Spark Jobs

Databricks

Databricks is seeking a Staff Backline Engineer to join their critical bridge team between Frontline Support and Engineering. This role focuses on handling complex technical issues and escalations within the Data and AI ecosystem, with a strong emphasis on customer success and proactive issue resolution. The engineer will be a technical expert and escalation point for challenging ML/AI issues, working collaboratively with Support, Engineering, Product, and customers to troubleshoot, identify root causes, and drive resolutions. The team prioritizes automation and tooling to enhance troubleshooting efficiency and improve platform supportability.

$0k - $0k

Databricks

As a Sr. Manager of the Data & AI Support Engineering team, you will lead and manage a team of Technical Solutions Engineers responsible for driving deep technical resolutions for complex customer issues across Spark, AI/ML, Streaming, and Lakehouse platforms. You will help customers realize business value from Databricks Ecosystem products through strong technical leadership, AI-first operational innovation and customer-centric execution. The mission is to lead and scale a world-class AI-first Data & AI Support Engineering organization that combines deep technical expertise, operational excellence, intelligent automation and customer-centric support to accelerate issue resolution, improve platform reliability and drive exceptional customer outcomes across enterprise-scale Data and AI workloads.

We are seeking a hands-on Data Engineer to contribute to the development and scaling of our modern data platform. This role involves close collaboration with Finance, Engineering, Product, and Analytics teams to build robust, high-performance data pipelines and systems. You will work with both batch and real-time data processing technologies, ensuring data quality, accessibility, and usability across the organization. A key aspect of this role will be enabling data activation, ensuring high-quality data flows into business tools and powering next-generation AI-driven applications, including agent-based systems, by establishing strong data foundations and pipelines. This is an excellent opportunity for individuals who thrive on solving end-to-end data challenges, from ingestion to insights.

$180k - $220k

Anthropic

Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Staff level Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems.

$500k - $850k

NVIDIA is at the forefront of the AI revolution, exploring the next frontier of Physical AI, which involves machines that can perceive, reason about, and act within the three-dimensional world. The NVIDIA Cosmos platform provides open foundation models for Physical AI, designed to interpret images, video, and text to create a structured understanding of physical scenes, including motion, object interactions, geometry, and physical context. These models serve as the reasoning layer for robots, autonomous vehicles, and smart infrastructure. The Cosmos Engineering team is responsible for developing the core capabilities behind these models and is seeking a Senior Deep Learning Engineer to lead the data engine and end-to-end training verification for 3D spatial reasoning and perception. This role involves ensuring models accurately learn and represent 3D spatial concepts, working closely with research scientists to translate hypotheses into measurable capabilities in shipped models, and focusing on the critical role of data and evaluations in achieving frontier model quality.

Plaid is seeking a Senior Machine Learning Engineer to join their Data team within the Fraud organization. This role will focus on building and scaling machine learning systems that power Plaid's fraud detection products, leveraging unique network data to identify and stop fraud. The team owns the full ML lifecycle, from feature pipelines and model training to production serving and monitoring, building reliable and scalable systems. As a Senior Machine Learning Engineer, you will own the development of high-performance feature computation and online inference pipelines, build robust observability and monitoring capabilities, and partner closely with ML Infrastructure, Data Science, and Product teams to deliver high-impact ML solutions.

$229k - $315k

Baseten is seeking an AI Engineer to join its rapidly growing Compute organization. This role is crucial for scaling the systems and workflows that balance supply and demand across our GPU fleet. You will design, build, and ship AI-powered workflows to automate manual and repetitive tasks within the capacity lifecycle, allowing the team to focus on critical judgment calls. The ideal candidate will audit existing systems, identify gaps, and rapidly deliver solutions, thinking ahead about the broader system architecture and the role of AI in enhancing existing tooling.

$175k - $190k

Physical Intelligence is building general-purpose AI for the physical world, developing foundation models and learning algorithms for robots and future devices. As an ML Infra Engineer focused on Data Systems, you will construct and manage the data infrastructure essential for large-scale robot learning. Your work will bridge raw data sources and the training/evaluation phases, ensuring speed, accuracy, and reliability as systems scale. This role is a systems-focused position at the intersection of distributed systems, storage, and machine learning infrastructure.

NVIDIA is seeking a Machine Learning Engineer to join the GPU accelerated Apache Spark team. This role involves working with the open-source community to enhance Apache Spark's performance and cost-efficiency on NVIDIA GPUs, enabling enterprises to scale their Spark workloads. You will apply advanced ML/AI techniques to optimize these large-scale data processing applications.

$224k - $357k