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Senior Software Engineer, ML Research

External
lilasciences logoLilasciences · Cambridge, UK
$148K–$210K/yrFull-timeOn-site1mo ago
AirflowArgoCDCI/CDGitHubGitHub ActionsGrafana
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Benefits

We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.Expected Base Salary Range$148,000 - $210,000 USDAbout LILALila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.We're All InLila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy .A Note to AgenciesDental insuranceVision insuranceFlexible scheduleEquity / stock optionsPerformance bonusParental leave

Additional Information

Your Impact at LILA We're hiring a Senior Software Engineer to team with our Machine Learning Engineers and Researchers to build software that powers Lila's ML workflows and research tooling. You will be on a team of software engineers that work alongside machine learning experts to develop, support, and maintain Lila's ML libraries and tools. What You'll Be Building Design and build high-performance, secure, and well-documented Machine Learning libraries that implement the algorithms designed by machine learning researchers and engineers. CI/CD pipelines and integration tests for ML workflows. Architect repository designs to follow consistent standards. Support debugging, logging, and maintenance for Ray-based compute environments. Data ingestion pipelines linking lab data to ML teams. What You'll Need to Succeed Minimum of 8 years of experience writing software in a commercial setting in Go or Python. Experience implementing scalable software solutions. Experience with MLOps systems, GitOps (ArgoCD, Github Actions) Familiarity with orchestration frameworks (Ray, Argo, Airflow). Proficiency in Containerization, Kubernetes and infrastructure-as-code tools. Acute listening skills and patience to deeply understand complex problems and algorithms. Excellent problem-solving skills and team-first mentality. Energetic self-starter and independent thinker with strong attention to detail. Eager to work with highly skilled and dynamic teams in a fast-paced, entrepreneurial, and technical setting. Bonus Points For Proficiency with monitoring and logging tools (e.g., Prometheus, Grafana) Research engineering or scientific software experience.

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