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Our client, a leading research organization specializing in virtual and augmented reality technology, is seeking a Research Scientist IV to join their innovative team. As a Research Scientist IV/ Applied Perception Scientist, you will be part of the Reality Labs Research department supporting the Audio team. The ideal candidate will demonstrate strong analytical skills, proactive problem-solving abilities, and excellent communication skills, which will align successfully in the organization. Job Title: Applied Perception Scientist Location: Redmond, WA Pay Range: $70-$75 per hour Contract Length: 12 months with possible extension What's the Job? • Oversee and drive research projects on speech quality, analyzing results and reporting findings., • Monitor issues, facilitate resolutions, and proactively keep projects on schedule., • Implement and conduct pilot listening tests and other perceptual experiences., • Regularly report on project progress, dependencies, and risks to stakeholders., • Strong interpersonal and communication skills with meticulous attention to detail., • Proactive approach with the ability to manage multiple projects simultaneously., • Excellent organizational and time management skills., • Experience with research related to speech perception, hearing sciences, or auditory perception in academic or industrial settings., • Opportunity to contribute to cutting-edge advancements in augmented reality audio technology., • Collaborate with a team of world-class researchers, developers, and engineers., • Engage in innovative projects that redefine human hearing capabilities., • Work in a dynamic environment that fosters growth and professional development., • Be part of a mission-driven organization shaping the future of immersive experiences. Preferred qualifications, • Experience with tonal languages., • PhD degree or equivalent experience., • Experience with AI generative speech., • Medical and Prescription Drug Plans, • Dental Plan, • Vision Plan, • Health Savings Account, • Health Flexible Spending Account, • Dependent Care Flexible Spending Account, • Supplemental Life Insurance, • Short Term and Long Term Disability Insurance, • Business Travel Insurance, • 401(k), Plus Match About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells. ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands – Manpower, Experis, Talent Solutions, and Jefferson Wells – creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.

Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter. Our base salary range is $167,030 - $260,570, and in addition we have generous bonus plans to provide a competitive compensation package. Who You Are: As a Research Scientist on our team, you'll have the unique opportunity to develop and investigate core research problems in foundation models and skills for robotics, contribute to the development of completely open data sets, benchmarks, and models, and experiment with robots in the real world. We are looking for applicants interested in robotics, with a focus on core techniques in robot manipulation, large scale training in simulated environments, vision-language-action models, and skill learning. International candidates are welcome to apply. Pay is competitive, and visa sponsorship is available. We collaborate frequently with researchers on other Ai2 teams focused on embodied AI, computer vision, and natural language processing, among others. Our main office has close ties and unique access to researchers at the University of Washington, only 1.5 miles away. Researchers excited about such internal and external collaborations are encouraged to apply. Research Scientists in the Robotics team will work on multiple exciting research projects in the above areas but can also contribute and engage in a variety of other activities critical to our research and mission. These include opportunities to lead select projects, mentor interns and pre-doctoral candidates, author and present scientific papers, and collaborate with researchers at other organizations including universities. Who We Are: Ai2's Robotics team is led by Dieter Fox. The team aims to develop the simulation environments, data generation, and benchmarking skills that enable a rigorous and scientific investigation of the core building blocks and scaling properties of robot foundation models. The insights gained from these experiments will inform the development of truly capable foundation models for robots operating in the real world. As a Research Scientist on the Robotics team, you will have the opportunity to work in a variety of research areas including: • Robotics - Enable agents that safely navigate, manipulate objects, and follow instructions in simulation and in the real world (w/ real robots)., • Language & Vision - Make vision-language-action models more robust and capable. Your Next Challenge: At Ai2, you will be working with world-class AI researchers and talented software engineers. We perform team-based, ambitious research, with a mandate to strive for big breakthroughs, not just incremental