Gilead Sciences

Gilead Sciences

Senior Manager, Machine Learning Platform Engineer

United States - California - Foster City · Senior

Sponsorship not specified$158k-$204kDetected 67 days ago
TypeScriptPythonBashGitSQLDatabricksAWSAzureCloud PlatformsDockerKubernetesTerraformCI/CDGitHub ActionsDatadogPlatform EngineeringMachine LearningTensorFlowPyTorchscikit-learnSparkData EngineeringData ScienceMLOps

Stay score

odds of building a lasting career here

60Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role85
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.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level III · 3×
Level I$94,3701 entry
Level II$123,8432 entries
Level III$153,3173 entries
Level IV$182,7904 entries

$25,200 more — $182,790 — moves this role to Level IV and 4 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $182,790 would place this position at wage Level IV. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Bakersfield-Delano, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 4 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 71%

Of 38 labor certifications old enough to have been used, 11 expired without the employer filing the next step. Median time from filing to decision: 482 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

34 transfer filings in the last year, covering 34 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

  • This ML Platform Engineer will have the unique opportunity to apply cutting-edge data and AI technologies to one of the most meaningful challenges in healthcare: ensuring the quality of medicines that improve and save lives.
  • As a pivotal member of R&D Quality, this role will help transform how quality insights are generated, scaled, and acted upon across Gilead's drug development and clinical research programs.
  • Working closely with data scientists, the engineer will operationalize models through robust data pipelines, cloud infrastructure, monitoring, automation, and MLOps practices, transforming analytical prototypes into scalable, production-ready solutions.

Responsibilities

  • The ML Platform Engineer will partner with the Quality Analytics & Insights team, a small, high-impact group responsible for advancing data science, analytics, and AI capabilities across R&D Quality.
  • Develop and maintain pipelines to transition models from experimentation to production, including packaging, CI/CD, automated testing, and deployment.
  • Model Lifecycle Management: Develop and maintain pipelines to transition models from experimentation to production, including packaging, CI/CD, automated testing, and deployment.
  • Data Pipeline Development: Design robust batch and streaming data workflows; integrate, define, and manage feature sets, lineage, and reuse across QMS data sources (e.g., Audit, Deviation, CAPA, Risk Management).
  • Production Operations & Monitoring: Ensure the reliability and scalability of data pipelines; implement effective logging, tracing, and alerting.
  • AI & Agent Systems Support
  • Prompt & Instruction Design: Help design and maintain prompt and instruction patterns, including context and memory handling, that translate Quality analytics requirements into clear, well-scoped directives with defined acceptance criteria.
  • Efficiency & Optimization: Where AI tooling is used, apply sensible practices to manage context usage and cost, balancing capability with available budget.
  • Design validation pipelines with automated quality gates, including type checking, linting, integration tests, and contract tests.
  • Join Gilead and help create possible, together.

Requirements

  • Bachelor's Degree and Eight Years' Experience
  • Masters' Degree and Six Years' Experience

Nice to have

  • Degree in computer science, computer engineering, information systems, or a related discipline with relevant experience in ML engineering, data engineering, or ML operations
  • Significant hands-on experience operationalizing data/ML solutions end-to-end, including data engineering, pipeline development, deployment, and production monitoring.
  • Strong programming skills in key languages such as Python, SQL, Go, and TypeScript, with proven ability to manipulate large and complex datasets using distributed computing technologies.
  • Familiarity with AWS cloud services.
  • Strong troubleshooting and problem-solving skills.
  • Experience with CI/CD, infrastructure-as-code, and cloud-based ML platforms.
  • Proficiency with Databricks distributed processing (Spark), data orchestration, and similar data and BI technologies.
  • Empower Teams - connect the team to the organization by aligning goals, purpose, and organizational objectives, and holding them to account.

Skills

  • Programming & scripting: Python and SQL; scripting with Python, Bash, or PowerShell.
  • Source control: Git and source control management.
  • CI/CD & release management: Working knowledge of CI/CD tools and release management (e.g., GitHub Actions).
  • Cloud platforms: Hands-on experience with a major cloud provider (AWS or Azure).
  • Containers: Container technologies (Docker; Kubernetes).
  • Data & ML platform: Databricks.
  • Core ML understanding: Understanding of model evaluation and scoring, including avoidance of model bias.
  • Cloud infrastructure / infrastructure-as-code: Terraform; broader cloud engineering experience (AWS preferred).
  • AI/ML packages: Experience with common AI/ML libraries such as scikit-learn, PyTorch, TensorFlow, and XGBoost.
  • Monitoring & logging: Datadog, Splunk, CloudWatch, or Prometheus.
  • Infrastructure concepts: Understanding of networking, security, and infrastructure fundamentals.

Compensation

  • $157,590.00 - $203,940.00.
  • Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location.
  • These considerations mean actual compensation will vary.
  • This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package.

Benefits

  • include company-sponsored medical, dental, vision, and life insurance plans*.
  • Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans.
  • We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference.
  • Support model serving for Quality use cases such as signal detection, risk analytics, and Quality Performance/Quality Health models.

Company info

  • At Gilead, we're creating a healthier world for all people.
  • Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact.
  • As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations.
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This listing is sourced directly from Gilead Sciences's careers page and normalized into a canonical job model.