Scala Jobs

As a Machine Learning Engineer at Sift, you will bridge the gap between data science and large-scale distributed systems. You will build end-to-end pipelines that extract signals, train custom models per merchant, and serve predictions at production scale with low latency. You will work on an automated machine learning ecosystem that dynamically recalibrates models based on streaming global telemetry data.

$170k - $240k

We are seeking an experienced Data Engineer to join our Austin team and contribute to the development of our internal data products. In this role, you will build data-driven applications that empower various teams across the company, including go-to-market, engineering, and product. You will be involved in the entire product lifecycle, from defining requirements and designing features to implementation and ongoing ownership. You will focus on creating scalable and reliable systems to address critical business challenges, collaborating with full-stack engineers on new features and managing the data pipelines and services that support our applications. Our technology stack is diverse, encompassing languages like Go and Scala, and technologies such as ClickHouse, with continuous evolution. Many of our products also integrate significant AI components, offering opportunities to develop advanced, AI-ready data layers and work with modern AI infrastructure and tools like vector databases, MCP-based services, and Workers AI.

Machinify is a leading healthcare intelligence company focused on delivering value, transparency, and efficiency to health plan clients. We are seeking a hands-on, technically deep Sr/Director of Engineering to lead our ML Engineering team. This role involves managing and growing a team responsible for building and operating the company's core AI/ML platform at massive scale. You will also act as a key thought partner to the Chief AI Officer, translating data science proof-of-concepts into scalable, production-grade services. The ideal candidate possesses a blend of AI/ML engineering expertise and applied data science fluency, understanding the intricacies of productizing AI/ML capabilities including serving, observability, reliability, and scale.

Sierra is seeking a Software Engineer to join our full-stack data team, focused on enhancing the intelligence of AI agents. You will build real-time pipelines, analytics products, and personalization systems that leverage millions of conversations to drive business outcomes. This role involves architecting and developing our core data platform for low-latency, large-scale data processing, including real-time eventing, ETL pipelines, and a data lakehouse. You will also develop systems for long-term agent memory, customer data platforms, and optimization loops to personalize agent interactions and improve business results. The ideal candidate is passionate about AI products and thrives in a high-autonomy environment.

$230k - $390k

Databricks

At Databricks, we are passionate about enabling data and AI teams to solve the world's toughest problems by building and running the world's best data and AI infrastructure platform. As part of the AI Platform team, you will build the substrate that powers everything from data apps, AI agents, model training, model serving, and vector search. You will be joining a high-agency, high-visibility team operating at the frontier of AI infrastructure with deep ties to research, product, and real-world enterprise use cases. Databricks Mosaic AI is one of our fastest-growing businesses helping thousands of our customers democratize AI within their organizations, and we are building the infrastructure that powers the next generation of AI.

$166k - $225k

Databricks

Databricks is seeking a Senior Software Engineer for its Files team to innovate at the intersection of storage, performance, and distributed systems. This role will directly shape the company's filesystem strategy to power next-generation agentic workloads. The Filesystem has emerged as a preferred runtime interface for AI agents, serving as a foundational layer for context, memory management, artifact authoring, version control, sandboxing, and inter-system communication, thereby accelerating AI adoption.

$166k - $225k

Faire is a technology wholesale platform connecting independent retailers globally. We are seeking a Staff Engineer to own and evolve our data plumbing, ensuring data is accessible, accurate, and queryable for various teams including Product Engineering, Data Science, and Machine Learning. This hands-on role involves designing and building the next generation of our data ingestion and processing systems, and serving as the go-to expert for data movement at Faire.

$247k - $339k

Databricks

As a Senior Applied ML Engineer on the Applied AI team, you will leverage machine learning, scheduling, and optimization algorithms to enhance the efficiency and performance of Databricks' infrastructure. Your responsibilities will encompass the full technology stack, from cluster management to query compilation, tackling complex, high-impact engineering challenges to deliver optimized and cost-effective workloads for customers. This role is crucial for accelerating serverless growth, building end-to-end ML4Sys solutions, shaping applied ML strategy, and driving the deployment of state-of-the-art models.

$166k - $210k

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.

Databricks

At Databricks, we are passionate about enabling data and AI teams to solve the world's toughest problems. We build and run the world's best data and AI infrastructure platform. As part of the AI Platform team, you'll build the substrate that powers everything from data apps, AI agents, model training, model serving, and vector search. You'll be joining a high-agency, high-visibility team operating at the frontier of AI infrastructure with deep ties to research, product, and real-world enterprise use cases. Databricks Mosaic AI is one of our fastest-growing businesses helping thousands of our customers democratize AI within their organizations. We’re building the infrastructure that powers the next generation of AI.

$165k - $220k

Databricks

Databricks is seeking a Sr. Software Engineer to join the Ingestion Core Team. This team is responsible for making data ingestion simple, reliable, and efficient for all data types, including structured and unstructured. The role involves building distributed platform systems to incrementally ingest high-volume, petabyte-scale data from diverse sources into Delta Lake, ensuring schema evolution and change data capture. You will contribute to simplifying complex data challenges and empowering customers with analytics and machine learning tools.

$166k - $225k

Databricks

Databricks is seeking a Staff Software Engineer to join their AI Research Infrastructure team. In this role, you will be responsible for developing and operating the research stack that powers Databricks' AI research efforts. You will design and build services for scheduling, orchestrating, and observing large-scale training and inference experiment workloads across thousands of GPUs. Your work will involve improving developer tooling to ensure researchers can iterate quickly while maintaining reliability, efficiency, and security. You will collaborate closely with research scientists, ML engineers, and platform teams to transform experimental workloads into robust, repeatable pipelines and push the boundaries of the infrastructure's capabilities.

$199k - $270k

Databricks

Databricks is seeking a Staff Software Engineer, Fullstack to join a new, nimble team in their NYC office. This role will be instrumental in building new AI products from the ground up, leveraging Databricks' data and AI infrastructure to create vertical AI applications for both technical and business users. This is a unique opportunity to experience a 0-to-1 environment, combining startup excitement with the resources of a leading tech company.

$191k - $254k

Asana is seeking a staff-level Technical Lead to drive the technical vision and execution for their developer platform, focusing on APIs. This role is crucial for enabling AI to connect with work tools, managing data flow into and out of Asana, and supporting LLMs in taking action. The Technical Lead will partner with Product, Design, Data Science, and User Research to understand developer and agentic needs, propose solutions, and define API design best practices. This position involves developing across the full stack, writing clean code, and mentoring engineers and developer advocates.

$211k - $240k

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