progress, in an exciting and interactive workplace. All scientists have the opportunity to mentor interns (and other students)and will participate directly in Ai2's groundbreaking work. There are no restrictions on publications. What You'll Need: Qualifications: • A strong foundation (typically PhD level) in one or more of the following areas: robot manipulation, planning and motion generation, RL and imitation learning, real world robot systems, simulation environments and sim2real, vision-language-action models., • A strong publication record in AI-related areas. Example venues include ICRA, RSS, CVPR, ICCV, ECCV, NeurIPS, ICLR, etc. Contributions to research communities (e.g. workshop organization, tutorials) are a plus., • Research experience in related areas like large-scale multi-node training, training dynamics, efficiency, data curation, multimodal model debugging, post-training methods, among others. The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions. • Must be able to remain in a stationary position for long periods of time., • The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations., • The ability to observe details at close range. Ai2 is a Seattle based non-profit AI research institute founded in 2014 by the late Paul Allen. Our mission is building breakthrough AI to solve the world's biggest problems. We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond. In addition to Ai2's core mission, we also aim to contribute to humanity through our treatment of each member of the Ai2 Team. Some highlights are: • We are a learning organization - because everything Ai2 does is ground-breaking, we are learning every day. Similarly, through weekly Ai2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, Ai2 is a place where you will have opportunities to continue learning alongside your coworkers., • We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind., • We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered., • We emphasize a healthy work/life balance - we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave., • We are collaborative and transparent - we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures., • We are in Seattle - and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States. This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9. We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at ___ Benefits: • Team members and their families are covered by medical, dental, vision, basic life insurance, basic accidental death and dismemberment insurance, short-term disability, long-term disability, and an employee assistance program., • Team members are able to enroll in our voluntary life insurance program, our voluntary accidental death and dismemberment program, our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans., • Team members are able to enroll in our company's 401k plan., • Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses., • Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year., • Team members will be able to receive annual bonuses and can participate in the long-term incentive plan. Note: This job description in no way states or implies that these are the only duties to be performed by the team members(s) of this position. Team members will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship.

Job DescriptionAircall is the world’s leading integrated customer communications and intelligence platform for growing businesses. Trusted by over 20,000 companies worldwide, Aircall unifies voice and digital channels into one seamless platform, offering one-click integrations with leading CRMs and over 100 business tools. With real-time, AI-powered insights and feedback, AI agents, and automation, we help sales and support teams save time on routine tasks, uncover opportunities, and deliver exceptional customer experiences. With a global team of 600+ across nine offices, Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, Seattle, Mexico City, Aircall is transforming how businesses connect with their customers, driving smarter conversations, deeper relationships, and measurable success. How We Work at Aircall: At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast-paced, team-driven environment where curiosity, trust, and impact matter, you'll fit right in About the teamOur Data team is the backbone of Aircall’s decision-making process, driving product development and business growth with cutting-edge data products, tools, and actionable insights About the roleAs a Senior Data Scientist, you will provide invaluable insights to our product and business teams, working closely with our product and engineering leaders. You'll support impactful initiatives including pricing, packaging, multi-product strategies and self-service approaches. You will collaborate cross-functionally with Engineering, Sales, Finance, Marketing, and Customer Relations to translate data needs into powerful solutions. You'll also establish best practices in analytics and mentor team members, ensuring high standards in data governance and insight generation.Your mission @ Aircall: • Partner with product and