment, choose meaningful baselines and held-out tests, and account for variation across tasks, seeds and repeated runs.
- You can distinguish a real improvement from judge bias, data leakage or a benchmark shortcut.
- You can debug across the model and system boundary, isolate a failure, and turn the result into maintainable production code.
Skills
- Environments and rewards.
Compensation
- Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience.
Benefits
- 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.
Company info
- 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.
- WHAT WE'RE LOOKING FOR - Depth you can defend.
This listing is sourced directly from Ema Unlimited's careers page and normalized into a canonical job model.