- Zscaler (San Jose, CA)
- …and agility with a cloud-first strategy. We're hiring a talented Sr. Staff Machine Learning Engineer to join our growing ML /AI team at Zscaler. The team focuses ... + 7+ years of experience as a Machine Learning Engineer , with extensive experience in data modeling,...services (such as AWS, Google Cloud, or Azure) and ML automation platforms , such as Kube Flow… more
- The Walt Disney Company (Glendale, CA)
- … wrangling tools (eg, Pandas, NumPy), databases (eg, MySQL, PostgreSQL), and big data platforms (eg, Spark, Databricks, Jupyter, Snowflake, Airflow, GitHub). + ... drive the security and operation anomaly detection initiatives within the **Commerce, Data ,** **and Identity Alliance.** We're seeking experienced ML engineers… more
- JPMorgan Chase (Palo Alto, CA)
- …optimize infrastructure usage and costs + Design and develop scalable AIOps solutions to support AI/ ML and Data Platforms + Implement data pipelines and ... Analytics Office), we drive our firm's strategic investments in AI/ ML and data -oriented tools and capabilities. Our...reliability for CDAO-hosted managed services. As a Principal Software Engineer (Cloud Platforms ) at JPMorgan Chase within… more
- LiveRamp (San Francisco, CA)
- …analytics and AI capabilities, we're looking for a Senior Analytics & Insights Engineer to develop scalable data solutions and intuitive tools that bring ... gain insights, and make better decisions - powered by platforms like Vertex AI, BigQuery ML , and...ML , and Tableau. You will: + Collaborate with data engineering to define and refine scalable data… more
- Kohler Co. (Palo Alto, CA)
- …+ Build and maintain ML pipelines to perform complex statistical analyses and architect/train ML models on large data sets of unique data + Design, ... 3+ years hands on experience in building and maintaining data science applications and AWS + Sagemaker ML...statistics, or another STEM field + Experience with large data sets, distributed computing, and cloud computing platforms… more
- Capital One (San Francisco, CA)
- Distinguished AI Engineer (Generative AI, Agentic Frameworks) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For ... questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We...value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their… more
- Unity Technologies (San Francisco, CA)
- …with MLOps workflows (eg, model serving, monitoring, versioning). + Familiarity with common data tools and platforms + Interest in building scalable systems and ... **San Francisco, CA, USA** **Senior Machine Learning Engineer ** Location San Francisco, CA, USA Department Engineering...opportunity to grow your skills while working on real-world ML problems at scale. **What you'll be doing** +… more
- Unity Technologies (San Francisco, CA)
- …This is a unique opportunity to work at the intersection of SDK development, data infrastructure, and ML -building solutions that support billions of global ad ... **San Francisco, CA, USA** **Staff SDK Engineer ** Location San Francisco, CA, USA Department Engineering...+ Implementing robust instrumentation standards and contributing to scalable data collection practices for ML use cases.… more
- Walmart (Sunnyvale, CA)
- …leverage real-time data for insights, and seamlessly integrate with partner platforms across the Walmart ecosystem.A flagship initiative of the team, Ship With ... **Position Summary ** As a Senior Software Engineer you are responsible for developing high performance...the backbone of one of the fastest-growing e Commerce platforms Walmart Marketplace, where third-party sellers meet millions of… more
- DoorDash (Sunnyvale, CA)
- …Learning Engineer , you will have the opportunity to leverage our robust data and machine learning infrastructure to develop ML models that impact millions ... delivery! We are bringing on a talented Machine Learning Engineer to help us improve the operational efficiency of...opportunity because you will + Build time-dependent statistical and ML models that solve product needs across our verticals… more