Machine Learning Jobs

WRITER is a company focused on orchestrating AI-powered work for leading enterprises, aiming to expand human capacity through superintelligence. Their platform enables companies to build and deploy AI agents grounded in their data and powered by enterprise-grade LLMs. WRITER is a rapidly growing company in the enterprise generative AI space, seeking talented individuals to join their mission to create a better future of work with AI.

$199k - $325k

As an AI engineer at WRITER, you will be instrumental in shaping how enterprises leverage superintelligence. This role involves building tangible AI solutions that power the future of work for leading global companies. Your contributions will directly influence the performance, scalability, and ethical alignment of our advanced LLMs and AI agents, enabling businesses to achieve unprecedented productivity and innovation through AI grounded in their data.

$198k - $259k

Snorkel AI is seeking a Senior/Staff Forward Deployed Engineer to join their frontier AI data lab. This engineering delivery role involves translating ambiguous customer needs into production-grade data, evaluation, and ML-assisted workflows. You will own the end-to-end AI data pipeline lifecycle, developing and deploying ML-based workflows and building foundations to enhance human-in-the-loop data generation and review. This position operates at the intersection of data science, data engineering, AI engineering, and operations, partnering with the DaaS Delivery Operations team and cross-functional stakeholders to develop technical specifications, design evaluation workflows, and implement quality standards.

$180k - $320k

Snorkel AI is seeking a Forward Deployed Engineer specializing in Synthetic Data Generation to collaborate with leading AI labs and enterprises on critical AI initiatives. In this role, you will spearhead the technical execution of complex customer projects that leverage synthetic data to enhance model training, evaluation, and overall performance. You will be responsible for transforming vague model and data challenges into concrete data strategies, developing robust generation and evaluation pipelines, and utilizing experimentation to continuously improve data quality and downstream model results. Your work will span the entire delivery lifecycle, from initial technical discovery and solution design to implementation, evaluation, and production deployment. Additionally, you will identify common patterns across engagements to develop reusable capabilities, technical standards, and product enhancements.

$180k - $320k

Snorkel AI is seeking a Manager, Forward Deployed Engineering to establish and lead the Forward Deployed Engineering (FDE) function within the Data-as-a-Service (DaaS) organization. This role is responsible for the technical execution of DaaS delivery, managing the systems, workflows, and quality frameworks for large-scale dataset production. As a player-coach, you will define strategy and architecture while remaining hands-on with implementation, working at the intersection of data engineering, ML engineering, and production operations to enhance technical delivery capabilities.

$200k - $320k

AssemblyAI is seeking a Software Engineer to bridge the gap between cutting-edge AI research and production-ready products. You will join a dynamic engineering team responsible for transforming new model capabilities from initial concepts into robust, well-documented APIs that handle production traffic at scale. This role involves designing and launching customer-facing APIs, scaling inference infrastructure, and collaborating with researchers and customers to ensure our products meet user needs and drive future development.

$190k - $225k

Roboflow Labs is seeking a Research Scientist to join their applied research unit. This role sits at the intersection of benchmarks, models, and frontier labs, focusing on failure analysis, dataset specification, and validation of data quality. The scientist will contribute to publishing new benchmarks, extending existing ones like RF100-VL, and shaping the research agenda with work grounded in real-world deployments. This position offers the opportunity to see research directly translate into shipped data products and influence the direction of AI development.

$250k - $450k

Thinking Machines is building AI that extends human will and judgment, focusing on training frontier models, developing tools for model customization, and crafting interfaces for human-AI communication. This role is crucial for shaping the fundamental reasoning capabilities of our models by owning the late-stage training process. It involves a blend of fundamental research and practical engineering, making it ideal for individuals comfortable working at the intersection of pre-training and post-training.

$350k - $475k

OpenAI

The Monetization team is a new cross-functional group focused on building foundational systems to responsibly scale access to intelligence. Our mission is to develop user-first, privacy-preserving monetization products, including next-generation ads experiences, that strengthen user trust, unlock economic opportunity, and support OpenAI's long-term innovation. This role operates in a greenfield environment, moving quickly through prototyping, experimentation, and iterative deployment, partnering closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale. As a Research Engineer, you will contribute to deploying state-of-the-art models in production environments, helping turn research breakthroughs into tangible solutions and making AI technology accessible and impactful.

$381k - $555k

The Axion Data team at Applied Intuition is building the data engine to train perception models. This role involves working on both the edge application that runs perception stacks and the cloud data engine that ingests video data for model improvement. The goal is to optimize model performance on edge and cloud, and build MLOps tooling for pipeline visibility. This position offers an opportunity to own and impact a new product team within a rapidly growing company.