business leaders to define the analytics roadmap and deliver key projects in customer acquisition, engagement, and retention, • Provide actionable insights and compelling narratives to influence major decisions at the C-level, • Build a culture of experimentation by designing and executing rigorous A/B tests to measure business impact, • Work closely with data engineers to continuously improve the data stack, governance practices, and analysis qualityA little more about you:, • 5+ years of hands-on technical experience in a high growth environment, • Proficiency in SQL for deriving insights, • Proficiency in Python, • Data-driven, structured and solution oriented with extensive experience in building rigorous experiments, • Excellent interpersonal skills and the ability to explain complex data clearly to stakeholders at all levels

Job DescriptionWe believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Plaid’s Data team is building data insights and models that improve how millions of users understand and grow their financial lives. We're looking for data scientists with experience applying state-of-the-art data analytics techniques to different product areas. We value not only technical know-how, but also creativity, user empathy, and teamwork. You’ll be a data scientist as a part of the Data organization, contributing to diverse, high-impact data insights and machine learning challenges. Specifically, you will focus on driving business impact, and production directions through data analysis and potentially help evaluate and improve ML solutions and systems. If you're interested in building state-of-the-art Data/ML solutions to unblock financial freedom for everyone, let's chat!Responsibilities • Applying your expertise in quantitative analysis, data mining, and data visualization to find insights for improving our API products, • Conducting large-scale A/B experiments, • Identifying useful signals that can be fed into machine learning models., • Informing and influencing product and engineering teams through your data analysis and presentations, • Making long-term data science roadmap decisions like how machine learning and data science iteration should be done at Plaid, • Championing a data-first approach toward decision-making across the entire organization.Qualifications, • 5+ years of industry experience in a product-focused Data Science role, • Deep familiarity with SQL and data visualization tools, • Experiencing conducting large-scale A/B experiments, analyzing results, and translating them into concrete recommendations, • Familiarity with the AWS stack, • Understanding of modern machine learning (ML) techniques, such as classification, clustering, optimization, deep neural network, and natural language processing, • Proven ability to tailor your solutions to business problems in a cross-functional team, • Ability to code and iterate independently in Python to conduct exploratory data analysis, • Experience building data pipelines in DBT or Airflow is a plus Our geographic zones are as follows: Zone 1 - San Francisco / New York City / Seattle Zone 2 - Los Angeles / Washington DC / Austin / Boston / Sacramento / San Diego Zone 3 - Atlanta / Portland / Chicago / Philadelphia / Denver / Miami / Dallas / Raleigh Zone 4 - All other US cities The base salary range listed for this full-time position excludes commission (if applicable), equity and benefits. The pay range shown on each job posting is the minimum and maximum target for new-hire salaries. Actual pay may be higher or lower depending on factors like skills, experience, and relevant education or training. Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at . Please review our Candidate Privacy Notice here.

Job Description Umoja Biopharma is an industry-leading biotech with locations in Seattle, WA and Louisville, CO, focused on transforming the treatment of cancer with a novel integrated immunotherapy platform. Our vision is to develop off-the-shelf therapies capable of treating any tumor, any time. We are a diverse and growing team working in brand-new facilities in downtown Seattle, Washington and Louisville, Colorado, and we are looking for innovative thinkers who are excited by groundbreaking science and technology, and passionate about squaring up to the challenges inherent to cutting-edge drug development. We are committed to our core values and principles that support our overall mission and strongly invite applications from enthusiastic individuals who share our commitment and help position Umoja to deliver on our goals. We at Umoja believe in the importance of stories; we are looking for great people to join our team to help us create more stories for ourselves, for you, and most importantly for patients and their families. Umoja Biopharma – Your Body. Your Hope. Your Cure. POSITION SUMMARY Umoja is looking for a highly experienced Clinical Scientist who can work closely with members of the Clinical Development and Operations team as the primary point of contact for all matters related to clinical trial start-up and site initiation, including leading clinical trial document