Adaptive jobs

Senior Machine Learning Engineer, AdTech New York, NY | [Remote] | Remote

Lead Teller Mansfield, Texas, United States of America Are you known for your ability to adapt quickly to fast-paced environments and embrace change with open arms? Provide guidance to tellers in complex customer transactions, and training for new tellers...

Multi-Function Engineer Atlanta, Georgia, United States of America WBD is adapting remote (REMI) workflows to their portfolio and will be launching an area dedicated to remote productions called the Remote Operations Center (ROC). The ROC will be a multipurpose space...

Manager I, Engineering - Applied AI - Natural Language & Conversational Interfaces New York, New York, USA Datadog's Applied AI group is building the AI capabilities that transform how users interact with our platform. Our Natural Language Query (NLQ) and Command-I (Cmd-I) teams are at the forefront of this transformation, enabling users to query telemetry data, investigate production issues, and configure Datadog through natural language and intelligent conversational agents. As an Engineering Manager I in Applied AI, you will lead a team of engineers and applied scientists building natural language interfaces and conversational AI systems. Your teams will work on challenges spanning LLM-powered query translation, context-aware retrieval systems, agentic architectures, and evaluation frameworks. You will guide technical execution, support team growth, and collaborate across engineering, product, and research to deliver AI experiences that fundamentally change how customers use Datadog. At Datadog, we place value in our office culture, the relationships and collaboration it builds and the creativity it brings. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do Lead and develop a team of engineers and applied scientists building NLQ translation systems, conversational agents, or AI-powered interfaces Own the delivery of high-quality natural language capabilities, from semantic understanding and contextual retrieval to query generation and agentic reasoning Build products that create data flywheels: design systems that capture user intent and feedback to continuously improve model quality and train differentiating capabilities Drive evaluation and iteration practices for AI

Associate Producer Yas South, Abu Dhabi, United Arab Emirates As an Associate Producer in the CNN Abu Dhabi Features team you will be an enthusiastic, organized, energetic team player, who can adapt to a fast-paced environment and has a passion for storytelling...

Senior Machine Learning Engineer - Speech to Text Paris office ABOUT NABLA We are a team of entrepreneurs, clinicians and engineers committed to bringing back joy to the practice of medicine. Together with a community of clinician innovators, we've harnessed the best of machine learning science to develop Nabla: the leading AI assistant that's restoring the human connection at the heart of healthcare. By streamlining clinical documentation, Nabla is helping clinicians focus on what matters most - patient care. Today, over 100,000+ clinicians across 130+ healthcare organizations trust Nabla to support how they deliver care every day. We're at the start of an ambitious journey: Ambient listening, dictation, coding, and command capabilities are all converging into a proactive assistant that intuitively streamlines clinical and financial workflows. Backed by a recent $70M Series C, we're hiring to build the next generation of clinical AI and improve the lives of clinicians and patients everywhere. This is a great time to join us! THE BEST OF AI AT THE SERVICE OF HEALTHCARE Nabla's phenomenal traction is the result of years of rigorous product and ML development. Led by former Meta AI Research engineers, our team continuously pushes the frontier of speech and language AI in real-world clinical environments. We operate at scale, processing billions of tokens and thousands of hours of audio every week. Yann LeCun, Meta's Chief AI Scientist and Turing award winner, is an advisor to Nabla. ENGINEERING AT NABLA Engineering at Nabla is lean, fast-moving, and deeply technical. Our teams

Private Real Estate Administrator I Dallas, Texas, United States of America Are you known for your ability to adapt in everchanging fast-paced environments? Review legal documents and determine account ownership for initial setup, review TREM files for accuracy. Determine mar...

