SQL Jobs

Glean is seeking a Software Engineer to join its Data Foundations team. This team is responsible for the entire data ingestion and management layer that powers Glean's Search, AI Assistant, and Agent products. Your work will directly impact the quality, freshness, and trustworthiness of the knowledge that all Glean users interact with daily. You will be instrumental in building and scaling connectors to various SaaS and on-prem systems, handling complex data synchronization, and transforming raw enterprise content into structured representations optimized for search and LLM reasoning. This role offers the opportunity to contribute to advanced data source capabilities and expand AI product functionality through deep integrations.

$180k - $300k

AssemblyAI is seeking a Senior GTM AI Engineer to join their revenue organization. This role involves building the essential pipelines, internal tools, and AI agents that drive go-to-market strategies. You will be responsible for identifying target companies, personalizing outreach, monitoring product usage for expansion or churn signals, and maintaining CRM data integrity. The primary goal is to empower the sales team to operate with three times their current capacity by leveraging software and AI solutions.

$160k - $220k

Stability AI

The Data team builds and runs the systems that make Stability AI's data usable for business operations and model training. This is a collaborative, outcome-focused role where you'll have significant technical access and autonomy. You will own the company's data platform end-to-end, including the AWS data lake, transformation layer, integrations between business systems, and the Kubernetes infrastructure. You will connect and maintain data from various systems like billing, usage telemetry, identity, CRM, and ERP. Additionally, you will serve as the data engineer for research teams, building pipelines to transform raw media into training-ready datasets for audio, video, image, and 3D modalities.

$176k - $230k

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.

CoreWeave is seeking a Senior Software Engineer to join the Applications Engineering team, which builds the software used to plan and operate CoreWeave's infrastructure business. This role involves building full-stack applications and features within the company's data platform, UNION, and owning them in production. The work includes developing natural language interfaces and agents that operate on governed data, along with the necessary evaluation mechanisms. You will collaborate closely with stakeholders to define software requirements and take full ownership of product areas from conception to deployment and maintenance.

$153k - $204k

Anthropic

As a senior data science leader for Model Experience, you will play an instrumental role in shaping data-informed decision-making across the organization. You will be a strategic thought partner to product, engineering, and research leaders, influencing model roadmap and launch decisions by providing insights into user experience and model performance beyond benchmark scores. In this tech lead manager role, you will also be responsible for hiring, managing, and developing a team of data scientists, setting their agenda, leading high-stakes analyses, and elevating the impact of data on model and product decisions.

$380k - $460k

Salesforce is seeking a Decision Scientist Lead to join the Data Solutions team, which drives the company's progress in the 4th Industrial Revolution through trusted data and artificial intelligence. This role will lead the team responsible for developing the data foundation, metrics, and insights for Data 360, informing the path forward to be smarter in every dimension. The Data Solutions team acts as an unbiased partner, providing crucial information for financial forecasting, customer health, adoption insights, and curated data. This is an opportunity to lead a team of high-achieving analysts and engineers, partnering with cross-functional teams to solve complex business problems using data and AI.

$173k - $260k

Accenture

Accenture is seeking an Advanced AI Engineer to design, build, and operationalize AI and machine learning solutions for enterprise clients. This role involves combining custom models with cloud and third-party AI services to deliver production-ready outcomes. You will manage the full solution lifecycle, from assessing client needs and data to selecting and customizing models, designing scalable data and MLOps/LLMOps pipelines, and ensuring the quality and reliability of deployed systems. This is an opportunity to work in a digitally driven, innovation-led environment on cutting-edge projects within our Global Agentic Center of Excellence.

$70k - $206k

Accenture

As an AI/ML Computational Scientist Manager, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients. This involves combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role will encompass the entire solution lifecycle, from assessing client needs and data, to selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models). You will also design scalable data and MLOps/LLMOps pipelines for training and production, ensuring the quality, value, and reliability of deployed systems. This position requires formulating real-world problems into practical, efficient, and scalable AI and Machine Learning solutions, and engaging in research and development of new AI and high-performance compute algorithms.

Accenture

We are seeking an AI Native Software Engineer to build and ship production-ready software where AI is a core part of the engineering lifecycle. This role involves applying AI-native practices to develop and validate solutions, maintain quality and compliance, and continuously improve software development and operations. You will leverage AI tools for accelerated coding, testing, and integration, delivering immediate organizational value through productivity uplift.

Accenture

This role focuses on building and shipping production-ready software where AI is a core component of the engineering lifecycle. You will apply AI-native practices to develop and validate solutions, maintain quality and compliance, and continuously improve software development and operations. The position involves building full-stack enterprise applications using AgentAI tools to accelerate coding, testing, and integration, aiming to deliver immediate organizational value through productivity uplift and reduced reliance on scarce AI-native talent. The emphasis is on integrating AI services and features, such as RAG, rather than model training.

