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The Opportunity Price is the most important component of an insurance product, with the ability to drive customer delight through lower prices unlocked by state-of-the-art predictive modeling. The Pricing Platform team…
Job Description Job Description Senior Machine Learning Engineer Senior Machine Learning Engineer | AI/Healthcare | $180K-$240K Jersey City, NJ | Hybrid | Full-Time We're working with a fast-growing technology company…
Develop ML models to track human motion and health insights for Apple devices using sensor fusion and deep learning.
ML QA Engineer at Apple ensuring quality of iOS/macOS creativity apps through evaluation strategy, test automation, data analysis, and working with annotation teams using Python/Swift with ML, computer vision, NLP, and generative AI.
Build and maintain C-models for Google's custom ML accelerator silicon, collaborating with hardware and software teams to deliver bit-accurate system models using C, C++, and Python.
The Machine Learning Engineer will develop large-scale machine learning models and natural language processing systems to improve query understanding and ranking for Siri Search. The role involves building infrastructure to process web-scale data and deploying evaluation metrics to enhance search features across Apple products.
Senior Machine Learning Engineer designing and improving core ad-response models (pCTR, conversion prediction) for Instacart’s ads platform, using deep learning, causal inference, and sequence modeling to enhance ranking and retrieval systems.
Senior ML engineer at Instacart builds and optimizes a unified ranking platform that powers search, recommendations, ads, and merchandising using multi-task learning, causal models, and LLMs.
Senior ML engineer in Operations Research builds optimization and AI models to improve Instacart’s order batching, shopper routing, and real-time assignment systems, using Python, ML frameworks, and combinatorial optimization.
Build and deploy ML models for Instacart’s ad systems, focusing on response prediction, ranking, and auction optimization across consumer surfaces.
Builds and deploys ML models to predict real-time in-store inventory and stocking dynamics across thousands of retail locations, collaborating with engineers and data scientists to improve grocery delivery accuracy and operational efficiency.
Reporting to: Principal Data Scientist Location: Helsinki/ 2 days Hybrid About the Role: We're looking for a passionate and skilled Machine Learning Engineer to enhance and evolve our trademark search engine. In…
The Senior ML Engineer will develop and deploy machine learning products to improve business performance at BizAway. The role involves collaborating with data analysts and engineers to manage the full lifecycle of ML models.
Insurify is seeking a Senior Machine Learning Engineer to design and deploy ML models that optimize insurance product ranking and marketing bidding strategies. The role involves end-to-end ownership of ML solutions, from problem formulation to production, using Python and SQL in a collaborative, hybrid environment.
The Staff Machine Learning Engineer will own the real-time fraud detection and decisioning platform, building and maintaining the full ML lifecycle. The role involves scaling infrastructure, ensuring low-latency model serving, and driving technical standards across the engineering team using GCP and modern ML tooling.
You will own the real-time decisioning platform for fraud detection and prevention. You will build feature infrastructure, maintain consistency between training and serving, operate low-latency scoring services, design…
AI/ML internship at a quantitative trading firm; the posting provides no details on daily tasks or specific technologies.
Lead a team of engineers designing and deploying machine learning models to extract map features from massive datasets. Use ML, Computer Vision, and GenAI to impact mapping and in-car systems while managing strategy and technical direction for Google Maps.
The Data & AI/ML Platform Engineer will design and build scalable infrastructure, APIs, and developer tools to support AI/ML workloads and enhance the developer experience at LC Waikiki. The role involves optimizing performance for AI/ML training and inference while collaborating across teams to advance the company's digital transformation.
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