Applied Scientist II, Advertising Incrementality Measurement New York, New York, USA Do you want to lead the Ads industry and redefine how we measure the effectiveness of Amazon Ads business? Are you passionate about causal inference, Deep Learning & AI, raising the science bar, and connecting leading-edge science research to Amazon-scale implementation? If so, come join Amazon Ads to be a science leader within our Advertising Incrementality Measurement science team! Our work builds the foundations for providing customer-facing advertising measurement tools, furthering internal research & development, and building out Amazon's advertising measurement offerings. Incrementality is a lynchpin for the next generation of Amazon Advertising measurement solutions, and this role will play a key role in the release and expansion of these offerings. We are looking for a thought leader that has an aptitude for delivering customer-focused solutions and who enjoys working on the intersection of Big-Data analytics, Machine/Deep Learning, and Causal Inference. A successful candidate will be a self-starter, comfortable with ambiguity, able to think big and be creative, while still paying careful attention to detail. You should be able to translate how data represents the customer journey, be comfortable dealing with large and complex data sets, and have experience using machine learning and/or econometric modeling to solve business problems. You should have strong analytical and communication skills, be able to work with product managers to define key business questions and work with the engineering team to bring our solutions into production. You will join a highly collaborative and diverse

Sr. Operations Manager Weekend Day Cheyenne, Wyoming, United States of America We are looking for a Senior Operations Manager to oversee all operations and ensure the efficient movement of inventory through the facility. This role requires strong leadership skills and the ability to adapt to changing workflow conditions.

Research Scientist, Dexterous Manipulation & Robot Learning Cambridge, MA USA Your Impact at LILA As a Robotics Scientist at Lila, you will lead the research and development of autonomous robotic systems that serve as the intelligent physical infrastructure of our scientific superintelligence platform. You'll develop novel algorithms and deploy intelligent robotic solutions that interact seamlessly with human scientists and complex lab environments. Your work will accelerate our mission by enabling fully autonomous workflows for scientific discovery, combining cutting-edge robotics, machine learning, and systems engineering. What You'll Be Building - Pioneering approaches for precise and dexterous robotic manipulation that leverage foundation models, reinforcement learning, diffusion-based methods, and human guidance to enable adaptive and intelligent robotic systems capable of complex tasks across diverse scientific environments - Developing novel human-robot interaction frameworks that incorporate imitation learning, and learning from human guidance, feedback, demonstrations and corrections, creating intelligent robotic agents that can seamlessly integrate with human scientific workflows and rapidly adapt to new experimental contexts - Advancing dexterous manipulation research through cutting-edge machine learning approaches, including diffusion models and adaptive learning algorithms, that synthesize multi-modal sensing (tactile, visual, and language) to develop generative skill representation sand sophisticated motor learning policies for intelligent robotic systems - Designing autonomous robotic systems with trust calibration mechanisms, enabling intelligent agents that can dynamically adjust their behaviors based on contextual information in complex scientific tasks What You'll Need to Succeed - Ph.D. in Robotics, Machine Learning, Computer Science, or a related field with demonstrated expertise in foundation models for

Agent Experience Designer, Voice (Multilingual) San Francisco, CA, San Francisco, CA, United States About us - At Sierra, we're creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney. - We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. - Our co-founders are Bret Taylor and Clay Bavor . Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google's AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you'll do You'll help shape and scale high-quality voice experiences across a global portfolio of AI agents. Working closely with cross-functional teams and customer stakeholders, you'll combine systems thinking, design judgment, and operational rigor to improve voice quality, accelerate multilingual readiness, and create more human experiences. - Improve breadth and depth of voice

