Lead AI model development for cancer diagnostics and translational oncology research.
Responsibilities
Process and analyze large NGS datasets to develop biomarkers
Develop novel algorithms for feature extraction and biomarker discovery
Translate research questions into tractable problems
Apply state-of-the-art machine learning and deep learning methods
Create evaluation frameworks and track experiments using MLflow or Weights & Biases
Requirements
PhD in Data Science, Bioinformatics, Computational Biology, Genomics, Statistics, Computer Science, Engineering, Biophysics, or related quantitative or biological field
Nice to have: Multi-omics integration experience
Nice to have: Experience with epigenetics (DNA methylation analysis, chromatin biology)
Nice to have: Interest in cell-free DNA, liquid biopsy, next-generation early cancer diagnostics
Nice to have: Interest in novel algorithm development for biomedical signal extraction
Senior ML Engineer to build customer-facing AI platform and deliver production ML systems
Compensation
For this position, our hiring range for base annual pay is estimated to be CAD $160-200k at the time of this posting
Responsibilities
Take customer problems from idea to working prototype quickly, prove or kill an approach with data, and move what works into production
Train, fine-tune, and evaluate models for matching, classification, and extraction problems
Design and ship RAG systems, embedding-based retrieval, and LLM-powered features on AWS
Own the full ML lifecycle: experiment tracking, model versioning, deployment, monitoring, and retraining
Build evaluation that tells us whether something works: labeled golden sets, offline metrics (precision, recall), LLM-as-judge where it fits, and shadow or A/B testing before rollout
Build and maintain intelligent systems, validation frameworks, synthetic data generation models and monitoring pipelines that keep the data ecosystem healthy for Apple’s AI and ML features.
Locations (4)
Austin, Texas, United States
Cupertino, California, United States
New York City, New York, United States
San Diego, California, United States
Responsibilities
Build and maintain intelligent systems, validation frameworks, synthetic data generation models and monitoring pipelines
Own the health of training and validation datasets
Build and maintain intelligent systems, validation frameworks, synthetic data generation models and monitoring pipelines to ensure data quality for AI/ML models across Apple’s Wallet, Payments, and Commerce products.
Locations (4)
Austin, Texas, United States
Cupertino, California, United States
New York City, New York, United States
San Diego, California, United States
Responsibilities
Own the health of the data ecosystem that underpins ML and GenAI features
Build validation frameworks and observability metrics
Lead telemetry analysis for model performance and data drift
Build and maintain intelligent systems, validation frameworks, synthetic data generation models and monitoring pipelines to ensure data integrity for machine learning models across Wallet, Payments, and Commerce.
Locations (4)
Austin, Texas, United States
Cupertino, California, United States
New York City, New York, United States
San Diego, California, United States
Responsibilities
Build and maintain intelligent systems, validation frameworks, synthetic data generation models, and monitoring pipelines.
Own the health of the data ecosystem that underpins ML and GenAI features.
Lead the design, development, and deployment of autonomous AI agents for operations workflows, driving efficiency and customer experience for Latin immigrants in the US.
Responsibilities
Design end-to-end AI solutions for ops workflows
Architect, ship, and maintain stateful AI agents
Implement observability and monitoring for agentic workflows
Integrate AI agents into ops systems with least-privilege access
Lead the design, development, and deployment of autonomous AI agents for operations, integrating them into CX workflows and ensuring performance, safety, and business impact.
Compensation
Competitive salary
Initial stock options grant
Annual performance bonus
Health, Dental, and Vision Insurance for U.S. employees
Health Insurance for employees in Argentina, Brazil, Egypt, India, Indonesia, Jamaica, Kenya, Mexico, Nepal, Nigeria, Pakistan, Philippines, Poland, Romania, Serbia, Spain, Ukraine
Machine Learning Engineer, AI/ML Model QualityApple · Austin, US+3 more
Senior AI Engineer, Ops LabsFelix Technologies, Inc. · Remote, Colombia