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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Machine Learning Engineer - **Company:** ENIGMA PRODUCTIONS - **Location:** United States - **Experience:** Expert - **Salary:** $180,000.0 - $295,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Automated Storage and Retrieval Systems, Computer Programming, Distributed Systems, Elasticsearch, Information Retrieval, Python (Programming Language), Machine Learning, Performance Tuning, Recommender Systems, Search Technologies, Software Engineering, Cloud Platform System, Large Language Models, Database Optimization, Backend, Data Delivery, Service Stack - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/senior-staff-machine-learning-engineer-match-team-enigma-7923996 ## About the Role * Brings 5+ years of experience across machine learning, software engineering, data science, or data-intensive product systems * Has strong programming proficiency in Python and experience operating within cloud environments (AWS preferred) * Demonstrated applied, production-level expertise in two or more of the following technical domains: information retrieval, ranking systems, NLP/embedding models, or distributed systems. * Has experience designing, fine-tuning, and operating high-scale backend systems, APIs, or data delivery platforms * Brings strong judgment in ambiguous environments where relevance signals and ground truth are noisy or implicit * Effectively communicates technical concepts and tradeoffs to technical and non-technical audiences * Thrives in highly collaborative environments with strong ownership and fast iteration cycles * Has an advanced degree in a quantitative discipline or equivalent deep industry experience, * Have deep experience with our core stack (Typesense, Python, AWS) or similar retrieval infrastructure (Elasticsearch, OpenSearch, FAISS) * Have built customer-facing search or recommendation systems or APIs * Have worked on query understanding, embeddings, LLM-powered retrieval, or hybrid search systems * Have mentored senior engineers or data scientists and raised the technical bar across disciplines ## Description At the core of Enigma's product is our data, which makes both data science and delivery systems central to what we build. As a Senior/Staff ML Engineer on the Match Team, you will lead efforts that improve the relevance, latency, and scalability of our customer-facing data products. You'll work across the full lifecycle: framing retrieval and ranking problems, developing models and experimentation strategies, evaluating results using real-world signals, and implementing high-throughput search and retrieval systems. This role is ideal for someone who is excited by both hard ranking/search problems and the systems challenges of turning those solutions into low-latency, production-grade retrieval systems., * Build and optimize low-latency, high-throughput search APIs, indexing pipelines, and retrieval systems using Python, Typesense, and AWS * Evaluate and evolve our search technology stack, driving technical design decisions across indexing strategies, retrieval architecture, and system performance tradeoffs * Lead end-to-end work from research design through experimentation, productionization, and customer-facing delivery * Design evaluation frameworks for measuring relevance, precision/recall, ranking quality, and user engagement signals * Improve query understanding via techniques like embedding models, vector search, hybrid retrieval, and query rewriting * Detect and investigate anomalies in search performance, ranking behavior, and data freshness, tracing issues to root cause * Partner closely with Product, Engineering, and client stakeholders to improve search experience and discoverability * Mentor teammates and help raise the bar for experimentation rigor, system design, and operational excellence, * Technical Challenge: This role spans some of the hardest challenges in search relevance, large-scale retrieval systems, ranking models, APIs, and distributed systems. If you like a technical challenge, this role is for you. * Ownership: You'll have meaningful autonomy to shape both research direction and the production systems that power it, including having a strong voice in our tooling and vendor ecosystem. * Customer Proximity: Your work will directly influence how sophisticated customers integrate Enigma data into critical workflows and decision-making systems. ## Related Videos - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Introducing a Digital Service Catalog for speed and scale](https://www.wearedevelopers.com/videos/763-introducing-a-digital-service-catalog-for-speed-and-scale) - [Implementing continuous delivery in a data processing pipeline](https://www.wearedevelopers.com/videos/73-implementing-continuous-delivery-in-a-data-processing-pipeline) - [How E.On productionizes its AI model & Implementation of Secure Generative AI.](https://www.wearedevelopers.com/videos/623-how-e-on-productionizes-its-ai-model-implementation-of-secure-generative-ai) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [Machine Learning for Software Developers (and Knitters)](https://www.wearedevelopers.com/videos/154-machine-learning-for-software-developers-and-knitters) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe)