Adaptive jobs

Assistant Manager(03750) - 223 Quincy Ave Quincy, 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.

Graphics Designer, Loyalty Marketing San Francisco, CA, United States This designer will collaborate closely with cross-functional partners including marketing, CRM, copywriting, digital, production, and brand teams to deliver cohesive, customer-centric creative across digital and print channels. The ideal candidate is an adaptable visual storyteller with strong design fundamentals, a sharp eye for typography and layout, and the ability to thrive in a fast-paced retail environment.

Senior AI/ML Engineer: Python & Scientific Computing San Francisco About Swayable Swayable is a fast-growing AI and automated data science platform that measures public opinion and the impact of messages and advertising content on it. We are a 40-person team backed by top technology and social impact investors, including Y Combinator. Founded in 2018 by physics PhDs, it is led by the former Executive Director for Digital Strategy at the New York Times. Clients include major consumer-facing brands (American Express, Airbnb, Paramount Pictures), technology companies (Anthropic, Meta, Amazon), academic researchers (MIT, Yale, Stanford) and mission-aligned civic advocacy campaigns (e.g. on climate, human rights and elections). Joining Swayable means being on a team whose work changes the course of history. The technology we develop is at the leading edge of transforming some of the world's most important campaign organizations and enterprises: combatting disinformation, protecting democracy, and supporting the sustainable growth of consumer-facing brands. Check our our values & culture deck to learn more: https://tinyurl.com/4zjchwzs Technology stack Swayable uses Python (Numpy, Scipy, scikit-learn, Pandas, Celery, Flask), JavaScript (Vue.js, Node.js), MongoDB, and GraphQL. About the role Swayable is seeking a Senior Engineer blending Python software development expertise with scientific computing, machine learning, and AI experience to advance the state of the art analytics engine that powers our core product. In this role, you will be part of the team that productizes all AI, machine learning, and data analysis at Swayable. You will be responsible for building, maintaining, and continuously improving our tools, techniques,

Assistant Manager(03200) - 60 Beech Street 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.

Senior Applied AI Scientist (AI Learning) Barcelona, Catalunya, Spain We power people's progress. At Preply, we're all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it's creating real impact. We've just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we're only getting started. As a category-defining company, we're shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day. Meet the team! At Preply, we believe learning should be personal, dynamic, and data-driven - and our AI Learning team is at the core of making that a reality. We build the models and systems that power personalized learning paths and real-time feedback, using multimodal LLMs trained on rich, unstructured data like video, audio, and transcripts. Our goal is to transform how students learn between lessons and how tutors deliver impact at scale. From building conversational AI tools to designing smart teaching assistants, we apply the latest in NLP, generative AI, and deep learning to real-world learning journeys - always with a focus on usability, effectiveness, and

Senior Applied Scientist, Fauna New York, New York, USA We are seeking a Sr. Applied Scientist to develop cutting-edge machine learning algorithms for motor control systems in robots. In this role, you will focus on creating and optimizing intelligent motor control strategies to enable robots to perform complex, whole-body tasks. Your contributions will be essential in advancing robotics by enabling fluid, reliable, and safe interactions between robots and their environments. Key job responsibilities - Develop controllers that leverage reinforcement learning, imitation learning, or other advanced AI techniques to achieve natural, robust, and adaptive motor behaviors - Collaborate with multi-disciplinary teams to integrate motor control systems with robotic hardware, ensuring alignment with real-world constraints such as actuator dynamics and energy efficiency - Use simulation and real-world testing to refine and validate control algorithms - Stay updated on advancements in robotics, AI, and control systems to apply advanced techniques to robotic motion challenges - Lead technical projects from conception through production deployment - Mentor junior scientists and engineers - Bridge research initiatives with practical engineering implementation About the team Fauna Robotics, an Amazon company, is building capable, safe, and genuinely delightful robots for everyday life. Our goal is simple: make robots people actually want to live and interact with in everyday human spaces. We believe that future won't arrive until building for robotics becomes far more accessible. Today, too much effort is spent reinventing the fundamentals. We're changing that by developing tightly integrated hardware and software systems that make it faster, safer,

DIGITAL CONTENT PRODUCER - WFIE WFIE - Station We want a winner. 14 News, WFIE, is looking for a Digital Content Producer. We dominate on-air, online, and on our digital platforms, so we want someone who wants to win, accurately and creatively! Our digital content producers are focused, strong writers with excellent time management skills and attention to detail. You want to be comfortable working with others and adapting to breaking news. We want someone who wants to continue the work in pushing our digital platforms further into success.