writing (protocol, IB, etc.), site selection/initiation, provide critical feedback on trial design/endpoints (both clinical and translational), and overall trial execution. The candidate should demonstrate a high-level knowledge of clinical scientific and operational methodologies and retain organizational, project management, teamwork, and leadership qualities. The candidate will ideally have a background in biologics and/or cellular/genetic therapies. Experienced, independent Clinical Scientists who have worked with cross- functional program teams in the past and are looking for an exciting challenge with a novel therapeutic platform at a growing company and be a part of the next generation of cancer therapies should apply. This role will be based out of Seattle, WA. The level of the role will be determined by the candidate's experiences and qualifications. CORE ACCOUNTABILITIES Specific responsibilities include: • Successfully plan and execute early phase clinical trials from study outline/protocol through CSR completion according to internal SOPs, regulatory standards, and GCP/ICH guidelines, • Lead the clinical trial study team by fostering a team approach and ensure study deliverables and milestones are met within agreed upon timelines, • Manage and partner with selected CRO and other study vendors to ensure appropriate study conduct and accuracy of study operations and that budgets are within the agreed variance, • Key contributor to the development, review, and approval of study documents including but not limited to protocol, informed consent forms (ICF), investigator's brochure (IB), study plans, eCRFs, pharmacy and lab manuals, regulatory documents, and clinical study reports, • Involved in every aspect of trial management including site management, patient enrollment and recruitment, study start up, maintenance and close out activities, regulatory submissions, site and vendor contracts, TMF maintenance, audit preparation, inspections, site monitoring activities, training, investigator meetings, etc. in conjunction with clinical trial operational support provided either through a vendor or internal hire., • Prepare and present timely status updates and performance metrics to leadership, project teams, and main stakeholders, • Ensure quality and compliance of clinical trials with local regulatory requirements; overall data integrity; and human subject protection, • Effectively communicate and interface between numerous functional groups, investigator sites, and vendors to ensure apt communication and strong relationships, • Proactively identify, negotiate, and broker solutions to clinical study risks and issues that may arise, • Senior Manager Level: Bachelor's degree or higher in life sciences, healthcare, or nursing required with a minimum of 5-8 years of clinical research and/or pharmaceutical experience combined. Minimum of 3 years leading and accountable for planning and execution of clinical trials., • Associate Director Level: Bachelor's degree or higher in life sciences, healthcare, or nursing required with a minimum of 8+ years of clinical research and/or pharmaceutical experience combined. Minimum of 5 years leading and accountable for planning and execution of clinical trials., • Expertise in managing early phase clinical trials (phase 1-2) and working knowledge of clinical trial design, data acquisition, and reporting, • Prior experience in IND/BLA/NDA/MAA submissions is required, • Expert knowledge of FDA regulations, ICH guidelines, Good Clinical Practices (GCP) and the drug development process, • Experience managing CROs and other study vendors such as central labs, IRT, and database systems, • Experience posting and maintaining clinicaltrials.gov data, • Background in oncology drug development is strongly preferred, • Background in cell or gene therapy drug development is strongly preferred, • Excellent written and verbal communication skills, • Ability to influence and reach compromises cross functionally, • Good understanding of other cross-functional departments/disciplines and how they contribute to the drug development process, • Flexible with the ability to learn new medical/clinical therapeutic areas and/or indications quickly, • Ability to work onsite at least 2 days/week and from home in a hybrid environment., • Ability to travel as needed

Job DescriptionAbout Galvanick Galvanick protects the industrial world against cyber attacks. Our threat detection platform defends the modern world against criminals and nation-states that target Operational Technology (OT) systems and networks. This is a chance to work in a startup environment with driven individuals committed to solving cybersecurity's big problems. We are backed by Founders Fund, Village Global, MaC Venture Capital, and others. About the Role We are seeking a talented individual to join our team as a Data Scientist & Developer. You will embed within a team of cybersecurity domain experts and serve as a force multiplier for their analysis. Our product and vision is focused on securing the nation’s infrastructure and delivering value. This is a chance to apply advanced analytics and software development skills to detect cyber threats targeting critical infrastructure. This is a hybrid position where you will apply strong data science skills while being hands-on with the code and contributing to our production codebase. The position is split between data science and development, requiring someone who can both analyze complex security datasets and build analytical tools and platforms to enable our detection engineering process. If you are passionate about reducing complexity and enjoy providing solutions for customers, we would love to hear from you. What You Will Do

