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The Hearing Product Group is focused on researching and developing next-generation audio technologies for AR glasses and wearable devices — from acoustic capture and spatial audio to noise reduction and hearing enhancement. We are seeking an experienced Acoustic Research Engineer (CW) to join our team and contribute to the design, execution, and analysis of complex acoustic measurements that drive our audio research and product development.
For 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. Our team has been behind notable product launches (ChatGPT, API, Sora), creating tools that help developers write code, enable businesses to operate more efficiently, and empower individuals to learn and create.
Clyde Hill, WA30+ days ago
AS A SENIOR FULL STACK DATA SCIENTIST AT SNOWFLAKE YOU WILL: Be a proactive partner to Product Management and Engineering to shape feature roadmaps and help design metrics and analytical workflows to evaluate their success and effectiveness. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results.
Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Photoshop ART is seeking a Research Scientist to join our inpainting R&D team focused on making significant progress in image generation/restoration, low level vision, image editing with an eventual posture toward productization.
In close cooperation with our customers, Bruker is enabling innovation, improved productivity, and customer success in life science molecular research, in applied and pharma applications, in microscopy and nanoanalysis, and in industrial applications, as well as in cell biology, preclinical imaging, clinical phenomics and proteomics research and clinical microbiology. Being one of the world's leading analytical instrumentation companies, Bruker is strongly committed to further fully meet its customers' needs as well as to continue to develop state-of-the-art technologies and innovative solutions for today's analytical questions.
Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. The related applications include image/video/3D generation, editing, and understanding, conditioned on controls stemming from large language models, or other innovative interactions tailored for creative workflows, and multimodal priors.
AI Scientists also collaborate and communicate with business partners to design and develop data-driven solutions to business problems and interpret and communicate results to technical and non-technical audiences - all in service of making our members' health journeys easier. * The AI Scientist II would have a degree (master's or PhD preferred) in a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics.
AI Scientists also collaborate and communicate with business partners to design and develop data-driven solutions to business problems and interpret and communicate results to technical and non-technical audiences - all in service of making our members' health journeys easier. This position applies expertise in advanced analytical tools such as generative AI, machine learning, deep learning, optimization, and statistical modeling to solve business problems in the healthcare payer domain.
Empowering researchers to perform single cell sequencing with unprecedented scale and ease, our pioneering approach has enabled groundbreaking discoveries in cancer treatment, tissue repair, stem cell therapy, kidney and liver disease, brain development, and the immune system. In this role you will work cross-functionally with several internal teams, including the Field Application Scientists (FAS), Bioinformatics Application Scientists (BAS), Research & Development, Sales, and Marketing teams to ensure customer outreach is conducted in a cohesive and expeditious manner.
We are looking for a Senior Applied Research Scientist who is experienced with training large language models and/or large multimodal models. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives.
In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Technical Skills: Experience programming hardware interfaces (e.g., serial/I2C/SPI communication, DAQ systems, motion control) using Python, LabVIEW, C, or similar languages is required.
For 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. You'll work on some of the hardest problems in online experimentation: sample ratio mismatch detection, variance reduction, bias mitigation, metric design, triggered analysis, heterogeneous treatment effects, sequential testing, and experimentation in complex ML systems.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. You'll combine strong quantitative rigor with strategic thinking to design measurement approaches, build and operationalize models, and run test-and-learn pilots that inform high-impact monetization programs.
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. Develops strategies for and leads team's efforts to drive efficiencies across data extraction and ensure data quality and completeness using data wrangling, complex data modeling, and artificial intelligence.
Masters, MBA, JD, MD) or 3 or more years of experience with a PhD* Four (4) years of experience solving data problems using data technologies (e.g., Hadoop, Hive, Kafka, Redis, NoSQL, RDBMS)* Two (2) years of experience designing, building/fine tuning ML/AI models around data insights, anomaly detection e.t.c* Two (2) years of experience in designing, building, evaluating metrics for model performance and business outcome* Three (3) years of experience building and pushing code into production.* Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Advises on technical specifications during discussions with collaborators (e.g., Product owners, business partners, Cybersecurity) to identify and clarify sophisticated technical or business requirements and identify business needs and upstream and/or downstream system/application dependencies.
For over five decades, we've connected the lessons of past failures with tomorrow's solutions to advise clients as they innovate technologically complex products and processes, ensure the safety and health of their users, and address the challenges of sustainability. Providing support to internal and external clients when planning data collection, including framing the problem, experimental design, sample size calculations, and identifying appropriate populations and sampling strategies.
