Research Engineer, Production Model Post-Training AnthropicResearch Engineer, Production Model Post-TrainingSan Francisco, CA$350,000–$500,000 / yearThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Staff Machine Learning Engineer - Foundation Model XPeng MotorsStaff Machine Learning Engineer - Foundation ModelSanta Clara, CA$215,280–$364,320 / yearDesign, train, and deploy large deep learning models that can leverage the vast amount of labeled and unlabeled data from a fleet of million vehicles. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
Sr. Machine Learning Engineer, Foundation Models Inference - Cloud OS & Inference Apple IncSr. Machine Learning Engineer, Foundation Models Inference - Cloud OS & InferenceSanta Clara, CAOur systems serve billions of queries daily across Siri AI, Apple Intelligence, Apple Search, Apple Music, Apple TV, App Store, iMessage, Photos, Camera, Spotlight & Safari, at remarkably low latency with every ounce of compute extracted from the hardware beneath them. This role sits within CloudOS and Private Cloud Compute (PCC) - Apples purpose-built, privacy-preserving cloud infrastructure for AI workloads.
Senior Machine Learning Engineer - Model Inference AppleSenior Machine Learning Engineer - Model InferenceCupertino, CAYour responsibilities span the full server stack, including onboarding new use cases, optimizing inference across heterogeneous accelerated compute hardware, deploying services on Kubernetes, building and integrating inference engines and control-plane components, and ensuring seamless integration with Maps infrastructure. **Description** As a Software Engineer on the Apple Maps team, you will lead the design and implementation of large-scale, high-performance inference services that support a wide range of models used across Maps, including deep learning and large language models.
Strategy& Strategy Consulting Business Model Reinvention - Director PricewaterhouseCoopers LLPStrategy& Strategy Consulting Business Model Reinvention - DirectorSan Francisco, CA$155,000–$410,000 / yearPwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As a Director, you will set the strategic direction and lead business development efforts, making impactful decisions and overseeing multiple projects while maintaining executive-level client relations.
Strategy& - Strategy Consulting Business Model Reinvention - Senior Associate PricewaterhouseCoopers LLPStrategy& - Strategy Consulting Business Model Reinvention - Senior AssociateSan Francisco, CA$77,000–$202,000 / yearIn this role at PwC, you will analyze client needs and provide consulting services across different strategic areas, offering guidance and support to help clients develop and implement effective strategies that align with their business objectives and drive growth. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy .
Principal Applied AI Researcher - Domain- Specific Models (Dublin, CA) Articul8Principal Applied AI Researcher - Domain- Specific Models (Dublin, CA)Dublin, CaliforniaMaintain hands-on research impact at the highest level — sustain a meaningful personal research contribution through technical work, publications, patents, and externally visible output, modeling what it means to be a world-class researcher who uses massively parallel agentic systems to achieve what was previously impossible. Mentor senior researchers and raise the ceiling on human potential — coach Staff and Senior researchers on designing agent-augmented research programs, raise the bar on technical judgment and experimental rigor, and shape hiring for researchers who are driven to redefine what's possible.
Solutions Architect - AI Model Specialist FriendliAISolutions Architect - AI Model SpecialistSan Francisco, CaliforniaOur infrastructure powers high-throughput, low-latency workloads for global organizations and integrates directly with Hugging Face, providing instant access to over 600,000 open-source models. You will work closely with our customers to integrate FriendliAI’s inference and agent frameworks into real-world products, enabling them to build and scale AI applications effectively.
Staff AI Research Engineer, Large User Models Google LLCStaff AI Research Engineer, Large User ModelsMountain View, CAWe"re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Edge ML Software Engineer (Model Optimization-PICO) - San Jose Beijing ByteDance Technology Co LtdEdge ML Software Engineer (Model Optimization-PICO) - San JoseSan Jose, CAMaster's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field, or equivalent practical experience. Apply hardware-aware optimization strategies, such as quantization, compression and operator fusion, to meet latency, memory and power targets.
Model UX Writer, Devices and Services Google LLCModel UX Writer, Devices and ServicesMountain View, CATeams across this area research, design, and develop new technologies to make our user"s interaction with computing faster and more seamless, building innovative experiences for our users around the world. The Platforms and Devices team encompasses Google"s various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware.
Student Researcher (Seed - LLM - Model) - 2026 Start (PhD) Beijing ByteDance Technology Co LtdStudent Researcher (Seed - LLM - Model) - 2026 Start (PhD)San Jose, CAPre-trained basic technologies, including efficient training and encapsulated deployment services, NLP, CV, video, MultiModal Machine Learning and other related pre-trained models and their downstream applications are preferred. Candidates who have published papers in accredited academic conferences, and have achieved excellent results in competitions in the fields of MultiModal Machine Learning, Computer Vision, or Machine Learning are preferred.
Sr. Software Development Engineer AI/ML, Inference Model Enablement, AWS Neuron Amazon.com IncSr. Software Development Engineer AI/ML, Inference Model Enablement, AWS NeuronCupertino, CASoftware Development Engineer on the Inference Model Enablement team, you will onboard and optimize state-of-the-art open-source and customer LLMs, both dense and MoE, for inference on Trainium accelerators. You"ll collaborate with cross-functional teams of applied scientists, system engineers, and product managers to architect and deliver state-of-the-art inference capabilities.