Assistant Manager(03190) - 184 Route 101 Bedford, 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 Applied AI Scientist (AI Marketplace) Barcelona, Catalunya, Spain We power people's progress. At Preply, we're all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it's creating real impact. We've just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we're only getting started. As a category-defining company, we're shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day. Meet the team! At Preply, AI isn't a feature - it's foundational. It powers how we connect millions of learners and tutors, personalise every interaction, and build a marketplace where meaningful learning thrives at global scale. The Applied AI team sits at the centre of this ecosystem. We design and deploy intelligent systems that drive real-time tutor-learner matchmaking across millions of sessions worldwide. Over time, we've evolved from traditional machine learning approaches into a modern AI-native marketplace - leveraging deep learning, advanced ranking and re-ranking architectures, and proprietary multimodal data including audio, video, and transcripts to deliver smarter recommendations and measurable learning outcomes. Our scope extends far

Industrial Electrician IV - Controls - 3rd Shift Fletcher, NC, United States Applies comprehensive knowledge of troubleshooting, assembling, installing, testing, maintaining and making improvements to electrical systems. Works with relevant functions to select and utilize appropriate resources, tools, machinery and specialty equipment. Thoroughly understands the protocols of working safely with electricity and other energy sources with industrial equipment. Acts as a formal resource coordinating others. Quickly and effectively adapts to change in the manufacturing environment.

Research Engineer, Generalist San Francisco, California | OnSite Exa is an applied AI lab building a search engine unlike the world has ever seen. We build massive-scale infra to crawl the entire web, train state-of-the-art embedding models to process it, and design super high performant vector databases to retrieve over it. We now power search for Cursor, Cognition, HubSpot, and over 400,000 developers and have raised $350m from Lightspeed, Benchmark, and a16z. Our ultimate goal is to build perfect search over all the world's information, far beyond Google. If you want to build massive-scale ML systems that will define the way the new AI world consumes information, this is the place for you. Generalist Research Engineers work across our search and retrieval stack: crawling, parsing, ML performance, retrieval algorithms. The team is centered around improving end quality of search endpoints for customers. WHO YOU ARE - High attention to detail; simultaneously understand customer needs and implementation details of the system - Great intellectual horsepower - generalists who are eager to go deep - You're excited to work across our search and retrieval stack: crawling, parsing, ML performance, retrieval algorithms and more - Comfortable working across different systems, and shipping fast - You care about the problem of finding high quality information and recognize how important this is for the world WHAT YOU COULD DO - Design and ship a new parser that dramatically improves retrieval performance - Improve throughput and latency of ML models - Make our web crawler 3x

Applied Scientist II, Reinforcement Learning North Reading, Massachusetts, USA Amazon is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that combine cutting-edge AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at an unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic dexterous manipulation, locomotion, and human-robot interaction. This role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models. At Amazon we leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at an unprecedented scale. Our fleet of robots operates across hundreds of facilities worldwide, working in sophisticated coordination to fulfill our mission of customer excellence. The ideal candidate will contribute to research that bridges the gap between theoretical advancement and practical implementation in robotics. You will be part of a team that's revolutionizing how robots learn, adapt, and interact with their environment. Join us in building the next generation of intelligent robotics systems that will transform the future of automation and human-robot collaboration. Key job responsibilities - Design and implement whole body control methods for balance, locomotion, and dexterous manipulation - Utilize state-of-the-art in methods in learned and model-based control - Create robust and safe behaviors for

Specialty Pharmacy Technician 2700 Northeast Expressway, Atlanta, Georgia,United States Embrace the opportunity to become a Specialty Pharmacy Technician at CVS Health! Play a vital role in supporting patients with complex conditions by processing prescriptions, managing inventory, and ensuring accurate medication delivery. If you're detail-oriented, adaptable, and ready to grow in a fast-paced, patient-focused environment, this is your opportunity to make a difference.

NEWS PRODUCER (EVENING) - KWTX KWTX - Station Are you a "Producer of Tomorrow" who is tired of the same old broadcast formulas? We're looking for an Evening News Producer to lead our 5 p.m. and 10 p.m. newscasts at KWTX, the #1 news station in Central Texas. This isn't a starter position; we need a creative powerhouse who functions as the evening manager, someone who isn't just filling time but is crafting experiences. If you're ready to break the mold, adapt instantly to breaking news, and own the story across every screen, we want to talk to you.

AI Systems, Language & Reasoning Models Palo Alto, CA I US Remote About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role As a Member of Technical Staff, Language & Reasoning Models, you will drive the development of foundational language and reasoning models that fundamentally leverage the dynamics of our novel silicon. Your goal is to map the behaviors of modern language models directly onto the physics of our hardware. You will sit at the intersection of NLP/reasoning research and hardware codesign, proving that high-fidelity, large-scale language understanding and generation can be achieved natively on an unconventional computing substrate. What You'll Do - Model Development: Design, train, and scale next-generation language and reasoning architectures (such as transformers, state space models, diffusion/flow models, and deep equilibrium models) specifically tailored for unconventional compute. - Physics-Informed Architecture: Rethink standard sequence modeling to exploit the continuous-time dynamics of silicon, moving away from layers of inefficient digital abstraction. -

Applied Scientist - Perception (SLAM/VIO), Fauna New York, New York, USA We are seeking an Applied Scientist to develop and optimize Visual Inertial Odometry (VIO) and sensor fusion systems for our intelligent robots. In this role, you will design, implement, and deploy state estimation and tracking algorithms that enable robots to understand their position and motion in real time, even in challenging and dynamic environments. You will own the full pipeline from algorithm development through embedded deployment, ensuring that perception systems run efficiently on resource-constrained robotic hardware. You will also leverage modern machine learning approaches to push the boundaries of classical perception methods, combining learned representations with geometric techniques to achieve robust, real-time performance. This is a deeply hands-on role. You will work directly with sensors, hardware, and real-world data, while prototyping, testing, and iterating in physical environments. The ideal candidate has strong foundations in VIO and sensor fusion, practical experience optimizing algorithms for embedded platforms, and familiarity with how modern deep learning is transforming perception. Key job responsibilities - Design and implement Visual Inertial Odometry algorithms for robust real-time state estimation on robotic platforms like Sprout - Develop multi-sensor fusion pipelines integrating cameras, IMUs, and other sensing modalities for accurate pose tracking - Optimize perception and tracking algorithms for deployment on embedded hardware (e.g., ARM, GPU-accelerated edge devices) under strict latency and power constraints - Apply modern ML-based perception techniques (learned features, depth estimation, neural odometry) to complement and improve classical geometric approaches - Build and maintain calibration, evaluation,

Data Engineer Consultant Amsterdam, NH, Netherlands Company Description: Sia is a next-generation, global management consulting group born digital, augmented by data, enhanced by creativity, and driven by responsibility. We partner with clients to resolve challenges and capitalize on opportunities. We believe that in today's world of change and disruption, optimism is a force multiplier. Job Description: The Data Science team is young, diverse and growing. As we are still relatively small you will be in the driver seat to shape its future. We have a flat structure and value the entrepreneurial spirit of our members: initiative is highly encouraged. We are also striving for well-being, diversity and knowledge-sharing inside the team, so that we all grow. As a Data engineer consultant you will be working on various client projects as well as on building our own Sia AI solutions, together with our French Data Engineering team: Cloud Services at GCP, AWS and Azure: architecture choices, use of storage & compute services, cost monitoring and optimisation, role management, Infrastructure as Code Docker and Kubernetes: containerisation & orchestration of applications, management of K8s clusters adapted to Data Science workloads Python programming: development of server-side tools (bulk data processing, REST API server, authentication, ...) CI/CD: managing the integration and ongoing deployment of our applications and internal platforms, supporting the deployment of Data Science projects at our clients' sites Data pipelines: development of ETL scripts in Big Data environments Infrastructures & Services adapted to Machine Learning: technology watch and implementation of solutions useful to