Applied Scientist, Alexa Smart Properties Seattle, Washington, USA Are you looking for an opportunity to build an LLM-based enterprise-grade, highly available, large scale solution? Does it excite you to find patterns and build generic, composable solutions to solve complex problems? Are you looking for inventing newer and simpler ways of building solutions? If so, we are looking for you to fill a challenging position in Alexa Enterprise (AE) team. AE brings the power of Alexa voice assistant to enterprise partners in industries such as hospitality and senior living. We are inventing Large Language Models (LLM)-driven interactions to create memorable moments for users while simultaneously boosting partner revenues and reinforcing brand identity. Beyond managed properties, AE extends Alexa's reach to premium third-party electronic devices. AE team is looking for a highly skilled and inventive Applied Scientist, with a strong machine learning background, to lead the development and implementation of state-of-the-art ML systems for Alexa Enterprise use cases. As an Applied Scientist in the team, you will play a critical role in driving the development of conversational assistants, in particular those based on Large Language Models (LLM's), that meet enterprise standards. You will handle Amazon-scale use cases with significant impact on our customers' experiences. Key job responsibilities . You will analyze, understand and improve user experiences by leveraging Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence. . You will work on core LLM technologies, including developing best-in-class modeling, prompt optimization algorithms to enable Conversation AI use

Enterprise Solution Architect - Billing, CPQ Remote - 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 As a Zuora Enterprise Solution Architect (ESA), you will be a trusted partner and advisor to live, already-implemented customers. This role is focused on maximizing the value of Zuora solutions by aligning them with customers' strategic goals, optimizing Order-to-Revenue operations, and driving measurable business outcomes. You will deliver customized roadmaps, lead strategic workshops, and provide ongoing optimizations to ensure that Zuora's platform continues to meet customers' evolving needs. Acting as a key strategist, you'll guide customers through challenges and opportunities, helping them unlock the full potential of Zuora to support their long-term growth and success. Key Responsibilities Strategy Alignment - Collaborate with customers to understand their business objectives and develop phased, actionable roadmaps tailored to their strategic goals. - Design scalable solutions that evolve with customers' growth, ensuring long-term value creation and adaptability to changing business needs. - Prioritize frameworks that deliver measurable outcomes and align with best practices in subscription management and Order-to-Revenue processes. Strategic Advisory & Insights

Machine Learning Engineer Strava SF, San Francisco, California, United States About Strava Strava is the app for active people. With over 180 million athletes in more than 185 countries, it's more than tracking workouts-it's where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava's got you covered. Find your crew, crush your goals, and make every effort count. Start your journey with Strava today. Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward. We are looking for a Machine Learning Engineer to join the growing AI and Machine Learning team at Strava. This team is responsible for sophisticated machine learning models and systems which provide value to Strava athletes including personalization, recommendations, search, and trust and safety. The team also maintains the ML platform and infrastructure that enables our team to iterate on models quickly and deploy them reliably at scale. This is an important role in the ML team and across Product teams designing, roadmapping, and implementing innovative machine learning algorithms. We value full stack ML engineers who are able to work on all parts of an ML pipeline from model building, evaluation, optimizing performance, and ensuring the scalability and reliability of these production models. We also seek those who can improve the systems and tools behind the ML pipeline to further empower the team. We follow a flexible hybrid

Applied Scientist Gen AI - Amazon Advertising, CreativeX Seattle, Washington, USA Amazon Advertising is one of Amazon's fastest growing businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! The Creative X team within Amazon Advertising time aims to democratize access to high-quality creatives (audio, images, videos, text) by building AI-driven solutions for advertisers. To accomplish this, we are investing in understanding how best users can leverage Generative AI methods such as latent-diffusion models, large language models (LLM), generative audio (music and speech synthesis), computer vision (CV), reinforced learning (RL) and related. As an Applied Scientist you will be part of a close-knit team of other applied scientists and product managers, UX and engineers who are highly collaborative and at the top of their respective fields. We are looking for talented Applied Scientists who are adept at a variety of skills, especially at the Agentic AI, development and use of multi-modal Generative AI and can use state-of-the-art generative music and

