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Senior Machine Learning Research Engineer
Build and scale generative and predictive ML models for cellular behavior using PyTorch and distributed training, bridging research prototypes to production-grade systems in a TechBio company.
Senior Machine Learning Engineer (Platform / MLOPs)
Build and scale the ML infrastructure that powers Nearmap’s aerial imagery AI, including batch inference, real-time serving, and LLM platforms on AWS/GCP, while owning reliability and developer tooling.
Principal AI/ML Scientist
Principal AI/ML Scientist at Lululemon designs and delivers enterprise-scale AI solutions (e.g., generative AI, multimodal systems) to transform retail operations, product innovation, and customer experiences.
Senior. AI Engineer – LLM Research Engineer
Build and optimize large language models for insurance workflows, focusing on post-training, evaluation, and inference performance to improve underwriting and claims processing.
Principal AI/ML Applied Scientist
Principal AI/ML Applied Scientist defines enterprise AI solutions, invents new models, and translates research into production systems to drive measurable business impact across retail domains.
Senior Graph AI Research Engineer
Lead the design and scaling of graph-based and transformer AI models, building production ML pipelines and optimizing distributed training/inference systems for structured-data intelligence.
Principal AI/ML Architect
Principal AI/ML Architect designs and advises on production ML systems, MLOps/LLMOps pipelines, and GenAI architectures on AWS for enterprise clients, translating technical depth into business value.
lululemon Senior AI/ML Engineer
Senior AI/ML Engineer builds, deploys, and scales production-grade AI systems including LLMs, RAG pipelines, and MLOps tooling to power lululemon’s retail and customer experiences.
Head of Applied AI Research & Development
Lead a team turning cutting-edge AI research into enterprise-scale products, focusing on generative AI, agentic systems, and reasoning architectures to drive Vanguard’s strategic goals.
Computer Vision Engineer
Build underwater computer-vision algorithms for fish tracking and sustainable aquaculture using deep learning, 3D vision, and real-time edge deployment on Jetson/GPU.
Staff Software Engineer (Machine Learning Platform)
Lead the design and architecture of Stripe’s ML Platform, building scalable systems for training, serving, and monitoring ML models that power fintech products like Payments and Radar.
Ingénieur en machine learning/Machine Learning Engineer, ProServe Shared Delivery Team - Data & AI
Build and deploy end-to-end AI/ML and GenAI solutions on AWS for enterprise clients, designing scalable pipelines and advising on cloud architectures.
Lead AI Engineer
Lead the design and deployment of AI/ML features for a commercial real estate SaaS platform, including LLM-powered tools and custom domain models, while setting engineering standards and mentoring teams.
Member of Technical Staff, Multimodal Speech
Builds and optimizes speech and audio capabilities for multimodal AI models, focusing on ASR, TTS, and real-time systems from data pipelines to production deployment.
Member of Technical Staff, Multimodal Vision
Build and improve multimodal AI models that understand and generate text, images, and video for real-time user experiences.
Member of Technical Staff, Pretraining
Research and develop large-scale multimodal AI pretraining systems, optimizing data pipelines and training infrastructure to advance foundation models for real-time, intuitive intelligence.
Member of Technical Staff, Mid-training
Builds mid-training strategies for large multimodal AI models to improve reasoning, planning, and tool-use capabilities at scale.
Machine Learning Research Engineer
Research engineer builds and tests ML models, benchmarks pipelines, and profiles systems using Ray and AI agents to improve Tower Research’s trading infrastructure.
Applied AI Scientist
Build and deploy large-scale AI foundation models for machine-generated data (logs, graphs, time series) to improve reliability, security, and predictive insights across Splunk’s observability and security platforms.