Airflow Jobs

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

Salesforce is seeking a highly motivated, hands-on Lead Machine Learning Engineer to define and execute the technical ML strategy for a foundation machine learning platform team. This role involves full lifecycle development and optimization of ML pipelines, with a strong focus on MLOps, infrastructure-as-code, CI/CD, and thorough monitoring. The lead will manage multiple ML pipelines, work closely with cross-functional teams, mentor others, and requires deep expertise in various ML technologies to deliver measurable business impact within a security and compliance framework. A critical component of this role is the proven ability to productize Generative AI solutions and agentic workflows to enhance the security posture and resilience for the organization and all Salesforce customers.

$173k - $260k

Accenture

As a hands-on AI Infrastructure Architect, you will be responsible for designing and optimizing the AI and machine learning infrastructure that powers real-world applications. You will work alongside senior architects and engineers, applying your skills in coding, testing, configuring, deploying, monitoring, and troubleshooting AI systems and their underlying infrastructure. This role involves architecting and optimizing infrastructure components, writing and reviewing code and deployment scripts, designing and tuning compute resources like GPU clusters and distributed training environments, and deploying AI systems into production. You will also build and optimize data pipelines, monitor system health across InfraOps and MLOps, and troubleshoot complex issues. Additionally, you will mentor junior engineers, contribute to architectural decisions, and help establish best practices, making meaningful contributions to infrastructure that enables AI-driven business outcomes.

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. Our core Lattice platform integrates sensors to provide real-time situational awareness. As a Software Engineer on the ML Infrastructure team, you will develop the core systems and infrastructure that perception engineers use to field autonomous edge systems. This includes developing data management systems for perception and autonomy, model training/orchestration systems, and an internal perception platform for data querying, model training, and evaluation.

$167k - $222k

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

Reflection ai

Reflection's Data team is responsible for building the training corpora that our frontier models learn from. The ingestion layer is the critical machinery that transforms raw data from the open web, licensed sources, and other large-scale origins into well-structured, versioned, and auditable datasets for pre-training. As the Data Ingestion Lead, you will provide front-line leadership for the team responsible for this layer, overseeing web crawl, data ingestion pipelines, and data lakes. You will build, mentor, and grow a team of data ingestion engineers, guide technical and architectural decisions across crawling, extraction, and corpus storage/delivery, and collaborate closely with research, data quality, and data partnerships teams. You will also remain hands-on to contribute technically and maintain a deep understanding of the team's work, as subtle decisions at the ingestion layer significantly impact model performance, safety, and failure points.

We are seeking an AI and data architect to design and deliver AI applications that run directly on client data within Snowflake, utilizing Snowflake Cortex. The ideal candidate understands that a strong data foundation and governance are crucial for effective AI models. You will be responsible for the end-to-end development of Cortex-powered applications, from initial architectural design to production deployment, collaborating with clients and engineers to translate abstract concepts into usable systems.

Confido is seeking a Senior ML Ops Engineer to be the first dedicated owner of its ML platform. This role will be responsible for the pipelines, serving, and cloud foundation that enable AI/ML models and agents to operate reliably and cost-efficiently in production. The engineer will ensure the platform can handle large-scale workloads, including document understanding, forecasting, and agentic systems, with a focus on making AI/ML development and deployment seamless for the AI/ML team.

$210k - $300k

Nous is seeking a Data Engineer to build and own the data pipelines that power our analytics and model training. This role focuses on managing large-scale, long-horizon agentic data, transforming millions of multi-step, tool-conditioned interactions into reliable datasets for company-wide use. The position is open to candidates in any time zone with significant overlap with US working hours.

Cohere Health is seeking a Senior Software Engineer to join their Data Platform team. This remote-first role involves designing and delivering large-scale, reliable, and governed data pipelines that power analytics, operations, and clinical intelligence. The ideal candidate will thrive on solving complex data challenges, mentoring others, and improving engineering standards while contributing to platform growth. You will operate across the end-to-end data lifecycle, ensuring data products are performant, compliant, and trustworthy by partnering closely with analytics engineers, architects, and product stakeholders.