Job DescriptionAbout usToday’s financial system is built to favor those with money. Grid’s mission is to level that playing field by building financial products that help users better manage their financial future. The Grid app lets users access cash, build credit, spend money, optimize their taxes, and lots, lots more. Grid is a fast-growing team that’s deeply passionate about making a difference in the lives of millions. We’re solving huge problems and believe that every team member has a big role to play. Come join our growing team in our brand new Seattle office! The roleWe’re adding an Applied Scientist to our team to help us build and scale our core product lines. You'll work closely with product, engineering and business leaders to make a difference with data. With access to multiple robust datasets and clear research objectives, you'll have a significant impact on Grid's progress as a business—as well as our users' happiness and success. Projects will include fraud detection, prevention and mitigation in novel arenas, such as risk underwriting for various lending/advance programs; predictive analytics to drive our payout and repayments systems; and more. The teamWe're focused on serving our users and building a robust product and business above all else. To this end, Grid's team members experience high levels autonomy and ownership, and as a company we value curiosity, learning and growth. As an Applied Scientist, you'll have an opportunity not only to identify key leverage points for our data products, but also to set the standard for Grid's statistical inference and machine learning practice. The tech stackOur backend tech stack is based on Python, GCP, Go, protobufs, BigQuery and MySQL. We have built our platform from the ground up to optimize for clean data sources, and we have made numerous investments into data warehousing, streaming analytics infrastructure and offline data cleanliness. As a result, we think Grid is positioned for efficient and powerful applied science.What you'll do • Research & Analysis: Perform data research and analysis using Grid's proprietary dataset as well as other relevant sources, • Model Development: Develop and validate models that enable strategically relevant business objectives, such as enabling growth, mitigating fraud, controlling risk, etc., • Deployment & Iteration: Iterate on new and existing models based on feedback from team and real-world performance, • Productionization: Collaborate with data engineers, product managers to help translate your work into production-grade, high scaled data products, • Present Findings: Present your findings and communicate with members of the team with varying levels of technical depth, • Foster DS @ Grid: Help build out our Applied Science and Machine Learning as a team and practice at GridWhat we're looking for:, • Applied Science Expertise: Proven experience in Machine Learning and/or Applied Science, including a strong background in statistical inference, machine learning. This is a requirement, a bachelors or master's degree in Statistics, Mathematics, Physics, or Computer Science with a focus on machine learning is required. We are currently not accepting applicants with bachelor or master's degrees in Business Analytics, Information Systems, or Data Science., • Deep Expertise in Applied Science & Machine Learning: Proven experience in applied machine learning, including a deep understanding of statistical inference and predictive modeling. Demonstrated practical experience with deep learning techniques, particularly transformer-based models., • Research to Implementation Proficiency: A strong track record of reading, understanding, and implementing research papers in machine learning or related fields., • Robust Technical Skills: Hands-on experience with Python (with libraries like PyTorch/TensorFlow) and SQL is essential., • Autonomy and Initiative: Ability to work independently and take ownership of projects, showcasing a proactive approach to identifying key leverage points for data products., • Curiosity and Optimism: People who are constantly asking why the world around them works the way it does, and who have the will to change it., • Technical Skills: Proficiency in the modern machine learning techniques, such as Model Evaluation and Validation, Deep Learning and Time Series Analysis, Logistic Regression, Naive Bayes, Tree based Models (i.e., Random Forest)., • Self Starter: Confidence to prioritize work and delivery demonstrable results on a tight cadence.

