Meta Llama Jobs

You will help define how machine learning models run across Cloudflare’s global network, from frontier open LLMs and real-time voice models to customer-deployed models served on heterogeneous GPUs and next-generation accelerators. You’ll work with systems engineers, product teams, hardware partners, and AI/ML engineers to bring models into production with low latency, strong reliability, and efficient resource use. This role combines applied ML, inference optimization, evaluation, and production engineering, with a focus on benchmarking models, improving serving performance, validating quality, and building tooling that helps Cloudflare and its customers ship AI applications at Internet scale.

Databricks

The Foundation Model Inference team is the backbone of Databricks’ generative AI capabilities. We build the infrastructure that enables our customers to serve, scale, and optimize frontier models with enterprise-grade reliability and performance. Our Foundation Model APIs provide a unified platform that gives customers access to LLMs with the governance, flexibility, and scalability required for enterprise production workloads. We are looking for high-agency engineers who are excited to work on powering model inference at enterprise scale.

$190k - $265k

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. Anduril Labs, a multidisciplinary team, drives innovation by developing novel concepts and next-generation technologies. We are seeking a talented full stack software engineer to join our team in Washington, DC. In this role, you will bring innovative concepts to life through proof-of-concept development and rapid prototyping using cutting-edge technologies. The ideal candidate is a self-starter with exceptional software development and creative problem-solving skills, capable of architecting, developing, and deploying distributed applications with both front-end and back-end components across various environments.

$132k - $198k

SambaNova is seeking a talented and driven ML performance engineer to optimize and scale state-of-the-art foundation models on SambaNova's reconfigurable dataflow platform. You will work hands-on with advanced models to push the limits of throughput, latency, and efficiency. This role bridges the gap between deep learning and systems performance, collaborating across compiler, runtime, and hardware layers to deliver world-record performance for large-scale AI inference.

$180k - $255k

SambaNova is seeking a Senior Principal AI Solutions Engineer, a hands-on technical leader responsible for setting the technical direction of their solutions portfolio and actively building agentic applications. This role involves transforming customer problems into polished, production-ready applications rapidly. You will work across the entire modern AI stack, including open-weight models, agent frameworks, self-improving evaluation loops, multimodal and voice pipelines, and user-friendly front-end interfaces. You will lead engagements with strategic customers, mentor the solutions team, and provide valuable feedback to the platform. This position requires expertise in designing and building reliable single- and multi-agent systems with advanced features like planning, tool/function calling, and long-running workflows. You will also develop feedback loops for continuous improvement of agents, including automated evaluations and fine-tuning. A key aspect is setting up robust evaluation, tracing, and guardrails to ensure quality, cost-effectiveness, and latency for deployed solutions.

$234k - $286k

Parallel Wireless is seeking a hands-on technical leader to build and operate a secure local large-language-model (LLM) platform. This platform will enable engineering and business teams to leverage generative AI with proprietary company data, including source code, product documentation, and technical standards, all within a secure, company-controlled environment. This senior individual contributor role involves applied LLM engineering, platform architecture, data pipelines, security, and production operations. You will transform prototypes into a dependable internal capability by selecting and optimizing open-weight models, building permission-aware retrieval systems, creating reusable APIs and tools, integrating with existing workflows, and establishing metrics for quality, safety, latency, capacity, and business value. The role emphasizes building a trustworthy enterprise LLM solution that includes robust source grounding, access controls, repeatable evaluation, observable services, and a sustainable operating model.

At Suki, we are building technology that automates clinical documentation in real-time using cutting-edge AI, significantly reducing the administrative burden on clinicians. Our platform powers voice-enabled healthcare experiences across various platforms, aiming to make clinicians' lives better. The Machine Learning team is central to this mission, driving innovation and enhancing our AI capabilities. You will leverage your NLP expertise to improve our computational infrastructure, technical approaches, and algorithms. Working directly on the platform, you'll collaborate with cross-functional teams to tackle NLP challenges and scale our services. This role involves managing and curating large datasets, monitoring system performance, and staying abreast of the latest advancements in NLP and Generative AI to maintain our competitive edge.

$225k - $250k

Alignerr, Labelbox's human data organization, is seeking a Forward Deployed Research Scientist to join their team. This role sits at the intersection of research science and client delivery, embedding research capability directly into client engagements. Unlike traditional research roles, you will work on multiple client projects simultaneously, operating on short timescales of days to weeks. You will engage with research teams at major AI labs, reason scientifically about data strategy in real time, fine-tune open-weight models to validate data methodology, and collaborate with the Applied Research team on publications. This fast-paced, applied role offers clear ownership and autonomy, with career growth directly tied to your contributions.

$200k - $300k