Product Manager, AI, Gboard Mountain View, CA, USA At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development. One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. The Gboard team is responsible for input across phones, tablets, laptops, and Wear across modalities (e.g., tap typing, voice, expressions). In this role, you will lead multiple areas of the product to enable it to become a Gemini based multimodal writing experience that feels personalized, adaptive and contextual. Android is Google's mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the

Senior Machine Learning Engineer Remote ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. About the Applied AI Team The Applied AI team builds the intelligence layer that sits between ZoomInfo's high-quality data and the application and agentic layer through which customers engage. Using a product-led growth model, this team leverages customer engagement as input to build better recommendations, scoring, classification, and generative models. What you'll do: Recommendation system - Build large scale recommendation systems utilizing embeddings generated for structured and unstructured data using methods such as a two tower architecture - Performant recommendation designs which can scale to millions of recommendations per day for different product features - Utilize graph based structures, search and scoring to enhance recommendation quality Advanced NLP & Embedding Systems - Fine-tune (LORA/PEFT), customize and deploy embedding models (LLMs/SLMs) for multi-language text understanding and semantic search - Architect vector search solutions that enable language-agnostic clustering and classification across global datasets - Build and optimize high-performance retrieval systems using vector databases MLOps Lifecycle Management: - Architect and manage scalable MLOps and LLMOps infrastructure for robust model training, evaluation, deployment, and monitoring systems. - Design comprehensive CI/CD pipelines, implement model monitoring frameworks to identify drift patterns, and ensure high availability

Machine Learning Engineer, Proactive Cupertino, United States of America The AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing! The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. We also develop state-of-the-art generative AI technologies based on Large Language Models to power innovative features in both Apple's devices and services on the cloud. As part of this group, you will be doing large scale machine learning and deep learning research and development to improve Open Domain Question Answering (using both structured knowledge graph data and unstructured web data) and Summarization as well as developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning and large language models (LLMs) to understand user queries, retrieve and rank relevant documents across multiple sources and synthesize information across documents to provide user with a direct answer that best satisfies their intent and information seeking needs. Additionally, you will research and develop the state-of-the-art LLMs for summarizing personal data such as emails, messages, and notifications. You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple's AI powered products and conduct applied research to transfer the cutting edge research in

Internal Communications Manager Foster City, California, United States About Zuora At Zuora, we help businesses grow smarter and adapt faster. Our platform powers modern business models - from subscriptions and usage-based pricing to AI-driven and outcome-based offerings - helping companies launch new products, automate complex billing, and unlock predictable, recurring revenue. We've led the Subscription Economy for more than a decade. Now we're evolving again by building the definitive platform for quote to cash and helping companies monetize their products and services with an adaptable, AI-ready foundation. The Opportunity We're looking for an Internal Communications Manager to be a key individual contributor driving our global internal communications programs. In this role, you'll serve as a central point of contact for internal communications, partnering with senior leaders and cross-functional teams to plan, write, and deliver communications that keep ZEOs aligned, informed, and inspired. You'll shape the narrative of where Zuora is going and how we get there together, working across channels such as email, Slack, our employee newsletter, intranet, and live events. You'll translate complex strategies into clear, human messages and help leaders communicate with clarity, confidence, and impact. * This is a Hybrid position, so you'll be working in-person in the Foster City office at least 3 days a week, with other days remote. Of course, you're welcome to come into the office more often if you're nearby. What you'll do Plan and execute internal communications programs - Partner with the broader Communications, Marketing, ZEO Success, and Strategic Operations teams

