AI Startup Jobs

Turing

Turing is at the forefront of accelerating superintelligence to drive economic progress. We partner with leading AI labs and enterprises to create high-quality datasets, reinforcement learning environments, and research benchmarks that enhance model capabilities in areas like software engineering, enterprise knowledge work, and advanced STEM reasoning. Our work spans both foundational research and applied AI development, focusing on synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. We aim to bridge the gap between cutting-edge research and real-world deployment, using deployment signals to refine data, evaluations, and models.

$250k - $400k

Turing

Turing is seeking exceptional Research Scientists to join our STEM research organization and develop new ways to evaluate, train, and improve frontier AI systems. This is a research-first role focused on problems where the right benchmark, dataset, or methodology often does not yet exist. You will identify important gaps in the literature, propose ambitious new research directions, and take projects from initial hypothesis through experimentation, benchmark construction, and publication. Our research is deliberately focused on frontier STEM evaluation, synthetic data, hallucination and reliability, and agentic science. We are looking for scientists who can recognize important problems early, formulate them precisely, and design rigorous research programs to answer them.

$250k - $350k

Turing

Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for leading AI labs and enterprises. We create RL environments to evaluate and improve models on complex, long-range, multi-step workflows across high-value domains. We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.

$250k - $350k

Turing

Turing is seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.

$250k - $350k

Turing

Turing is seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.

$250k - $350k

Turing

Turing is seeking exceptional AI Research Scientists to join our STEM research organization and develop new ways to evaluate, train, and improve frontier AI systems. This is a research-first role focused on problems where the right benchmark, dataset, or methodology often does not yet exist. You will identify important gaps in the literature, propose ambitious new research directions, and take projects from initial hypothesis through experimentation, benchmark construction, and publication. Our research is deliberately focused on frontier STEM evaluation, synthetic data, hallucination and reliability, and agentic science. We are looking for scientists who can recognize important problems early, formulate them precisely, and design rigorous research programs to answer them.

$150k - $300k

Turing

Turing is seeking a Research Engineer to contribute to the development of frontier-quality datasets, reinforcement learning environments, and evaluations for state-of-the-art models. This role involves close collaboration with client researchers and engineers, translating research goals into technical proposals and data specifications, and overseeing technical execution. You will be responsible for building quality and verification systems to ensure deliverables meet high standards for correctness, realism, diversity, and measurable model lift. The work is bespoke, focusing on a single frontier lab client to build deep context and relationships, with flexibility to support other accounts. Success is measured by both turnaround time and quality. This position is ideal for individuals experienced in building and improving deep learning systems, with a strong emphasis on data quality, curation, denoising, synthetic data generation, and rigorous evaluation.

Salary not listed

Together AI

We are seeking a software engineer to develop a Kubernetes-native control plane for managing our GPU inference fleet. This role involves designing a manifest-driven API that allows the inference team to declare their needs for clusters, model deployments, or capacity changes. Our controllers will handle the underlying reconciliation, provider/runtime selection, and lifecycle management, abstracting away the complexities of the serving stack, scheduler, and hardware pool. You will also build systems to optimize fleet efficiency, including defragmentation, rebalancing logic for consolidating workloads, and scheduling/bin-packing improvements to maximize GPU utilization without impacting latency. The primary goal is to decouple platform users from operational complexities while increasing usable capacity from existing hardware. This includes developing controllers, reconciliation loops, and self-service interfaces (API/CLI) for seamless decoupling, alongside event-driven systems for health monitoring, remediation, and utilization management without manual intervention. A product mindset is crucial, with experience building internal platforms or APIs for other engineering teams and a focus on developer experience and ownership of delivered software, including production support.

Salary not listed

Turing

Turing is seeking a Research Engineer to contribute to the development of cutting-edge AI datasets, reinforcement learning environments, and evaluations for leading AI labs and enterprise clients. This is a hands-on, research-focused technical leadership role where you will collaborate with customer researchers and engineers to define data and environment specifications based on their model and post-training objectives. You will be responsible for driving the production of high-quality data that meets stringent standards for correctness, realism, diversity, difficulty, and measurable model improvement. The role is ideal for individuals with approximately 4-5 years of experience in building and refining deep learning systems, particularly those where data quality, curation, denoising, synthetic data generation, and rigorous evaluation are critical for success. You will operate within one or more specialized capability areas, including coding and software engineering agents, RL environments, multimodal data and reasoning, STEM reasoning, and modern embodied AI agents.