$200k - $275k

Egen is seeking a high-impact Director of Engineering to lead a vital span of their AI Practice during a period of explosive growth. This is a dynamic player-coach role for a strategic engineering leader who excels at cultivating managerial talent and developing high-performing teams while staying directly engaged in transformative client delivery. The AI Practice comprises top-tier engineers delivering cutting-edge AI and machine learning solutions for global enterprise clients. As the first dedicated engineering leader in this role, you will take full ownership of a team, shaping team structure, staffing engagements, and fostering professional growth. You will also partner with practice leadership to refine operational frameworks for hiring, onboarding, and engineering enablement. Approximately 50% of your role will be billable client engagement, positioning you as a high-value fractional advisor and platform leader across critical technical domains.

$218k - $265k

Applied Intuition is building a robot learning platform to enable any robot to learn industrial tasks and continuously improve. The robotics team develops this platform and uses it to deliver robot autonomy on customer lines, training, evaluating, and deploying policies on real robots performing industrial tasks. This role involves hands-on work with hardware, seeing your contributions reach customers, and working on manipulation policies from task definition to reliable execution on a physical robot. You will train and fine-tune policies, diagnose failures, and ensure their dependability for customer use, with success measured on the robot itself.

$150k - $300k

Databricks

The Applied AI team at Databricks is at the forefront of advancing GenAI-powered products, having launched Databricks Assistant, AI/BI Genie, and Agent Bricks. These products are used by hundreds of thousands of users daily, tackling challenging problems like code suggestion, text-to-sql generation, and knowledge QA. As GenAI products evolve, we are seeking engineers to drive the next phase of development, focusing on enhancing LLM quality, expanding GenAI capabilities, and strengthening platform architecture for AI interactions at scale.

$190k - $285k

Databricks

Databricks is seeking a Staff Engineer to join the Customer Engagement and Docs platform team, focusing on enhancing customer support through AI and Large Language Models (LLMs). This role operates at the intersection of Product development and Machine Learning, aiming to help customers resolve issues faster by providing precise solutions or facilitating seamless escalations. You will gain a deep understanding of user behavior, identify problem drivers, and leverage ML and LLMs to analyze complex technical use cases within an enterprise environment, ultimately guiding them towards resolution.

$190k - $260k

Databricks

Databricks is seeking a Sr. Software Engineer to architect and deliver the company's AI-native vertical workflow platform. This role involves building intelligent systems that orchestrate AI agents, humans, and enterprise tools into end-to-end operational workflows, starting with customer support and expanding to other domains like IT, Security, Legal, and Marketing. The goal is to create a scalable, reliable, and observable platform for AI-driven business decisions.

$164k - $226k

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

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

As a Research Scientist at Mercor, you will work at the intersection of research and engineering on frontier post-training. You will develop new training and evaluation methods, test them through rigorous experiments, and implement successful approaches at scale. Working with researchers, engineers, domain experts, and customers, you will investigate how data, rewards, environments, and optimization methods shape model behavior. Your work will influence frontier models, Mercor’s products, and the broader research community through releasing blogposts, technical reports, and papers.

$250k - $500k

Eudia is seeking a highly motivated and innovative AI Engineer Intern for either the spring or summer to join their growing team. This internship offers an exceptional opportunity to work on challenging Machine Learning / Gen AI problems in the legal domain. As an intern, you will collaborate with experienced AI researchers and engineers to solve enterprise-grade AI problems across Content AI, Document AI, and the applications built on top of them, including evaluating and fine-tuning both open-source and closed-source models, improving retrieval and reasoning quality, and testing AI systems for accuracy, reliability, and performance. This is a hands-on opportunity to contribute to real-world AI applications, tackle fundamental challenges in deep learning, and gain exposure to production-grade AI systems.

NVIDIA is seeking a leader in AI-enabled drug discovery science to coordinate research and development efforts. This role bridges RNA therapeutics, experimental data generation, computational modeling, and translational science. The ideal candidate is a hands-on researcher experienced in guiding scientific teams, making technical trade-offs, and ensuring alignment across experimental, data, model, and compute activities. You will be responsible for converting scientific objectives into executable plans, leading workstreams in data curation, machine learning, and platform engineering, and guiding closed-loop learning processes. This position requires establishing robust science-stream governance and providing clear reporting on progress, dependencies, and risks to program leadership.

$224k - $431k