Job DescriptionCompany Description 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. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description We are looking for a versatile, curious, and highly technical Lead Applied Scientist to shape the future of AI and data products across the Visa Acceptance Platform. You will partner with engineers, product leaders, and AI researchers to design, deploy, and scale advanced machine learning solutions across a global ecosystem. In this role, you will: • Define technical strategy for AI/ML models supporting global payments and next-generation agentic commerce experiences., • Mentor a high-performing team and establish best-in-class practices for data science, MLOps, and model governance., • Lead end‑to‑end development of large-scale data solutions—from data extraction through modeling, deployment, and monitoring., • Provide technical leadership in designing scalable, maintainable, and secure data science solutions; set standards for modeling, coding patterns, and MLOps., • Lead efforts to improve data extraction, data quality, lineage, and governance, partnering with engineering teams across the platform., • Develop strategies for wrangling, modeling, and leveraging high-volume structured and unstructured data using modern AI/ML techniques., • Guide conversations with Product, Cybersecurity, and Engineering to clarify complex business and technical requirements and ensure secure deployment., • Identify emerging patterns across massive datasets to influence platform‑wide enhancements, roadmap decisions, and AI-driven product improvements. Basic Qualifications * 10+ years of relevant work experience with a Bachelor’s Degree or at least 7 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 4 years of work experience with a PhD, OR 13+ years of relevant work experience. Preferred Qualifications * 12+ years of relevant work experience with a Bachelor’s Degree in Computer Science or Data Science or at least 7 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 4 years of work experience with a PhD, OR 13+ years of relevant work experience. • 3+ years building and deploying AI/ML models for predictive analytics or insights., • 4+ years working with large-scale data technologies such as Hadoop, Hive, Kafka, Spark, Redis, NoSQL, or RDBMS., • 2+ years designing and maintaining ETL or data pipelines., • Experience working with Big Data, distributed computing, and streaming/real-time systems., • Strong experience in metrics design, experimentation, and model evaluation. Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for this position is 180,000.00 to 288,000.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Job Description🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops. As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact. We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce. 💻 Role In order to continue this growth, it’s important that Whatnot remains a safe and trusted space to interact and transact. We’re looking for a Data Scientist with expertise in fraud and risk to detect and prevent these threats to our community. You will: 🔍Generate Insights & Shape Direction * Translate complex data into actionable recommendations for the Fraud engineering and operations teams. * Define and own the KPIs that measure the cost of fraud, strategies to prevent it, and impact to users and marketplace performance. * Analyze the effectiveness of existing methods and partner with product and machine learning engineers to develop better anti-fraud practices. 🧪Drive Experimentation & Measurement * Partner with product managers, engineers, and operations teams to design, implement, and evaluate feature rollouts to combat bad actors on the platform. * Define and own the experimentation playbook for Fraud at Whatnot. * Develop frameworks for causal inference and impact measurement of efforts that are not well-suited to A/B testing. * Ensure Whatnot’s internal KPIs treat fraudulent actors appropriately in measurement outside of fraud domains. 🛠 Build Data Products & Tools * Use our modern data stack to build dashboards, data pipelines, and self-serve tools that empower teams across Whatnot. * Partner with engineers to improve data accessibility, ensure data quality, and support instrumentation for new product and platform enhancements. 🤝Lead Cross-Functional Collaboration * Advocate for data-driven decision-making and foster a culture of measurement across the trust & risk organization. * Communicate insights clearly to both technical and non-technical audiences, influencing roadmaps and strategic decisions. * Bring data support to company-critical investigations to quantify and thwart bad actor tactics, and help generalize outputs to create longer-term protections for different fraud vectors. * Serve as a thought leader to Trust & Risk leadership, shaping how we build, launch, and iterate on fraud strategy across the platform. US Based: We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs. 👋 You People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it. As our next Data Scientist, Risk & Fraud, you bring: 🎓Experience & Expertise * 5+ years of experience in the Data field, and 3+ years of experience in Data Analytics & Science supporting anti-fraud, risk, trust & safety, or integrity problems. * Bachelor’s degree in Computer Science, Economics, Statistics, Cybersecurity, or a related field, or equivalent work experience. * Industry experience with proven ability to apply scientific methods to solve real-world problems on large scale data. 