ML Engineer - Simula

Job Description Job Description ML Engineer — Simula Location: San Francisco, CA (Onsite preferred) Compensation: $160,000 – $220,000 base + 0.5% – 1.0% equity Visa Sponsorship: None available Experience Level: 0–6 years Employment Type: Full-Time About Simula Simula is building the ad layer for the AI entertainment era — interactive brand experiences embedded natively across the next generation of consumer apps, games, and interactive platforms. Backed by a16z plus a roster of gaming and ad tech strategic investors who closed millions in revenue commitments alongside a recent seed round. The team is three and a half engineers today, and this is the first dedicated ML specialist hire. Simula is not chasing the LLM and AI agent hype cycle. This is interactive entertainment infrastructure built on traditional ML — recommendation systems that used to be the hottest seat in tech. The team is looking for engineers who want depth on real ML work. About the Role Simula is hiring an ML engineer to own the recommendation engine that decides, in real time, which ad reaches which user at which moment — across millions of daily interactions and tens of millions in annualized ad spend. This is a full-stack ML role: from data pipelines to model architecture to production serving, with direct business impact at every layer. What You'll Build Recommendation engine: Design and ship a low-latency ad ranking system (retrieval → ranking → reranking) that selects the optimal campaign and creative for each ad opportunity, balancing advertiser ROAS against user experience ML training infrastructure: Architect the data pipelines and feature stores that power continuous model training across reward signals User and context modeling: Build representations of user behavior from conversational data, engagement history, and contextual signals (geo, device, session context, characters interacted with) Serving infrastructure: Build the stack for sub-second latency and cost efficiency given tight per-impression unit economics Requirements 0–6 years of ML engineering experience — strong new grads welcome Shipped at least one ML system in production (not just research or notebooks) Backend depth across data architecture, feature pipelines, and serving infrastructure end to end Hybrid infrastructure + ML background Zero-defect mindset with meticulous attention to latency, scalability, and reliability Comfort with ambiguity — delayed rewards, fatigue modeling, cold start are open problems here Bias toward shipping and early-stage pace Based in SF or willing to relocate quickly — in-person preferred Nice to Have Recommendation systems, ranking, or ad experience at scale PyTorch fluency AdTech experience Curiosity about AI-native products and interactive entertainment Interview Process Pending approval Initial generalist call with Yizhen (CEO/Founder) 15-minute CTO chat Take-home assignment In-person chats with team Offer Logistics Role is onsite in San Francisco — please only apply if you can commit to this No visa sponsorship available Shortlisted candidates will be contacted by David Joseph & Co. , the recruiting partner managing this search on behalf of Simula.