Senior Software Engineer, ML Research

3 мес. назад

USASenior

pythongogitopsargocdgithub actionsrayairflowkubernetes

Senior Software Engineer working with Machine Learning teams to develop and maintain ML software libraries and tools.

Будет плюсом

Proficiency with monitoring and logging tools (e.g., Prometheus, Grafana)
Research engineering or scientific software experience.

Условия

We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
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.

Другое

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.
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.
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.
Lila 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.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at
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.
Lila 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 .
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.