Adaptive jobs

Executive Assistant Hospital - Towson The Executive Assistant is responsible for providing high-level administrative support to C-level executives within the company. The ideal candidate is mature, highly organized, an expert multi-tasker with a strong work ethic. The candidate should thrive in a fast-paced work environment with a culture of high standards, attention to detail, flexibility, and adaptability to change. This position is 100% in-person with no remote work available.

Assistant Manager(03244) - 103 Nashua Road Londonderry, NH, United States Company Description: Job Description: At Domino's Pizza, we're searching for top candidates who are adaptable, self-motivated, and have a passion for customer service. Learn and sharpen your business skills as a Manager for Domino's Pizza by staffing your store, managing costs, and developing your team members, all while in a fun and energetic environment! Qualifications: Additional Information: All your information will be kept confidential according to EEO guidelines.

Full Stack ML Efficiency & Observability US

Assistant Manager(03220) - 580 Union Ave Laconia, NH, United States Company Description: Job Description: At Domino's Pizza, we're searching for top candidates who are adaptable, self-motivated, and have a passion for customer service. Learn and sharpen your business skills as a Manager for Domino's Pizza by staffing your store, managing costs, and developing your team members, all while in a fun and energetic environment! Qualifications: Additional Information: All your information will be kept confidential according to EEO guidelines.

Performance Marketing Manager (Türkiye) Türkiye fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. About this role You'll own and scale our performance engine end-to-end. From high-velocity model launches to paid acquisition across search and social, you'll drive qualified traffic, conversions, and revenue. What you'll do - Build and scale a high-performing acquisition engine across search and paid social - Own Google Search: launch agile campaigns for frequent model releases and build always-on campaigns that convert high-intent traffic into revenue - Own paid social (Meta, TikTok, YouTube, Reddit): collaborate with creative and content teams to produce quickly, test aggressively, and scale what works - Partner with marketing and product teams to align on priorities, launches, and messaging - Drive experimentation across channels, landing pages, and funnel conversion - Analyze performance deeply: identify bottlenecks, surface insights, and recommend product and marketing improvements - Build scalable reporting and attribution to tie spend to revenue - The majority of the team

Machine Learning Compute Efficiency Lead, Infrastructure & Planning Cupertino, United States of America Apple's Platform Acceleration & Compute Efficiency (PACE) is a high-leverage team operating at the critical intersection of our ML organizations, underlying compute infrastructure, and core platform tooling. Our mission is to empower Apple's software engineering teams with efficient, scalable compute. By driving out operational friction and optimizing the broader machine learning ecosystem, we directly accelerate the pace of development across the company. As foundation models become increasingly central to Apple's user experiences, maximizing the efficiency of our ML compute is paramount. In this role, you will focus relentlessly on compute efficiency, ensuring that Apple's models run as fast, reliably, and cost-effectively as possible. You will tackle massive optimization challenges, from maximizing hardware utilization across GPUs, TPUs, and custom Apple Silicon, to shaping workload scheduling and capacity allocation for large model serving. We are seeking a Senior Architect with deep expertise in ML infrastructure to act as a linchpin for Apple's foundational inference strategy. You will be instrumental in defining, establishing, and monitoring compute efficiency metrics across the software engineering organization. By partnering closely with model developers and infrastructure providers, your work will directly reduce serving costs, shape core engineering decisions, and enable the highly efficient, scalable inference required to power Apple Intelligence for hundreds of millions of users. - Own and support ML compute management for Apple's inference workloads (GPU, TPU, and custom silicon) to enable large-scale model serving. - Collaborate closely with Apple Intelligence and ML

Assistant Manager(03764) - 109 Rockdale Ave New Bedford, MA, United States Company Description: Job Description: At Domino's Pizza, we're searching for top candidates who are adaptable, self-motivated, and have a passion for customer service. Learn and sharpen your business skills as a Manager for Domino's Pizza by staffing your store, managing costs, and developing your team members, all while in a fun and energetic environment! Qualifications: Additional Information: All your information will be kept confidential according to EEO guidelines.

