NLP / LLMs Jobs

Lead a team developing language grounding and reasoning capabilities for Wayve's multimodal foundation models used in autonomous driving. Drive foundational research at the intersection of large-scale pretraining, language understanding, and embodied agent alignment, with focus on grounded understanding in real-world contexts.

A customer-facing Solutions Engineer role focused on speech technology evaluation and adoption. Requires hands-on Python programming, cloud/infrastructure deployment experience, and strong technical communication skills to guide customers through demos, PoCs, and integrations with Speechmatics' speech recognition platform.

This Solutions Engineer role focuses on helping customers evaluate and adopt Speechmatics' speech recognition technology through technical pre-sales and proof-of-concept delivery. The position requires hands-on Python programming, cloud/infrastructure deployment experience, and strong customer-facing communication skills to guide technical evaluation from discovery through implementation.

A Solutions Engineer role at Speechmatics focused on speech technology adoption, requiring hands-on technical expertise in Python, cloud deployment, and API integrations. The position bridges sales and engineering, demanding strong customer-facing skills alongside the ability to build demos, write code, and design technical solutions for speech recognition implementations.

Solutions Engineer role focused on helping customers evaluate and implement Speechmatics' speech recognition technology. Requires hands-on technical expertise in Python, cloud/Linux deployments, and API integrations, combined with strong customer-facing communication skills and ability to build demos and PoCs from discovery through validation.

A 12-month graduate programme at FutureVoices offering hands-on experience building scalable SaaS systems for speech technology. Candidates will rotate across product, client integration, and software engineering teams, learning to develop robust APIs and infrastructure while collaborating with senior engineers and cross-functional colleagues.

A 12-month graduate programme at FutureVoices offering hands-on experience with speech technology and scalable SaaS systems. You'll work across product development, client integration, and core software engineering while learning from senior engineers and collaborating with marketing and sales teams.

Senior Machine Learning Engineer role focused on cutting-edge speech AI research and development at Speechmatics. Requires deep expertise in modern ML stack including transformer architectures, distributed training, and inference optimization, with experience in R&D project execution and team collaboration. Preferred qualifications include top-tier conference publications, open-source contributions, or technical writing.

This is a Senior Business Development Representative role focused on selling Voice AI API products to enterprise and mid-market customers. The position requires strong sales execution skills, data-driven pipeline management, and the ability to engage both technical and commercial stakeholders in a fast-scaling SaaS environment.

Principal Machine Learning Engineer role at a speech AI company focusing on developing and deploying cutting-edge speech recognition systems. The position combines hands-on technical work with leadership responsibilities, including mentoring teams, defining ML technical vision, and ensuring production deployment of large self-supervised models. Ideal candidate will have deep expertise in ML systems, speech technology, and experience scaling research into customer-facing products.

Speechmatics seeks an experienced ML Engineer to advance their ASR engines and conversational AI platform by scaling self-supervised learning models across hundreds of GPUs and optimizing speech recognition pipelines across 50+ languages. The role combines cutting-edge research in speech technology with production-focused engineering, requiring expertise in model optimization techniques like distillation and quantization.

Speechmatics seeks an experienced ML Engineer to advance automatic speech recognition and conversational AI through large-scale self-supervised learning on billion-parameter models across multiple GPUs and 50+ languages. The role combines cutting-edge research in speech processing and text-to-speech with practical production optimization, requiring expertise in model scaling, distillation, quantization, and end-to-end pipeline development in a collaborative research environment.

Senior Software Engineer role focused on building and maintaining the core real-time voice infrastructure powering PolyAI's conversational AI agents. The position requires full-stack ownership of voice runtime services spanning telephony, audio processing, speech recognition/synthesis, LLM orchestration, and production support across AWS and Azure at enterprise scale.

PolyAI is seeking a Senior Research Scientist to lead cutting-edge research on large language model post-training for conversational voice assistants. The role focuses on novel approaches including conversational reinforcement learning, audio-native LLMs, streaming turn-taking, and reasoning model distillation. This is a research-focused leadership position requiring expertise in LLMs and dialogue systems, based in the UK.

Senior technical role supporting Systems Integrators and ISV partners in deploying PolyAI's voice AI assistants into enterprise environments. Combines hands-on solution architecture with partner enablement, while driving adoption of AI automation tools across the GTM organization. Requires deep expertise in enterprise integration, voice AI systems, and the ability to translate complex technical requirements into successful partner-led customer deployments.

Senior Channel Solutions Consultant who enables Channel Partners and Technology Services Distributors to successfully position and deliver PolyAI's voice assistant solutions. The role involves leading technical discovery sessions, educating partners on conversational AI capabilities, and guiding customers through solution evaluation and implementation processes.

PolyAI seeks a Gulf Arabic/Bahraini language specialist for part-time contract work (16 hours/week) based in the UK to improve voice assistant language understanding through training data creation and system prompt refinement. The role involves quality assurance testing, voice recording management, and iterative refinement of conversational AI systems for Gulf Arabic speakers.