Sensor Fusion Engineer Morocco About Us Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. About the Role As a Sensor Fusion Engineer, you will adapt, tune, and validate our core sensor-fusion capability to work seamlessly with new and third-party sensor systems. Sitting within our product and engineering team, your mission is to turn raw sensor data into an accurate, coherent track picture as our systems incorporate additional sensors over time. This is an applied, field-willing engineering role. You will work hand-in-hand with our Integration Software Engineers (who deliver the sensor feeds) and support the deployment team for episodic, on-site tuning and validation against real-world sensor data. Durable fusion improvements you develop will flow directly back into our core product baseline. Responsibilities - Fusion Adaptation: Adapt existing sensor-fusion capabilities-including track correlation, data association, filtering/estimation, and track management-to accommodate new and third-party sensor characteristics. - Sensor Characterization: Analyze real-world sensor data to thoroughly understand its behavior, utilizing these insights to inform and refine fusion parameters and models. - Tuning & Optimization: Fine-tune fusion performance within specific operational contexts,

Art Director - Lifecycle Engagement, XCM EU London, England, GBR This role can be based in London, Paris, Milan or Madrid Amazon XCM is seeking an Art Director responsible for visual and motion execution across EU lifecycle engagement marketing programmes. These programmes require creative that can operate at speed, scale and iteration - with visual strategies that drive awareness, intent and purchase across the full funnel for key audience segments including New-to-Amazon Customers (NACs). The successful candidate will bring strong motion and social-first creative craft while ensuring visual quality and brand coherence across EU marketplaces. You will collaborate closely with the Lifecycle Engagement Copywriter on larger initiatives while also leading visual execution independently across multiple programmes. Visual frameworks and design systems must be built to accommodate the realities of EU execution - including language-specific layout variation, typographic adaptation, and execution across markets at different stages of digital maturity. Experience designing localisation-ready creative frameworks for multiple EU languages and markets is essential. Key job responsibilities - Lead visual and motion execution for mid-funnel programmes across acquisition, discovery, engagement and Prime initiatives - Develop scalable visual and motion frameworks that enable mid-funnel creative to adapt quickly across formats, channels and EU markets. - Partner closely with the Lifecycle Engagement Copywriter to bring campaign ideas to life - Ensure visual quality and brand coherence as mid-funnel creative scales across markets and formats - Develop scalable visual approaches suitable for localisation and adaptation across EU - Stay connected to emerging social platforms, motion formats

Manager, Applied Science, Alexa AI Bengaluru, Karnataka, IND The AURORA: Alexa Understanding, Runtime, ORchestration, and Applied sciences org is looking for an Applied Science Manager with a background in Natural Language Processing, Machine/Deep Learning, and Large Language Models (LLMs). You will be working with a team of Applied Scientists to enhance existing features and explore new possibilities with LLM empowerment. You will own high visibility programs with broad visibility and global impact. You will interact with a cross-functional team of Science, Product, and Engineering leaders. We are looking for an Applied Science Manager who will play a key role in the next generation of AI powered Conversational Assistants. Core Leadership & Team Management * Lead and manage applied scientists working on conversational AI capabilities across the full Alexa+ agent execution path * Build and develop high-performing science teams focused on understanding, reasoning, evaluation, and runtime systems * Foster cross-functional collaboration between science and engineering teams to deliver both customer-facing (CX) and developer-facing (DX) experiences Platform & Innovation * Develop modular, reusable platforms that enable 1P and 3P engineers and scientists to accelerate innovation * Transform how builders create conversational AI solutions at scale * Drive evaluation tooling and assessment frameworks to measure conversational experience quality Cross-Organizational Collaboration * Partner with teams across the organization to align goals and accelerate delivery * Navigate organizational changes and simplify interactions between components and teams * Establish clear communication channels and workflows across reporting lines Strategic Impact * Contribute to the team's mission of