Accenture

This role focuses on building and shipping production-ready software where AI is a core component of the engineering lifecycle. You will apply AI-native practices to develop and validate solutions, maintain quality and compliance, and continuously improve software development and operations. The position involves building full-stack enterprise applications using AI tools for accelerated coding, testing, and integration, aiming to deliver immediate organizational value through productivity uplift.

Accenture

We are seeking an AI Native Software Engineer to build and ship production-ready software where AI is a core part of the engineering lifecycle. This role involves applying AI-native practices to develop and validate solutions, maintain quality and compliance, and continuously improve software development and operations. You will leverage AI tools for accelerated coding, testing, and integration, delivering immediate organizational value through productivity uplift.

Accenture

We are seeking an AI Native Software Engineer to build and ship production-ready software where AI is a core part of the engineering lifecycle. This role involves applying AI-native practices to develop and validate solutions, maintain quality and compliance, and continuously improve software development and operations. You will leverage AI-powered tools for accelerated coding, testing, and integration, delivering immediate organizational value through productivity uplift and reduced reliance on scarce AI-native talent.

NVIDIA Finance is seeking a Forward Deployed Engineer and AI Enabling expert to drive measurable business outcomes through applied AI. This role sits at the intersection of finance functions, data platforms, and AI, partnering with various stakeholders to identify opportunities, build solutions, and foster adoption of new working methods. The ideal candidate will possess technical depth, business acumen, program leadership skills, and a strong capacity for enablement, moving comfortably from ambiguous problems to production-ready solutions and sustained adoption.

$116k - $230k

NVIDIA is seeking a Senior DFT Methodology - Data Analytics and Applied AI Engineer to join their Design-for-Test Engineering team. This role involves working with pre-silicon and post-silicon data analytics, including visualization, insights, and modeling. You will be responsible for designing and maintaining data pipelines and ETL processes, collaborating with cross-functional teams to define data requirements and ensure data quality, and applying algorithm design and statistical tools to solve complex problems in the Design For Test space. Additionally, you will contribute to developing and deploying DFT methodologies for next-generation products using Generative AI solutions and mentor junior engineers.

$152k - $265k

Mercor is seeking a Research Engineer Intern to work at the intersection of engineering and applied AI research. This role will focus on owning benchmarking pipelines, evaluation systems, and failure analysis workflows that directly inform how we train and improve frontier language models. Your work will be crucial in defining how we measure tool use, agentic behavior, and real-world reasoning. You will design and run evaluations, build rubrics and scorers, and translate failure analysis into actionable improvements for post-training, RLVR, and data pipelines.

Mercor is a leading AI data company that organizes human intelligence to power the AI economy. We build the layer between human expertise and frontier models, enabling millions of domain experts to train AI models. Our mission is to create a new category of work where expertise drives AI advancement, requiring an ambitious and fast-paced team working alongside researchers and AI companies at the forefront of technological change. Mercor is a profitable Series C company valued at $10 billion. As a Research Engineer Intern, you will work at the intersection of engineering and applied AI research. Your contributions will directly impact post-training, RLVR, synthetic data generation, and large-scale evaluation workflows for frontier language models. The work you do will be instrumental in training LLMs to master tool use, agentic behavior, and real-world reasoning in production environments. You will shape rewards, conduct post-training experiments, and develop scalable systems to enhance model performance, while also designing and evaluating datasets, creating data augmentation pipelines, and building rubrics and evaluators to push the boundaries of LLM learning.

Anduril Industries is seeking a Senior Industrial Engineer to lead and scale the company's manufacturing simulation capability. This role involves owning the factory simulation system as a durable, decision-grade asset that evolves with production systems and is trusted for capital, capacity, staffing, and ramp decisions. The engineer will act as a connective tissue among operational stakeholders in a fast-paced, resource-limited environment. Simulation will be used both as a central service for requests like capacity studies and scenario analysis, and as an integrated step in the Manufacturing Development Plan (MDP) process to model and confirm line designs, identify bottlenecks, and validate production system performance before physical implementation. The goal is to create a maintained, centralized model that provides digestible, defensible production plans for program and operations leads.

$147k - $196k

Machinify is a leading healthcare intelligence company that provides value, transparency, and efficiency to health plan clients. Our AI-powered platform and expertise are used by over 85 health plans, representing more than 270 million lives. We are constantly innovating to improve financial outcomes and reduce healthcare costs. As a Senior Data Engineer (Analytics), you will be responsible for transforming raw operational data into actionable insights for business leaders. This role focuses on data modeling and measurement enablement, working closely with business stakeholders to understand their needs and translate them into certified models, robust metric definitions, and user-friendly reports. You will be instrumental in unifying data from multiple platforms into a single measurement model across diverse client workflows.

$170k - $200k