Assistant Manager(03226) - 72 Portsmouth Ave Stratham, NH, United States Company Description: Job Description: At Domino's Pizza, we're searching for top candidates who are adaptable, self-motivated, and have a passion for customer service. Learn and sharpen your business skills as a Manager for Domino's Pizza by staffing your store, managing costs, and developing your team members, all while in a fun and energetic environment! Qualifications: Additional Information: All your information will be kept confidential according to EEO guidelines.

Senior Data Scientist, AI Remote - Nationwide posted: Posted 30+ Days Ago

Assistant Manager(03235) - 61 Crystal Ave Derry, NH, United States Company Description: Job Description: At Domino's Pizza, we're searching for top candidates who are adaptable, self-motivated, and have a passion for customer service. Learn and sharpen your business skills as a Manager for Domino's Pizza by staffing your store, managing costs, and developing your team members, all while in a fun and energetic environment! Qualifications: Additional Information: All your information will be kept confidential according to EEO guidelines.

Machine Learning Engineer, Asia 2 Locations posted: Posted Today

Ads Conversion Modeling, Machine Learning Engineering Manager Remote - United States Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit www.redditinc.com . Reddit's lower funnel business is rapidly growing and pushing the heavy ranking web conversion models towards state-of-the-art is critical for continued growth. The Conversion modeling Team plays a pivotal role in developing and maintaining machine learning models that drive user conversions from Reddit Ads, with a special focus on predictive modeling around interactions like purchase, signup, add to cart, and other lower funnel user actions. As we expand our machine learning infrastructure and incorporate new engagement signals, we are looking for a skilled Engineering Manager who can lead this critical team. This role is well-suited for a leader with deep machine learning expertise, strategic vision, and a collaborative mindset to engage with both technical and cross-functional stakeholders. We're a remote-friendly company, and this position is open to candidates anywhere in the U.S. Target Skills and Expertise The Engineering Manager (EM) will be responsible for defining the team's vision, setting strategic direction, and executing a technical roadmap for conversion modeling at Reddit. This involves: - Model Architectures: Expertise in architecting

Assistant Manager(03760) - 821 Rockdale Ave New Bedford, MA, United States Company Description: Job Description: At Domino's Pizza, we're searching for top candidates who are adaptable, self-motivated, and have a passion for customer service. Learn and sharpen your business skills as a Manager for Domino's Pizza by staffing your store, managing costs, and developing your team members, all while in a fun and energetic environment! Qualifications: Additional Information: All your information will be kept confidential according to EEO guidelines.

Assistant Manager(03206) - 250 Dubuque St Manchester, NH, United States Company Description: Job Description: At Domino's Pizza, we're searching for top candidates who are adaptable, self-motivated, and have a passion for customer service. Learn and sharpen your business skills as a Manager for Domino's Pizza by staffing your store, managing costs, and developing your team members, all while in a fun and energetic environment! Qualifications: Additional Information: All your information will be kept confidential according to EEO guidelines.

ASIC Architect Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Responsibilities - Translate high level architecture spec to micro-architecture feature requirements - Bring up new features in the performance/power model - Perform comprehensive PPA trade-offs for new architectural features - Extract insights for new features and micro-architecture power efficiency - Profile workloads, identify bottlenecks and project competition performance for benchmarking - Engage with SW teams for end-end application level modeling at cluster level - Identify kernel level HW acceleration level opportunities Qualifications - Masters/PhD in Electrical/Computer Engineering - 10+ years of experience across performance analysis and modeling across

Assistant Manager(03230) - 456 Daniel Webster Hwy Merrimack, NH, United States Company Description: Job Description: At Domino's Pizza, we're searching for top candidates who are adaptable, self-motivated, and have a passion for customer service. Learn and sharpen your business skills as a Manager for Domino's Pizza by staffing your store, managing costs, and developing your team members, all while in a fun and energetic environment! Qualifications: Additional Information: All your information will be kept confidential according to EEO guidelines.

