Senior Model-Based Systems Engineer Rondo Energy IncSenior Model-Based Systems EngineerAlameda, CA$185,000–$210,000 / yearBuild and maintain automated workflows in an AI-powered systems engineering platform to connect requirements, interfaces, simulations, verification status, interface changes, and traceability into a live, continuously updated picture of program health. 7+ years in systems, integration, or verification engineering on complex multi-disciplinary, software-intensive systems (energy storage, industrial, aerospace, automotive, robotics, or similar); 3+ years in a model-based engineering environment.
NewMachine Learning Engineer Graduate (E-Commerce Content Recommendation - Generative & Large Recommendation Model) - 2027 Start (PhD) TikTok IncMachine Learning Engineer Graduate (E-Commerce Content Recommendation - Generative & Large Recommendation Model) - 2027 Start (PhD)San Jose, CAReframe retrieval as generation: tokenize the item space into semantic IDs (RQ-VAE / SID) and train autoregressive models, grounded in MLLM semantics, to generate what a user wants next - collapsing the traditional "multi-channel retrieval + ranking" funnel into a single generative stage. Use large models real-world knowledge to mine latent user interests and semantic representations beyond what pure ID co-occurrence can express; use reasoning models to run explicit chain-of-thought inference over long-horizon user intent, making the system materially better at discovery and novelty.
Senior AI Inference Engineer - Model Optimization & Deployment ZooxSenior AI Inference Engineer - Model Optimization & DeploymentFoster City, CA$225,000–$305,000 / yearIn this role, you will: Optimize large-scale models (Multi-Modal Sensor Fusion models, LLMs, VLMs) using advanced quantization (PTQ, QAT), pruning, mixed-precision inference frameworks, and parameter-efficient fine-tuning (LoRA, QLoRA). Proven experience optimizing large-scale models (Multi-Modal Sensor Fusion models, LLMs, VLMs/VLAs) utilizing Efficient Attention mechanisms (e.g., FlashAttention, Linear Attention), KV-cache optimization (e.g., PagedAttention) and Speculative Decoding.
Member of Technical Staff, Model Evaluation MirendilMember of Technical Staff, Model EvaluationSan Francisco, California$300,000–$400,000 / yearMirendil is a tech-first company focused on solving core bottlenecks that unlock step-change acceleration across science and technology. We are looking for a research engineer to build the evaluation infrastructure that tells us whether our models are getting better in ways we care about.
Platform Engineer, Model Shaping Together AIPlatform Engineer, Model ShapingSan Francisco, California$200,000–$290,000 / yearYou will design, develop, and operate both the backend services and the underlying systems that enable us to sustainably and reliably scale production workflows launched by our users, as well as internal research experiments. You will also interact with other engineering teams at Together (such as Commerce, Data Engineering, and Cloud Infrastructure) to integrate the services developed by Model Shaping with systems developed by those teams.
Senior Product Manager, Model APIs & Developer Experience Together AISenior Product Manager, Model APIs & Developer ExperienceSan Francisco, California$200,000–$280,000 / yearThe interfaces around those models shape the entire customer experience: how easily a developer can migrate an application, how reliably an agent can use a model, and how a team runs large asynchronous workloads. A willingness to get close to the work by reading specifications and code, testing integrations directly, and building working prototypes with AI development tools.
Staff Software Engineer- Foundation Model Inference Databricks IncStaff Software Engineer- Foundation Model InferenceSan Francisco, CA$190,000–$265,000 / yearThe impact you will have: Build LLM infrastructure powering large-scale inference workloads for customers through partner models (OpenAI, Anthropic, Gemini) and self-hosted models (Qwen, GPT-OSS, Llama). More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.
Senior Product Manager, Model Apis & Developer Experience Together AISenior Product Manager, Model Apis & Developer ExperienceSan Francisco, CA$200,000–$280,000 / yearThe interfaces around those models shape the entire customer experience: how easily a developer can migrate an application, how reliably an agent can use a model, and how a team runs large asynchronous workloads. A willingness to get close to the work by reading specifications and code, testing integrations directly, and building working prototypes with AI development tools.
Principal Model Optimization Engineer RobloxPrincipal Model Optimization EngineerSan Mateo, CA$295,250–$345,040 / yearEvery day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
Research Scientist, World Models WaabiResearch Scientist, World ModelsSan Francisco, CA$155,000–$269,000 / yearThis role focuses on large-scale world models for temporal reasoning and generation, including video models, multimodal generative models, LLM/VLM/VLA models, and predictive models of traffic participants and scenes. Your work will directly power Waabi Worlds ability to model future evolution, synthesize realistic safety-critical scenarios, and provide rich generative priors for downstream planning, testing, and training.
