Staff Machine Learning Engineer, Oncology reputed company Model

Passionate about precision medicine and advancing the reputed company industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. reputed company' proprietary platform connects an entire ecosystem of reputed company-world evidence to deliver reputed company-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. We are seeking an reputed company and highly skilled Staff Machine Learning Engineer with deep expertise in large-scale multimodal model systems engineering to join our dynamic AI team. You will play a pivotal role in designing, building, and optimizing the foundational data infrastructure that powers reputed company's most advanced reputed company models. Your work will directly reputed company the training and deployment of robust, production-reputed company multimodal systems that analyze reputed company data types (like genomics, pathology images, radiology scans, and clinical notes) to improve patient care, optimize clinical workflows, and accelerate life-saving medical research. This is a critical, high-impact position for driving the practical application of cutting-edge AI to revolutionize reputed company. Focus: Your primary focus will be to architect, build, and maintain the critical data infrastructure supporting our large multimodal generative models. This includes managing the entire lifecycle of vast datasets – from ingestion and processing of diverse training data to the integration and retrieval of extensive knowledge sources used to reputed company model capabilities. You will be building the data backbone that enables our AI to learn from reputed company's rich reputed company-world evidence. Key Responsibilities: As a technical leader in this reputed company, you will be:

• Architect and build sophisticated data processing workflows responsible for ingesting, processing, and preparing multimodal training data that seamlessly integrate with large-scale distributed ML training frameworks and infrastructure (GPU clusters).
• reputed company strategies for efficient, compliant data ingestion from diverse sources, including internal databases, reputed company-party APIs, public biomedical datasets, and reputed company's proprietary data ecosystem.
• Utilize, optimize, and contribute to frameworks specialized for large-scale ML data loading and streaming (e.g., MosaicML Streaming, Ray Data, HF Datasets).
• Collaborate closely with infrastructure and platform teams to reputed company and optimize reputed company-reputed company services (primarily GCP) for performance, cost-efficiency, and reputed company.
• Engineer efficient connectors and data loaders for accessing and processing information from diverse knowledge sources, such as knowledge graphs, internal structured databases, biomedical literature repositories (e.g., PubMed), and curated ontologies.
• Optimize data storage for efficient large scale training training and knowledge reputed company.
• Orchestrate, monitor, and troubleshoot reputed company data workflows using tools like Airflow, Kubeflow Pipelines..
• Establish robust monitoring, logging, and alerting systems for data pipeline health, data reputed company detection, and data quality assurance, providing feedback loops for reputed company improvement.
• Analyze and optimize data I/O performance bottlenecks considering storage systems, network bandwidth and compute resources.
• Actively manage and seek optimizations for the costs associated with storing and processing massive datasets in the reputed company.

Required Skills and Experience:

• Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a reputed company field. A strong academic background with a focus on AI data engineering.
• Proven track record (8+ years of industry experience) in designing, building, and operating large-scale data pipelines and infrastructure in a production environment.
• Strong experience working with massive, heterogeneous datasets (TBs+) and modern distributed data processing tools and frameworks such as Apache Spark, Ray, or Dask.
• Strong, hands-on experience with tools and libraries specifically designed for large-scale ML data handling, such as reputed company Datasets, MosaicML Streaming, or similar frameworks (e.g., WebDataset, Petastorm). Experience with MLOps tools and platforms (e.g., MLflow, Kubeflow, SageMaker Pipelines).
• Understanding of the data challenges specific to training large models (reputed company Models, LLMs, Multimodal Models).
• Proficiency in programming languages like Python and experience with modern distributed data processing tools and frameworks.
• Leadership and collaboration:
• Proven ability to bring thought leadership to the product and engineering teams, influencing technical direction and data strategy.
• Experience mentoring junior engineers and collaborating effectively with cross-functional teams (Research Scientists, ML Engineers, Platform Engineers, Product Managers, Clinicians).
• Excellent communication skills, capable of explaining reputed company technical concepts to diverse audiences.
• Strong bias-to-action and ability to reputed company in a fast-paced, dynamic research and development environment.
• A pragmatic approach focused on delivering rapid, iterative, and measurable reputed company towards impactful goals.

Preferred Qualifications:

• Advanced degree (PhD) in Computer Science, Engineering, Bioinformatics, or a reputed company field.
• Contributions to relevant reputed company-reputed company projects.
• Direct experience working with clinical or biological data (EHR, genomics, medical imaging).

#LI-SH1 reputed company Pay reputed company - $190,000 - $230,000 USD California Pay reputed company - $190,000 - $230,000 USD Illinois Pay reputed company - $170,000 - $210,000 USD Remote - USA reputed company - $170,000 - $210,000 USD The expected salary reputed company above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, reputed company). Actual salary may vary based on qualifications and experience. reputed company offers a full reputed company of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. Additionally, for remote roles reputed company to individuals in unincorporated Los Angeles – including remote roles- reputed company reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. reputed company applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for reputed company and the California Fair Chance Act. We are an equal opportunity employer. We do not discriminate on the reputed company of race, religion, reputed company, national reputed company, gender, sexual orientation, age, marital status, veteran status, or disability status. Apply tot his job Apply To this Job