Design and build evaluation systems and benchmarks for frontier LLMs and multimodal models, including reasoning, code, and agent-use tasks. Create post-training datasets and prototype RLHF/RLAIF/DPO-style training loops to measure and improve model performance on real-world tasks.

Develop cutting-edge systems for creating and leveraging high-quality human feedback data to train frontier AI models using techniques like RLHF and DPO. Design advanced methods to align human preferences with AI training processes and measure the quality and impact of human-in-the-loop data. Work at the intersection of applied research and engineering to solve critical data-centric challenges in modern AI development.

Build AI-driven automation solutions for customer onboarding and credit decisioning at Brex's Operational AI team. Work on internal AI agent platforms and KYC/underwriting automations across the full engineering stack, collaborating with teams to deliver end-to-end features that accelerate customer activation.

Senior technical owner for Brex's external AI ecosystem, responsible for building stable, secure integrations that allow customers to interact with Brex through third-party AI assistants and platforms. The role focuses on designing how financial data and actions are safely exposed, managing permissions and auditability across ecosystem boundaries, and driving adoption through exemplar applications used by sophisticated customers.

Lead technical ownership of Brex Assistant, a conversational AI product that automates financial workflows and expense management. Responsible for shipping production-grade agentic systems, setting quality standards, and deeply integrating AI capabilities into Brex's core finance platform to drive measurable customer outcomes.

Lead a team building a consumer-facing conversational AI assistant (Brex Assistant) that automates financial workflows like spend approval and policy compliance. Responsibility spans both people leadership and product outcomes, with focus on shipping agentic systems to production and measuring real customer impact rather than research novelty.

Lead a team building a conversational AI assistant (Brex Assistant) that automates financial tasks like expense approval and policy compliance. This is a people leadership role focused on shipping agentic systems to production with measurable customer impact in financial operations. Success requires balancing team management with product outcomes in a fast-paced fintech environment.

Lead Brex's Growth Product team to drive customer acquisition and onboarding through AI-native features and tools that empower GTM/Marketing teams. Oversee strategy and execution across AI agents for GTM workflows, ML-based account prioritization systems, and prospect classification models. Work cross-functionally to build scalable products that help enterprise customers with complex spending needs.

Director-level product role leading Brex's Growth/AI product team to drive customer acquisition and onboarding through AI-native features and ML-powered tools. Requires deep expertise in AI product strategy, cross-functional leadership, and GTM integration to build AI agents, enrichment systems, and ML models that empower sales and marketing operations.

Lead the technical vision for next-generation shopping experiences at Instacart by designing ML systems that leverage generative AI, LLMs, and agentic AI to transform search and discovery. This hands-on IC role at Director level requires building production systems that move beyond traditional ranking pipelines to create intelligent, personalized shopping experiences at scale.

Lead the development of multi-task, multi-objective ranking models that unify search, recommendations, and ads across Instacart's platform. Build foundational ML systems optimized for incremental value (GTV, basket lift, retention) with LLM-enhanced retrieval and value-aware constraints. Partner with engineers and PMs to deploy ranking backbones powering the entire shopping experience at scale.

Lead the design and development of core ML models for Instacart's ads ecosystem, focusing on pCTR prediction and addressing fundamental challenges like selection bias, position bias, and model calibration. This research-leaning role involves advancing multi-task learning, sequence modeling, and next-generation foundation models for ads ranking and retrieval systems like TIGER.

Principal Product Manager role leading the development of Cart Assistant, an enterprise-grade AI shopping agent for grocery commerce. Requires deep expertise in agentic AI systems, consumer and retailer needs, and ability to translate cutting-edge generative AI capabilities into compelling 0-to-1 products that serve millions of users.

Design and build AI agents for Instacart's ads platform that analyze campaign performance, diagnose issues, and recommend optimizations. Develop the semantic/context layer and data infrastructure (dbt, Snowflake) that powers these agents to improve ROAS and operational outcomes. Partner across product, data science, and engineering to deploy production-ready AI solutions with measurable business impact.

Director-level role leading Discord's data and analytics engineering organization to build scalable data products, semantic layers, and AI-powered query systems. Requires 10+ years of experience managing data teams while establishing data quality standards, governance frameworks, and enabling both traditional and AI-driven analytics across subscription, advertising, and commerce businesses.

Reddit seeks a Staff Systems Engineer to manage AI integration, governance, and security across corporate engineering platforms. The role focuses on designing secure connections between existing systems and GenAI tools while establishing policy frameworks that balance risk mitigation with business enablement. Required expertise includes SaaS platform integration (Okta, Cloudflare, Google Workspace) and experience scaling AI-driven automation across enterprise environments.

Reddit seeks a Staff Machine Learning Engineer to architect and scale their Generative AI platform infrastructure, focusing on building resilient, large-scale distributed systems capable of supporting foundation model training and deployment. The role involves defining technical strategy and core infrastructure enabling ML engineers to train, evaluate, and iterate on LLMs at Reddit's massive scale across multiple teams.