Software Development Engineer, AI/ML, AWS Neuron, Model Inference Amazon.com IncSoftware Development Engineer, AI/ML, AWS Neuron, Model InferenceCupertino, CAThe Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. Participate in all stages of the ML system development lifecycle including distributed computing based architecture design, implementation, performance profiling, hardware-specific optimizations, testing and production deployment.
Research Program Manager - Adversarial Model Research OpenAIResearch Program Manager - Adversarial Model ResearchSan Francisco, CAFor unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. The Human Data team at OpenAI is responsible for identifying and mitigating risks in advanced AI systems by designing evaluations, surfacing vulnerabilities, and collaborating closely with researchers to strengthen model reliability and public trust.
Product Operations Manager, Model Quality Meta Platforms IncProduct Operations Manager, Model QualitySan Francisco, CAEvals owners own execution of verification pipelines within their products; this role ensures consistency and identifies gaps across the portfolio while building institutional competence by surfacing performance patterns and proven methodologies, enabling evals captains' ability to execute and unblocking them as needed Defines what leadership needs to see, how model health should be measured and reported, and what thresholds trigger escalation Provides thought partnership to evals managers on narrative of model health, provides visibility into our classification strategy and accuracy measurement process Works with evaluation managers to drive cross-app taxonomy alignment in alignment with cross-functional needs and advises on a strategy for the migration of LLM accuracy assessment to judges Owns the consolidated view of all production model performance, identifies systemic patterns and emerging risks, and ensures leadership can verify model health on demand Partners with AI Implementations, operational systems teams and the Metrics & Measurement team to build and maintain the infrastructure that surfaces this information Establishes performance guardrails that evals captains implement. Continuously scans industry developments and best practices to incorporate into org-wide approach Maintains a tight feedback loop with product and eng teams across apps to ensure alignment on production priorities and deployment risks Deploys deep SME expertise to diagnose, unblock and directly resolve technical bottlenecks to complex model quality problems (atrophy, accuracy regressions, performance plateaus) when evaluation leads encounter blockers they cannot resolve independently Drives alignment with cross-functional teams (quality and reliability partner teams) on tooling needs to support Product Operations classification strategy (ML classification tooling for initial-tier classification, user voice, breakdown graphs).
Senior Staff Machine Learning Engineer – Autonomous Driving Foundation Models XPENGSenior Staff Machine Learning Engineer – Autonomous Driving Foundation ModelsSanta Clara, CA$244,140–$413,160 / yearXPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing ( eVTOL ) aircraft, and robotics. Key Responsibilities: Architectural Leadership: Lead the design of end-to-end VLA architectures, bridging multi-modal perception with high-level linguistic reasoning and precise action generation.
Product Designer, AI Models FigmaProduct Designer, AI ModelsSan Francisco, CA • New YorkJob level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off.
Research Scientist - Multi-modal AI & Efficient Generative Models Meta Platforms IncResearch Scientist - Multi-modal AI & Efficient Generative ModelsBurlingame, CADrive the organization's goal towards relevant machine learning techniques in the area of multi-modal understanding and generation to build & optimize our intelligent systems that improve Meta's products and experiences Effectively communicate complex features and systems in detail while advocating for higher product quality and engineering efficiency Conduct applied research to advance the state of the art in efficient generative models (Diffusion models, Multi-modal LLMs, Vision Language Action models) and efficient perception models (Scene and Video understanding) Apply research to advance Meta's smartglasses and VR product lines Advance the state of the art in your problem area by defining and executing research roadmaps over 6-month or longer timeframes Collaborate with different cross-functional teams across the globe in research and product Present the outcomes of the research findings as papers in top-tier peer-reviewed conferences in the areaPhD in Computer Science or a related field with published projects in the fields of machine learning, Deep learning with a focus on vision-language models Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7+ years of experience leading research projects with industry-wide impact Proven development skills in Deep Learning, working with PyTorch or TensorFlow Experience developing deep learning models or infrastructure in Python or C/C++ Experience in one or more of the following areas: deep learning, Computer Vision, language models, Machine Learning or artificial intelligence First-authored publications at peer-reviewed conferences, e.g. ICLR, ICML, CVPR, ECCV, ICCV, NeurIPS Experience with CPU/GPU and mobile optimization Experience solving complex problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forwardMeta builds technologies that help people connect, find communities, and grow businesses.
Software Development Manager, LLM Inference Model Enablement, Neuron SDK Amazon.com IncSoftware Development Manager, LLM Inference Model Enablement, Neuron SDKCupertino, CAAs an SDM for the LLM Inference Model Enablement team, you will lead a team of expert AI/ML engineers to onboard and optimize state-of-the-art open-source and customer LLMs, both dense and MoE, for inference on Trainium accelerators. The ideal candidate will have a strong background in LLM model architectures, model performance optimizations, and inference techniques, such as delivering high-performance models using distributed inference libraries.