Research Engineer, Code RL (Reinforcement Learning) San Francisco, CA | New York City, NY About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the RL Teams Our Reinforcement Learning teams play a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of our latest Claude models. Our work spans several key areas: - Developing systems that enable models to use computers effectively - Advancing code generation through reinforcement learning - Pioneering fundamental RL research for large language models - Building scalable RL infrastructure and training methodologies - Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the Role We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to write, edit,

Sr. Director Eng, Seller User Experience San Jose, California, United States of America Join our team as Senior Director, Seller User Experience and lead the transformation of our platform into a highly adaptable, customer-centric ecosystem. Drive innovation in user experience, collaborate with executive leaders, and inspire teams to deliver exceptional seller experiences. Shape the future of e-commerce with your engineering vision and leadership.

Senior Applied Scientist, Alexa Ads Bengaluru, Karnataka, IND Alexa+ is the world's best Generative AI powered personal assistant / agent for consumers. We are seeking an Applied Scientist to join our newly expanding team in India focused on Alexa Conversational Ads and Personalization. In this role, you will build machine learning models that seamlessly and naturally integrate relevant advertising into the Alexa experience while deeply personalizing user interactions. You will work closely with other scientists, engineers, and product managers to take models from conception to production. Key job responsibilities Design, develop, and evaluate innovative deep learning and GenAI models for natural language processing (NLP), recommendation systems, and personalization. Conduct hands-on data analysis and build scalable ML pipelines. Design and run A/B experiments to measure the impact of new models on customer experience and ad performance. Collaborate with software development engineers to deploy models into high-scale, real-time production environments. About the team We are building a new science team in Bangalore to solve some of the most impactful problems in computational advertising. This isn't about tweaking existing models as we are rethinking how ads are ranked, priced, and personalized across voice-first and screen-first surfaces. These are problems that don't have textbook solutions. Key points to note about the team: 🧪 Greenfield team - you are not joining a mature org with rigid processes. You will shape the science roadmap, pick the problems, and define the culture from day one. 📈 Direct business impact - your models directly drive revenue. No yearly

Assistant Manager(03760) - 836 Ashley Blvd New Bedford, MA, United States Company Description: Job Description: At Domino's Pizza, we're searching for top candidates who are adaptable, self-motivated, and have a passion for customer service. Learn and sharpen your business skills as a Manager for Domino's Pizza by staffing your store, managing costs, and developing your team members, all while in a fun and energetic environment! Qualifications: Additional Information: All your information will be kept confidential according to EEO guidelines.

Inference Optimization ML Engineer Mountain View, Mountain View,, California, United States At Rhoda AI, we're building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. We're looking for an Inference Optimization MLE to help build and operate the systems that make our foundation models run fast and efficiently in production. You'll be responsible for squeezing maximum performance out of large multimodal models, across cloud and on-robot deployment targets. You will working closely with research and robotics teams to close the gap between training and real-world deployment. What You'll Do - Own inference performance end-to-end - diagnose and improve latency, throughput, and efficiency of large foundation models in production - Build systematic performance attribution: latency decomposition (compute vs. memory bandwidth vs. I/O), bottleneck identification, and prioritization across model families - Apply and develop optimization techniques including quantization, pruning, distillation, operator fusion, and model compilation (e.g., TensorRT, torch.compile, XLA) - Optimize attention mechanisms, KV caching, and memory layouts for large multimodal models (vision, video, language, proprioception) - Work with kernel-level tooling (e.g., CUDA, Triton) to identify hotspots

Assistant Manager(03204) - 212 Lowell St Manchester, NH, United States Company Description: Job Description: At Domino's Pizza, we're searching for top candidates who are adaptable, self-motivated, and have a passion for customer service. Learn and sharpen your business skills as a Manager for Domino's Pizza by staffing your store, managing costs, and developing your team members, all while in a fun and energetic environment! Qualifications: Additional Information: All your information will be kept confidential according to EEO guidelines.

Internship Bioengineering / Molecular Biology Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE This is an internship for an exceptional molecular biologist who wants to do the most serious work of their life so far. You won't shadow people or run busywork - you'll own real production workflows: cloning, protein expression, purification, and characterization, on the systems that serve our customers every day. We run a high-throughput, heavily automated lab, and we

Innovation AI Engineer Madrid, Spain