Salary not listed

Turing

This role focuses on ensuring the quality and sensitive data compliance of enterprise data as it flows through our systems. You will be responsible for building machine learning models that detect and replace sensitive information like PII, PHI, and company-identifiable data in text and image formats. This involves developing detection models, validation infrastructure, adversarial test sets, and audit processes to guarantee data integrity and de-identification performance. You will work closely with a senior ML lead, focusing on hands-on engineering with a strong QA mindset, ensuring data remains useful and secure for downstream applications.

Salary not listed

Turing

Turing's Enterprise AI unit is seeking a Forward-Deployed AI Engineer to join its initial team. This role offers the opportunity to operate with the speed and focus of a startup, defining the frontier of applied AI in the workplace. You will be responsible for identifying high-value customer problems, shaping AI solution architecture, building production systems, and directly engaging with senior client leaders. The work involves developing generative AI solutions that drive measurable impact and return on investment within large institutions, tackling intellectually challenging and high-impact problems.

Salary not listed

We are seeking a Senior Fullstack Member of Technical Staff to join our Engineering team. In this role, you will be instrumental in building the product and systems that translate simulated behavior into real product decisions. You will work across the entire technology stack, connecting complex backend systems, including multi-agent simulations and evaluation pipelines, to frontend experiences that customers rely on for critical decision-making. This is an opportunity to own and build core platform features, translate agent behavior into product functionality, develop system visibility and trust tooling, and shape user interaction with simulations.

$175k - $200k

We are seeking an early Member of Technical Staff within our Research Tribe to shape the core systems powering our AI and Agent Systems. This deeply technical role bridges distributed systems, machine intelligence, and product, focusing on turning stochastic models into reliable, production-grade systems. You will design and implement agentic systems at scale, defining agent topologies, orchestration layers, state management, memory, and tool-use execution. You will also develop behavioral and persona modeling, design evaluation frameworks, build signal and insight systems from agent outputs, and engineer production reliability infrastructure for agents. This position emphasizes building robust, inspectable, and improvable systems over simple prompt chaining. You will work in a fast-paced, iterative environment where research and product development move together, shipping quickly and learning from real users. We value high ownership, low ego, and a comfort with ambiguous problems at the frontier of AI.

$175k - $225k

Sola

Sola is an AI-native platform reinventing enterprise process automation and disrupting legacy RPA tools. Our AI agents can execute complex workflows across any application, browser, desktop, or legacy system. We are looking for Forward Deployed Engineers to help bring Sola to the world's largest enterprises and rewrite the playbook for how automation is built. This role combines hands-on technical execution with customer-facing communication and partnership, focusing on solving complex customer problems and contributing to the platform's evolution.

$120k - $200k

HUD is building reliable, fair, and open infrastructure for AI data, aiming to make data valuable for creators and trustworthy for AI training labs. As a Senior Research Infrastructure Engineer, you will accelerate research on training and evaluating frontier AI agents by building the software and infrastructure that enables researchers to iterate on environments, collect trajectories, and evaluate model behavior. You will collaborate closely with research engineers to understand their needs, identify bottlenecks, and transform research code into robust, reusable systems, owning the tools, pipelines, and execution infrastructure that support their exploration and scaling of promising approaches.

$175k - $260k

Together AI

As a Forward Deployed Engineer (FDE) focused on Post-Training, you will be a hands-on technical partner to strategic customers who are using fine-tuning and reinforcement learning to build differentiated models on open-source foundations. You will work alongside Solutions Architects as the deep-domain specialist in post-training, guiding customers through data strategy, algorithm selection, experiment design, and evaluation, and sizing the compute required. Your role is crucial in ensuring the successful delivery of post-training Proofs of Concept (POCs), driving adoption of the fine-tuning and RL platform, and translating customer goals into measurable improvements in model quality. This position directly impacts customer success, company growth, and the enhancement of our core platform.