Backend software engineer position on Reddit's Product Catalogs team, responsible for building scalable infrastructure and management tools for retail advertisers handling millions of products. The role involves system scaling, catalog management, and AI/LLM-powered product enhancements using modern technologies like Python, Scala, Go, Kubernetes, and various data stores. Remote work available from the Netherlands with flexible office options.

Senior Staff role leading Reddit's large-scale GenAI Platform vision, strategy, and architecture across the company. Focuses on designing and maintaining the LLM Gateway with unified API endpoints, rate/token management, and intelligent failover for reliability. Drives platform capabilities and operating models enabling teams to build, deploy, and scale generative AI products confidently.

Reddit seeks a Senior Staff ML Engineer to lead the Relevance team and architect next-generation search and answer systems powered by modern AI. The role involves designing large-scale systems spanning query understanding, retrieval, ranking, and LLM-based answers to deliver highly relevant search experiences across Reddit's massive content corpus.

Lead development of Reddit's large-scale GenAI Platform, focusing on building an LLM Gateway with unified API endpoints, rate limiting, and intelligent failover. Design and operationalize enterprise-grade RAG applications and agentic AI workflows while establishing MLOps/LLMOps best practices for production GenAI systems at scale.

Reddit is seeking a Senior Research Engineer to own the post-training and evaluation pipeline for their Reddit-native Large Language Models. You will architect evaluation suites, build internal benchmarks (Reddit Benchmark), and execute fine-tuning workflows to ensure models are safe, performant, and culturally aligned with Reddit communities. This role bridges applied research and massive-scale infrastructure, sitting at the core of Reddit's AI foundation.

Lead the design and implementation of Reddit's ML training infrastructure platform, architecting foundational systems that power recommendations, feeds ranking, and content understanding. You'll build Kubernetes-based ML workflows, optimize large-scale training infrastructure, and create self-service tooling for data scientists working with deep learning, NLP, and computer vision models.

Senior ML Engineer role at Reddit's Growth team focused on building personalized onboarding and early user experiences using ML and LLMs. Responsibilities include owning end-to-end ML feature development, building real-time inference systems, and training recurring models using modern architectures. Position requires strong technical leadership, cross-functional collaboration, and expertise in production ML systems.

Senior Engineering Manager role leading Reddit's Embeddings Platform Team, responsible for architecting and maintaining foundational ML embeddings infrastructure using state-of-the-art techniques like graph neural networks and transformer models. The position involves strategic leadership of platform design and evolution while partnering with multiple teams to enable machine learning engineers and data scientists across the organization.

Reddit seeks a Machine Learning Engineer to train, evaluate, and deploy ML models that enhance user experience across their platform. The role requires strong software engineering fundamentals combined with ML expertise, including model deployment, evaluation, and collaboration across recommendation systems. Candidates must hold a Master's degree in a quantitative field with 2+ years of related experience and proficiency in Python, cloud infrastructure (AWS, Kubernetes), and ML frameworks.

Reddit seeks a Machine Learning Engineer to build industrial-grade models for critical ML tasks, specializing in recommender systems and NLP with advanced neural networks and feature engineering. The role requires 3+ years of experience with expertise in Python, SQL, distributed computing (Spark/Beam), and cloud platforms (GCP/AWS), with optional full-time remote work available.

Lead a machine learning engineering team at Reddit focused on optimizing notification relevance through ranking, candidate retrieval, and personalization algorithms. You'll architect adaptive notification systems that impact DAU growth and user retention by connecting users to content that matters most. This role combines hands-on ML expertise with team leadership across the full development lifecycle from design through production deployment.

Reddit seeks a Director of Machine Learning to lead safety and moderation ML initiatives, building industry-leading systems that detect and prevent harmful content at scale. The role combines strategic leadership with hands-on ML expertise in fine-tuned LLMs and transformer models, requiring cross-functional collaboration across product, engineering, and AI/ML platform teams to protect global users.

Build foundational ML infrastructure services at Stripe that power the complete ML lifecycle, from experimentation through production deployment across notebooks, training, serving, and LLM applications. Work with ML engineers and data scientists to create tools and libraries that accelerate ML development velocity and improve MLOps maturity across the organization.

Build AI-powered fee explainability experiences for Stripe merchants using agentic systems and NLP to help users understand complex billing and pricing. Work across full-stack engineering—backend services, frontend dashboards, data pipelines, and AI agents—while ensuring reliability and accuracy at scale through robust evaluation frameworks.

Senior product leader role responsible for defining and scaling ML/AI applications across Stripe's product suite while advancing the company's AI infrastructure and tooling strategy. The position requires cross-functional leadership to incubate novel ML/LLM techniques, drive agentic capabilities adoption, and align investment priorities across business units. This is a principal-level product management role focused on enterprise-scale AI strategy and execution.

Stripe seeks new PhD graduates in ML/CS to develop and deploy large-scale machine learning systems for financial infrastructure, including foundation models and fraud detection. The role involves end-to-end ML development from design through production deployment, collaborating across teams on projects like the Stripe Assistant. Candidates need strong CS fundamentals, practical ML experience, and proficiency in Python, Scala, and distributed systems like Spark.