Staff Machine Learning Model Risk Specialist Upstart Holdings IncStaff Machine Learning Model Risk SpecialistCARemote$157,000–$217,500 / yearYou will oversee risk across a diverse and growing inventory of models and Generative AI applications, including sophisticated machine learning models used in lending and other models supporting areas such as fraud, compliance, finance, capital and liquidity, servicing, and operational risk. Partner with Machine Learning teams, GenAI application developers, business sponsors, and other stakeholders to maintain accurate inventories, risk assessments, documentation, monitoring reports, and supporting governance materials for models and GenAI applications affecting Upstart Bank.
Research Scientist / Engineer, Foundation Model Evaluation Apple IncResearch Scientist / Engineer, Foundation Model EvaluationCupertino, CAbenchmark design, model-based judging Track record of collaborating with model training and data teams to turn evaluation findings into training improvements Experience building reusable evaluation tooling or analysis frameworks adopted across teams Familiarity with human evaluation methodology and experience partnering with annotation teams or vendors to assess model quality. Were solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, and aligning models reliably across the spectrum from open-ended creative tasks to precise, action-taking workflows.
Senior Machine Learning Engineer – Predictive World Model XPeng MotorsSenior Machine Learning Engineer – Predictive World ModelSanta Clara, CA$174,720–$295,680 / yearDefine and build the evaluation methodology for predictive world models, spanning representation quality, prediction accuracy, generation fidelity, physical plausibility, long-horizon rollout consistency, and ultimately closed-loop policy performance, then feed the resulting models back into training as a source of synthetic data and corner-case simulation. In this role, you will research, implement, and evaluate world models that learn the dynamics of the physical world from large-scale multimodal data — predicting how a scene evolves under an agent's actions, and serving as a learned simulator for training and evaluating driving and robotic policies.
Machine Learning Engineer - Multimodal Modeling Stand InsuranceMachine Learning Engineer - Multimodal ModelingSan Francisco, California$250,000–$295,000 / yearYou will own modeling work end-to-end, from architecture and training strategy through evaluation and production deployment, and partner closely with the Platform team to ensure the agentic harness and workflows your models plug into deliver strong results in production. Standing up the training-data pipelines, evaluation harnesses, and production monitoring that take these models from prototype to production, collaborating closely with Applied Science infrastructure engineers to build out proper tooling.
BIM Technician (Modeling Coordinator) Southland Industries Inc.BIM Technician (Modeling Coordinator)Union City, CAFull timeCandidate ownership can only be established after a bona fide work order is issued by a member of the Southland Industries Talent Acquisition team and the candidate is appropriately submitted through our Applicant Tracking System (ATS). Pay: Final pay is determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.
ML Scientist, Foundation Models For Life Sciences LILAML Scientist, Foundation Models For Life SciencesSan Francisco, CA$176,000–$304,000 / yearFull-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program. LILA combines advanced AI models with proprietary AI Science Factory instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy.
ML Engineer - Inference & Model Deployment HiringCafeML Engineer - Inference & Model DeploymentCupertino, CaliforniaYou will own the bridge between model development and real user-facing infrastructure: deploying models, optimizing inference latency and throughput, scaling serving systems, and making sure our models run efficiently in production. Implement optimization techniques such as quantization, pruning, batching, caching, efficient attention, and precision trade-offs while preserving model quality.
Modelling Lead (SystemC / Virtual-Platform Architect) LumilensModelling Lead (SystemC / Virtual-Platform Architect)San Jose, CaliforniaArchitecture/performance models : architectural trade studies, end-to-end datapath throughput and latency, FIFO/buffer sizing, design-space/configuration exploration. A SystemC/TLM-2.0 virtual platform — MCU (ISS-backed) + peripherals + memory map + a UCIe transactor + host stub — that firmware runs on pre-RTL.
Machine Learning: Multimodal Foundation Models The Bot CompanyMachine Learning: Multimodal Foundation ModelsSan Francisco, CaliforniaImprove Cross-Modal Reasoning: Research and implement methods to ensure the model doesn't just "associate" modalities but actually reasons through them (e.g., grounding visual physics in kinematic constraints). Ship and Iterate on Real Systems: Integrate models into real robotic stacks, build on robot code to deploy your models, and optimize performance for edge inference.
Applied Research Scientist - Foundation Models Ambient.aiApplied Research Scientist - Foundation ModelsRedwood City, CaliforniaPowered by Ambient Pulsar, the first reasoning Vision-Language Model purpose-built for physical security, our platform seamlessly integrates with existing security cameras and physical access control systems to unify monitoring, access control, threat assessment, response, and investigations through an always-on reasoning layer that augments security operators with superhuman capabilities. The momentum speaks for itself: we doubled new ARR in FY26, we process 200M+ video hours per day, and have delivered results for world-class customers including Cisco, ServiceNow, SentinelOne, TikTok, Bayer, and MoMA.