In this role, you will work as part of a team to apply your skills and knowledge of human factors issues such as attention and perception, sensorimotor control, and workload, and relate them to driver behavior, road system design, driver-vehicle interface evaluations, driver interactions with automated vehicles, and other related applications. For over five decades, we've connected the lessons of past failures with tomorrow's solutions to advise clients as they innovate technologically complex products and processes, ensure the safety and health of their users, and address the challenges of sustainability.
If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, type Option 2 (HR-related inquiries) and then type Option 1 (HR Shared Services Center), which will route you to EY’s Talent Shared Services Team or email SSC Customer Support at ssc.customersupport@ey.com. Provide a full range of consulting services to help State, Local and Education clients implement new ideas to help achieve their mission outcomes by delivering a unique perspective on how data science and analytics can transform and improve their entire organization.
Masters, MBA, JD, MD) or 6+ years of work experience with a PhD* Three (3) years of experience building AI / ML powered models for predictive analytics / insights* Four (4) years of experience solving data problems using data technologies (e.g., Hadoop, Hive, Kafka, Redis, NoSQL, RDBMS).* Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
However, we find that the most successful candidates typically come in with something like the following experience: - BS/MS with 5+ years or a PhD with 3+ years of experience working in a DS and ML role that involves bringing products from ideation to production. A track record of owning a project end-to-end (from research to production), and partnership with a cross-functional team of data scientists, engineers, and product managers to deliver the data science solution and models.
Disqualifiers: Candidates who are not comfortable engaging with stakeholders regularly (e.g., presenting insights, driving conversations, or training partners on data outputs) would not be a fit for this role. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.
For over five decades, we've connected the lessons of past failures with tomorrow's solutions to advise clients as they innovate technologically complex products and processes, ensure the safety and health of their users, and address the challenges of sustainability. Proven ability to communicate complex scientific concepts clearly and effectively through well-structured writing, precise editing, and thoughtful verbal communication tailored to diverse audiences.
In this role, you will work as part of a team to address human factors, safety management, risk communication, and risk perception issues in a variety of contexts that span occupational, consumer, and community settings, such as those involving consumer products, electronics, motor vehicles, pedestrians, manufacturing, oil and gas production, healthcare, aviation, and more. For over five decades, we've connected the lessons of past failures with tomorrow's solutions to advise clients as they innovate technologically complex products and processes, ensure the safety and health of their users, and address the challenges of sustainability.
Advises on technical specifications during discussions with collaborators (e.g., Product owners, business partners, Cybersecurity) to identify and clarify sophisticated technical or business requirements and identify business needs and upstream and/or downstream system/application dependencies. Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Systems (any), Business Analytics, Business Administration, Management, or a related field, and 2 years of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Systems (any), Business Analytics, Business Administration, Management, or a related field, and 5 years of post-bachelor’s, progressive related work experience. Designing, maintaining, and managing product roadmaps across stakeholders including defining KPIs (Key Performance Indicators) and success metrics using OKRs (Objectives and Key Results).
Day to day activities or responsibilities include: conducting market research; writing features or user stories; determining specifications; defining long-term strategy of the product; creating the product road map; driving technical delivery end to end; defining scope for releases/product increments; partnering with development, project/program management, marketing, and other key stakeholders to define release schedule; and support/drive go-to-market activities as needed. Product Manager, Technical is the ultimate "jack-of-all-trades" leveraging deep customer empathy, strategic thinking, commercial, analytical, technical capability and knowledge, and leadership prowess to successfully deliver delightful and differentiated products that drive growth and positively impact customers lives.
We collaborate with customers around the world to advance the release of effective, high-quality medicines, ensure the safety of food and water, and drive better patient outcomes by detecting diseases earlier, managing routine infections, and combating antibiotic resistance. This role is execution-focused and customer-facing, responsible for identifying opportunities, expanding adoption of process analytics solutions, and helping customers gain deeper, real-time insight into cell performance, process behavior, and product quality.
Day to day activities or responsibilities include: conducting market research; generating product requirements; determining specifications; defining long-term strategy of the product; creating the product road map; helping drive and support technical delivery end to end; defining scope for releases/product increments; partnering with development, project/program management, marketing, and other key stakeholders to define release schedule; and support/drive go-to-market activities as needed. Sr Product Manager is a "jack-of-all-trades" leveraging deep customer empathy, strategic thinking, commercial, analytical, and leadership prowess to successfully deliver delightful and differentiated products that drive growth and positively impact customers lives.
We're looking for candidates with strong technical and product management skills, who have built systems that leverage and imbue AI into the solutions, tools, and services that accelerate impact, have experience managing a PM team, and that can operate at both the strategic level and execution level. AS A SNOWFLAKE SENIOR MANAGER, PRODUCT MANAGER, YOU WILL: Grow a world-class PM team that delivers best in class systems, services, and tools to help engineers at Snowflake more easily deliver value to customers.