$270k - $300k

Lovable is seeking an exceptional Forward Deployed Engineering Lead to help build the future of AI-powered software creation. This role involves building and leading an outstanding Forward Deployed Engineering (FDE) team, while collaborating with other FDE leaders to define the function's global operations. You will remain deeply hands-on, working directly with ambitious customers, writing production code, and contributing to projects alongside your team. Lovable is a software creation platform empowering individuals and businesses to bring ideas to life, having facilitated over 60 million projects since its launch. The company is a fast-growing, generational AI company with a culture of extreme ownership, high velocity, and low-ego collaboration.

$241k - $391k

Sieve

Sieve is seeking its first Robotics Researcher to lead the training and evaluation of world-action models (WAMs) and 3D perception systems. This role focuses on understanding how data shapes robot capabilities, connecting data curation and labeling to measurable gains in robot learning. You will manage projects from inception to completion, identifying model shortcomings, determining data needs, setting up experiments, and testing results on unseen tasks and environments. A significant portion of this work involves 3D, transforming raw multimodal and egocentric video into actionable data for robot learning by incorporating geometry, pose, and action. Simulation will be used as a tool for evaluation and augmentation when beneficial, but not as the primary focus.

Salary not listed

Inworld is a research lab and inference provider focused on real-time AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, real-time workloads. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more, serving over 10 trillion LLM tokens per month. We are looking for strong individuals from varied backgrounds who learn fast, thrive in ambiguity, and can demonstrate their experience in building, breaking, and understanding complex systems.

$250k - $300k

As a Software Engineer, Forward Deployed Engineer (FDE), you will collaborate directly with clients and internal delivery teams to develop and implement AI-powered solutions that revolutionize how work is performed. You will manage projects from inception to completion, including scoping complex problems, creating prototypes for AI workflows, and deploying robust, scalable systems built on our platform. This role involves close interaction with both technical and non-technical stakeholders, blending the roles of an AI engineer, software developer, and technical consultant. It's an ideal position for individuals eager to work hands-on with AI models and directly witness the impact of their work.

$93k - $217k

Together AI

In this role, you will operate, scale, and optimize multi-petabyte storage systems purpose-built for the world’s largest AI training and inference workloads. You’ll manage and scale high-performance parallel filesystems and object stores, evaluate and integrate cutting-edge technologies, and solve complex engineering challenges of operating at extreme throughput, low-latency data paths, and massive cluster-scale storage operations. You will also build Kubernetes-native storage operators and self-service platforms that provide automated provisioning, strict multi-tenancy, performance isolation, and quota enforcement at cluster scale.

$250k - $330k

Together AI

As a Forward Deployed Engineer (FDE) focused on Inference & Post-Training, you will be a hands-on technical partner to strategic customers looking to leverage high-quality models and perform inference at scale. You will act as a deep-domain specialist in inference optimization, fine-tuning pipelines, and production deployment, partnering with Solutions Architects. FDEs add significant value by ensuring complex Proofs of Concept (POCs) are met, facilitating platform adoption, and guiding tailored optimization efforts, directly impacting customer success and company growth.

$270k - $300k

Dscout

Dscout is seeking an Applied AI Engineer with 2-5 years of experience to build and ship AI systems for enterprise use. This role focuses on the unique challenges of AI-native products, where reliability and performance across real-world scenarios are paramount. You will be instrumental in improving agent behavior, understanding user feedback, and ensuring AI systems deliver measurable business impact. The ideal candidate is comfortable with modern LLM-based systems and agentic workflows, possesses strong product judgment, and can effectively balance LLM approaches with traditional ML techniques.

Salary not listed

Dust

Dust is seeking a Senior AI Support Engineer to redefine world-class support in an AI-native company. This role goes beyond ticket resolution, focusing on owning and improving the systems, agents, workflows, and feedback loops that enhance support scalability and efficiency. You will be instrumental in transforming recurring customer pain points into durable solutions, including better agents, documentation, internal tooling, and sharper product feedback. The ideal candidate possesses strong technical instincts, a deep user-centric mindset, and a proven ability to build support systems that transform team operations. This is a senior individual contributor role for someone excited about leveraging AI to create operational leverage and improve the customer experience.

€50k - €100k