Machine Learning Engineer 2 Locations posted: Posted 4 Days Ago

Principal Product Manager- Adapters Tel Aviv, Israel Axonius is seeking a Principal Product Manager to lead our strategic Adapter Hub domain, which drives the platform's connectivity across more than 1,500 third-party system integrations. In this highly technical and impactful role, you will define the core configuration, onboarding, and error-handling user experiences while simplifying complex data mappings and action automations. You will collaborate closely with UX designers and an engineering team leveraging cutting-edge AI technologies to ensure enterprise customers seamlessly unlock the full value of their integrated technical ecosystems. Responsibilities - Analyze third-party enterprise architectures, APIs, and data models (such as AWS, GCP, ServiceNow, and Microsoft) to define functional product requirements and data mapping structures. - Own the end-to-end user experience for integration setup, configuration, onboarding, error handling, and alerting mechanisms. - Partner with UX design teams to translate intricate backend architectures and data-pull parameters into simple, intuitive user workflows and interfaces. - Collaborate with engineering teams to guide product decisions, scope milestones, and execute roadmap deliverables in an AI-forward development environment. Minimum Qualifications - 5+ years of Product Management experience delivering enterprise software, platform infrastructure, or data integration products. - Proven technical literacy with hands-on experience evaluating APIs, data models, and system integration architectures. - Demonstrated track record of designing complex user interfaces (UX) and translating deep technical capabilities into intuitive business-user workflows. - Professional proficiency in English and Hebrew with experience leading product delivery in high-velocity engineering environments. Preferred Qualifications - Professional background in software engineering, backend development, or

Machine Learning Engineer - Speech & Multimodal Language Modeling Cupertino, United States of America Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or experience we deliver is the result of us making each other's ideas stronger. The diversity of our people and their thinking inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. The Special Projects team at Apple is developing novel user-facing features that leverage the multimodal capabilities of state-of-the-art foundation language models. We are looking for a highly skilled Machine Learning Engineer to build and evaluate these experiences, with a specific focus on Multimodal and Speech Language Models. A successful candidate is experienced in evaluating complex foundation model-driven systems end-to-end, translating subjective product requirements into objective criteria, has strong statistical analysis skills, and has worked with Speech Language Models. Design and implement processes for evaluating and improving multi-modal generative models to meet end-to-end product requirements. Work with Data Engineers to process large scale speech audio data for foundation model training Fine-tune Large Language Models (LLMs) and Speech Language Models (SpeechLMs) to improve performance for specific use cases Work closely with other ML Researchers to define evaluation criteria and methodology to systematically evaluate foundation models Experimental design for testing models/systems under test Conduct robust statistical analysis to identify

Senior Electrical Engineer Hawthorne, California, United States CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage-domain dominance. The company's products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats. CHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, Seattle, and London. For more information, please visit www.chaosinc.com . Role Overview: CHAOS is seeking a Senior Electrical Test Systems Engineer to design, build, and maintain Special Test Equipment (STE), Ground Support Equipment (GSE), and Hardware-in-the-Loop (HIL) infrastructure used to develop, integrate, test, and validate advanced sensor, avionics, and embedded systems in R&D, production, and field environments. This role is responsible for the electrical architecture, integration, and sustainment of automated test racks, interface test adapters (ITAs), cable assemblies, instrumentation, and subsystem interconnects. The ideal candidate has experience developing complex electronic test systems using commercial instrumentation and industry-standard interfaces within aerospace, defense, or high-performance embedded system environments. This is a full-time, on-site position in El Segundo, CA. Responsibilities: - Design, develop, integrate, and sustain automated STE/GSE systems for sensor, avionics, and embedded hardware platforms - Architect test racks, interface test adapters (ITAs), cable assemblies, subsystem interconnects, and instrumentation interfaces - Integrate and troubleshoot commercial test equipment

Founders Associate 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 Adaptyv is growing fast. We are significantly expanding our lab this year, onboarding more and more customers every week, and building the systems needed to keep the company running smoothly as we scale. We are looking for a Founders Associate to own and build the operational backbone of the company as we scale. This is a high-ownership generalist role: you'll take entire

Registered Nurse Internal Float Hoffman Estates, Illinois, United States Join our team as a Registered Nurse Internal Float, where you will provide direct, patient-centered nursing care across multiple units. This role requires adaptability and strong communication skills to coordinate care effectively.