We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, Product Designers identify opportunities, shape the vision of our products, and ensure we're delivering highly crafted, honed products that our customers love.
Evaluate and optimize thermal solution requirements of consumer electronic products • Use simulation tools like Star-CCM+ or FloTherm XT/EFD for analysis and design of products • Validate design modifications for thermal concerns using simulation and actual prototypes • Establish temperature thresholds for user comfort level and component level considering reliability requirements • Have intimate knowledge of various materials and heat spreaders solutions to resolve thermal issues • Use of programming languages like Python and Matlab for analytical/statistical analyses and automation • Collaborate as part of device team to iterate and optimize design parameters of enclosures and structural parts to establish and deliver project performance objectives • Design and execute of tests using statistical tools to validate analytical models, identify risks and assess design margins • Create and present analytical and experimental results • Develop and apply design guidelines based on project learnings. You should be comfortable collaborating in a fast-paced and often uncertain environment, and contributing to innovative solutions, while demonstrating leadership, technical competence, and meticulousness.
Description Amazon's Price Perception and Evaluation team is seeking a driven Data Scientist to harness planet scale multi-modal datasets, and navigate a continuously evolving competitor landscape, in order to build and scale an advanced self-learning scientific price estimation and product understanding system, regularly generating fresh customer-relevant prices on billions of Amazon and Third Party Seller products worldwide. The Data Scientist will work closely with other research scientists, applied scientists, and SDEs to design and run experiments, conduct statistical analysis, research new algorithms, and find new ways to improve Seller Pricing to optimize the Customer experience.
p>This role requires demonstrated expertise in ADC-specific analytical challenges, including drug-to-antibody ration (DAR), aggregation, free payload quantification, and stability-indicating methods. This role will lead the design, execution, and lifecycle management of robust analytical methods to ensure product quality, support process development, and enable IND and clinical-stage programs.
Basic Qualifications - PhD, or Master's degree and 10+ years of industry or academic research experience - 5+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related language - Experience in building machine learning models for business application Preferred Qualifications - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Our team is responsible for developing predictive models and tools to support Real Estate and Topology analysts in making important decisions regarding our stores-including new store openings, relocations, closures, remodels, design, new formats, and more.
li>8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years of work experience with a Master"s degree).
Research and develop analysis and methods to improve the quality of Google"s user-facing products (e.g., application areas include AI Mode shopping product quality, and shopping search quality).
p>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. 13 years of work experience using analytics to solv.e product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 10 years work experience and a Master"s degree).
Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end; * Design and conduct A/B experiments to evaluate proposed solutions based on in-depth data analyses; * Think big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems * Effectively communicate technical and non-technical ideas with teammates and stakeholders; * Translate complex scientific challenges into clear and impactful solutions for business stakeholders. Basic Qualifications - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
Redmond, Washington30+ days ago
div style="margin-bottom:11px">Cross-Functional & External Collaboration
- Serve as a technical subject-matter expert, interacting with:
- CROs, central laboratories, and IVD partners. Clinical Trial & Central Lab Support
- Support implementation of IHC assays in clinical trials, including:
- Central laboratory qualification and oversight.
Preferred qualificationsMasters degree in Statistics Mathematics Data Science Engineering Physics Economics or a related quantitative field.15 years of work experience using analytics to solve product or business problems performing statistical analysis and coding e.g. Own projects end-to-end covering problem definition metrics development data extraction and manipulation visualization creation and implementation of analyticalstatistical models and presentation to stakeholders.
p>• 3-5+ years of hands-on experience in IHC assay development, preferably in a CDx or IVD setting • Direct experience supporting oncology biomarkers and clinical trials • Experience across the CDx development lifecycle (RUO/LDT through IVD readiness) • Strong understanding of IHC scoring methodologies (e.g., TPS, H-score, CPS) • Familiarity with analytical validation and regulatory expectations for CDx • Demonstrated ability to work effectively in cross-functional teams • Soft Skills: • Strong scientific rigor with excellent documentation and data interpretation skills • Ability to operate in a fast-paced, matrix environment • Clear and effective communication with both technical and non-technical stakeholders • Experience working with global teams is a plus. • Work closely with Regulatory Affairs and Quality Assurance to ensure compliance with: • FDA CDx guidance (US) • NMPA/CDE requirements (China), where applicable • IVDR (EU), as relevant • Support preparation of regulatory documentation, including: • IDE/IND biomarker sections • CDx bridging strategies (RUO/LDT IVD) • Analytical and clinical performance summaries • Ensure assay development aligns with QMS requirements, design controls, and document traceability.