Underwriter I Pontiac, MI, US United Wholesale Mortgage (UWM) is America's #1 mortgage lender and we're dedicated to our team members' continued growth and success. Join a company that invests in you! COMPENSATION $45,000 starting salary Bonus opportunities MUST-KNOWS This is an 8-hour shift, Monday-Friday This position requires full-time, on-site attendance in Pontiac, MI This role does not provide immigration sponsorship. Candidates must be legally authorized to work in the US without requiring sponsorship now or in the future WHAT YOU WILL BE DOING Collect, review and examine an applicant's financial history and records Perform risk assessment reports Analyze client's financial statements and identify effective alternatives to application Maintain knowledge of and adhere to investor guidelines, state and federal underwriting lending policies and the required documentation Keep up with changes and adaptations as they occur Provide elite service to internal and external clients Communicate with clients via email and over the phone on loan status, which includes Mortgage Loan Officers and Broker Owners Manage multiple priorities while building rapport with clients WHAT WE NEED FROM YOU Must Have Qualifications: Completed 2 or 4-year college degree Complex rationale and problem-solving skills Computer literacy in Microsoft Word, Excel, Outlook and other internet resources Excellent written and verbal communication skills Willingness to learn and be coached Adaptable to a flexible, fast-changing industry Se

Machine Learning Scientist San Francisco | OnSite About Us Relace is building the models and infrastructure that code agents reach for. We power the fastest model on OpenRouter (10,000 tok/s) and deliver optimized small language models designed for retrieval, application, and core code generation functions. Our technology supports some of the world's fastest-moving companies - including Lovable, Figma, and Vercel - as they deploy and scale code generation to hundreds of millions of users. We recently raised our Series A from a16z, and we're growing quickly. Our team is made up of mathematicians, physicists, and computer scientists who are deeply passionate about their craft. If you thrive on ambitious technical problems, care about elegant systems design, and want to build the foundation of how code gets written at scale, this is the place for you. THE ROLE We're looking for a Machine Learning Scientist to push the limits of small, high-performance language models. This is a deeply technical role focused on advancing the capabilities of our models for retrieval, application, and code generation. The ideal candidate has a strong background in ML research and engineering, is comfortable working with both theory and production systems, and thrives in an environment where ideas turn into deployed infrastructure fast. This person should be excited to work on training methodology, optimization, evaluation, and model architecture at scale - and collaborate directly with infrastructure and product teams to get breakthroughs into production quickly. This role is best suited for someone who loves both mathematical elegance

Senior Sustainability Engineer , Data Center Engineering Sustainability Sydney, New South Wales, AUS As part of Amazon's Climate Pledge to reach net zero carbon by 2040, AWS is committed to reducing carbon emissions across our infrastructure, and we are seeking a Senior Sustainability Engineer to drive carbon reduction in the design of our Data Centers across our rapidly expanding APAC portfolio. As a Senior Sustainability Engineer, you will work closely with the AWS Sustainability team, Global Design Engineering teams and Procurement teams to reduce carbon intensity in current and future AWS data centers. You will create mechanisms to identify opportunities for carbon reduction and track their success. Our standard data center solutions are adapted to the many geographies in which we operate and our building materials, structures and equipment are adapted to that local environment, the materials available and the construction techniques and competencies in that market. This provides the potential for specific carbon reduction opportunities on a building-by-building basis. Key job responsibilities • Understand the design and functionality of AWS data centers globally • Create and/or modify existing mechanisms to track carbon throughout the project life-cycle • Own the tracking of carbon for projects within your region -including working directly with our construction team and equipment suppliers to identify opportunities for carbon reduction (with our scale we drive the design of our equipment) • Identify project/region specific opportunities to reduce carbon on specific builds • Identify and pilot novel low-carbon materials and technologies • Engage with material suppliers and