Lila Sciences

Lila Sciences

Associate Director, App

Cambridge, MA USA; San Francisco, CA USA · Director · Full-time

Sponsorship not specified$204k-$306kDetected 50 days ago
TypeScriptPythonReactFastAPIFull-Stack DevelopmentGitSQLNoSQLAWSKubernetesTerraformCI/CDGitHub ActionsDevOpsMachine LearningLLMsRAGAgentic AIAI OrchestrationRecruitingPerformance ManagementResearchLeadershipCollaboration

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odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

10 transfer filings in the last year, covering 10 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • The Application Team sits at the center of LILA - the integration point where Machine Learning, Life Sciences, Physical Sciences, and Software become one AI-native experience that carries a scientist from hypothesis to experiment to breakthrough results.
  • AI isn't a feature here - it's the architecture.
  • Agent frameworks, tools, and LLM orchestration are core primitives, not bolt-ons.

Responsibilities

  • Team Leadership: Build, mentor, and manage a high-performing team of 8-10 engineers spanning full-stack, agent, and platform expertise.
  • Manage team workload, prioritize projects, and ensure timely delivery of high-quality solutions.
  • Technical Strategy & Execution: Define and execute the technical roadmap for LILA's application layer aligning with LILA's broader AI and product strategy. Drive innovation in how scientists interact with AI-driven systems.
  • Cross-Functional Collaboration: Partner with ML researchers, scientists, product managers, and other engineering leaders to understand scientific workflows and translate them into product capabilities.
  • Communicate technical concepts effectively to both technical and non-technical audiences; manage expectations and ensure alignment across teams.
  • 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 Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges.
  • Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.

Requirements

  • Applied AI Engineering leadership: Experience shipping products built on AI agents, graph-based workflows, tool-use protocols (MCP), RAG pipelines, or LLM orchestration frameworks.
  • Scientific domain exposure: Experience with laboratory software, analytics for life sciences or material sciences, or adjacent scientific computing domains.
  • Your final offer will reflect your background, expertise, and expected impact.

Nice to have

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • Deep technical judgment on Applied AI (agents, MCP, context engineering) and across the full stack (React, TypeScript, Python, FastAPI, SQL/NoSQL, AWS, Kubernetes).
  • able to explain complex ideas to diverse audiences.
  • Thought leadership in the applied-AI community via conference talks, blog posts, or open source.

Skills

  • Your Impact at LILA
  • Scientists shouldn't have to context-switch between a dozen tools to go from hypothesis to result.
  • AI isn't a feature here - it's the architecture. Agent frameworks, tools, and LLM orchestration are core primitives, not bolt-ons.

Compensation

  • 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
  • Expected Base Salary Range
  • $204,000 - $306,000 USD
  • USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.

Benefits

  • 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
  • International Benefits.
  • Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region.

Company info

  • The problems are genuinely hard. Connecting AI to automated lab workflows, ML pipelines, and multi-domain knowledge graphs means inventing patterns, not copying them.
  • You'll lead engineers who learn domains they never expected. Working shoulder-to-shoulder with lab scientists and ML engineers means your team's technical surface area grows fast.
  • Your team ships things that matter. The tools they build accelerate research timelines from months to days.

Visa & Work Authorization

  • al employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status
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This listing is sourced directly from Lila Sciences's careers page and normalized into a canonical job model.