$135k - $160k

Cohere Health is looking for a Senior Manager, Data Platform Engineering to lead a crucial part of their Data Platform team. This role involves scaling technology, engineering practices, and client delivery capabilities. You will combine people leadership, technical judgment, and execution ownership to build a high-performing engineering team, drive predictable delivery, technical excellence, and operational reliability across complex data initiatives. You will partner with Product, Engineering, Architecture, Client Delivery, and business stakeholders to construct a scalable and trusted data foundation that supports Cohere's growth.

$175k - $195k

Snorkel AI is seeking experienced Software Engineers at Senior/Staff levels to join their AI Platform team. This role involves building the core infrastructure and systems that power AI development at scale, focusing on synthetic data generation, evaluation, agentic workflows, simulation environments, and LLM infrastructure. You will work on systems designed to make inherently non-deterministic workloads observable, reproducible, measurable, and scalable, enabling rapid experimentation and reliable production systems for AI models and agents.

Brex is seeking a Data Engineer to join their intelligent finance platform. In this role, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You will collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You will also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry.

$121k - $151k

At Mach9, ML infrastructure engineers build and maintain the systems that power production AI models for civil engineering and surveying. Our ML pipeline spans 10,000+ miles of labeled survey data, image segmentation networks, and 3D prediction models serving real-time inference to surveyors and engineers in the field. This role is ideal for mid-career ML infrastructure engineers with experience building for both training and inference. You'll build training pipelines that handle deep transformer models on hundreds of terabytes of 3D point cloud and image data. You'll also architect our inference infrastructure, delivering both heavy offline detection algorithms and real-time responsive inference that integrates directly with our CAD software.

$160k - $250k

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

Anthropic

The Account Abuse team is responsible for ensuring Anthropic's computing capacity is allocated fairly by minimizing resources for bad actors and preventing their return. As a software engineer on this team, you will build the machine learning systems that detect and stop abuse at scale. The ideal candidate can anticipate opponent strategies and responses to countermeasures. This role involves full-stack machine learning engineering across model training, productionization, and evaluation, with opportunities to leverage Claude to accelerate model development and maintenance. The focus is on classical ML applied to structured and behavioral data, emphasizing robust production systems, precise measurement, and safe rollout strategies, as false positives can lead to legitimate customer lockout.

$320k - $485k

As a Forward Deployed Data Engineer (FDE) on our US Launch Team, you will be the principal technical anchor embedded directly within high-stakes enterprise client accounts, focusing heavily on the Energy Sector. You will bridge the gap between C-suite data strategy and hands-on production code, working alongside partners like Databricks and Anthropic. Your role involves leading architecture design, modernizing legacy systems into cloud-native Lakehouses, building agentic AI data harnesses, and guiding teams to ship working software rapidly.

$180k - $230k

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 at scale. As a Tech Lead for the Applied AI Backend Systems, you will own critical services within our platform, focusing on designing data models, building APIs and services, and developing data pipelines that ensure reliable, fast, and observable operations. This is a hands-on build role where you will take ambiguous problems, make design decisions, ship to production, and mentor other engineers.

$250k - $500k

Mercor is a leading AI data company building the layer between human expertise and frontier models, organizing human intelligence to power the AI economy. The Applied AI organization focuses on building systems that transform human expertise into training data for advanced models, creating task pipelines, expert workflows, and evaluation infrastructure. This role involves owning and developing backend services within this stack, focusing on data models, APIs, and data pipelines that ensure correctness, speed, and observability as the platform scales. It's a hands-on build role where you'll take ownership from problem scoping through to production deployment and ongoing maintenance.

$220k - $500k

Together AI

Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle. As a Senior Backend Engineer, you will play a key role in building the next generation AI cloud platform – a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware and enables state-of-the-art ML practitioners with self-serve AI cloud services. This platform serves both internal StaaS products and external cloud customers across dozens of data centers worldwide.

$160k - $230k