🧠Technical Skills * Advanced SQL skills and experience with modern data warehouses (Snowflake, BigQuery, Redshift) and tools like Spark or DBT. * Proficiency with Python or R for data analysis, modeling, and experimentation. * Experience designing and analyzing A/B tests and understanding causal inference techniques. * Strong data visualization skills and familiarity with BI tools for building interactive dashboards. 🗣️Collaboration & Leadership * Ability to communicate complex ideas clearly, concisely, and impactfully across diverse stakeholders. * Experience leading cross-functional projects and influencing trust & risk strategy with data. * Comfortable working in fast-paced, ambiguous environments with a high degree of ownership. 💰Compensation For Full-Time (Salary) US based applicants: $185,000/year to $240,000/year + benefits + equity. The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity. 🎁 Benefits * Flexible Time off Policy and Company-wide Holidays (including a spring and winter break) * Health Insurance options including Medical, Dental, Vision * Work From Home Support * Home office setup allowance * Monthly allowance for cell phone and internet * Care benefits * Monthly allowance for wellness * Annual allowance towards Childcare * Lifetime benefit for family planning, such as adoption or fertility expenses * Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally * Monthly allowance to dogfood the app * All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). * Parental Leave * 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 💛 EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce. Compensation Range: $185K - $240K

Job DescriptionBenefits: • 401(k), • Bonus based on performance, • Competitive salary, • Dental insurance, • Flexible schedule, • Health insurance, • Paid time off, • Parental leave, • Profit sharing This role will be responsible for providing technical and business skills and contribute to advanced solutions in the environmental, chemical, commercial, manufacturing, government, energy, financial, insurance, and/or legal sectors. This job is 100% remote. The candidate should have experience managing consulting assignments, must work effectively in multi-disciplinary teams, is expected to be proficient in the analysis and communication of information, and must be able to work cooperatively with agencies, organizations, and individuals to guide decision-making. The successful candidate is also expected to be proficient in all facets of project management. He/she must demonstrate collaboration with colleagues throughout the organization. Key Responsibilities include but are not limited to: Client Management & Communication: • Serve as the primary point of contact for clients and stakeholders, providing regular updates on project status and outcomes., • Collaborate with project teams, including environmental engineers, geologists, and technicians., • Communicate complex technical information to clients and stakeholders in a clear and concise manner.Regulatory Compliance & Reporting:, • Interact and coordinate with regulatory agencies to obtain necessary approvals, permits, and closure documentation., • Prepare and submit comprehensive reports, including site investigation reports, risk assessment reports, remedial action plans, progress reports, and closure reports., • Be current and continue to be current on environmental regulations and guidelines.Remediation Planning/Implementation:, • Develop and implement effective remediation plans based on the findings of site investigations and risk assessments., • Design and oversee the implementation of remediation strategies, which may include excavation, soil vapor extraction, groundwater treatment, in-situ bioremediation, or other appropriate methods., • Ensure compliance with all applicable regulations, guidelines, and permits during the remediation process.Site Assessments:, • Manage/conduct comprehensive site investigations to identify potential sources of contamination, evaluate risks, and develop appropriate remediation strategies., • Collect soil, groundwater, and other environmental samples and analyze them in accordance with standard protocols and regulations., • Perform data interpretation, risk assessment, andmodeling to determine the extent and nature of contamination and its potential impact on human health and the environment.Quality Control:, • Implement quality control and assurance measures to ensure accurate and reliable data collection, analysis, and reporting., • Conduct periodic audits and reviews of project activities to verify compliance with project plans and regulations., • Identify and address any deviations or discrepancies in project execution promptly.The Ideal Candidate should have:, • Current PE or PG license, • Bachelors Degree in environmental science, geology, engineering, or a related field., • 10+ years experience conducting site investigations remediation and third party evaluations, • Solid understanding of environmental regulations, guidelines, and best practices related to contaminated site cleanup., • Excellent project management skills, including the ability to prioritize tasks, meet deadlines, and manage multiple projects simultaneously., • Strong communication and interpersonal skills, with the ability to collaborate effectively with clients, regulatory agencies, and project teams., • Attention to detail, critical thinking, and problem-solving abilities., • Knowledge of environmental sampling techniques and laboratory analysis methods.Founded in 1986, HETI is a full-service, nationwide environmental services company specializing in environmental and indoor air quality site assessment, site remediation, risk characterization, occupational health and safety services, and litigation/expert witness support. Through our network of offices throughout the U.S., we serve a variety of large and small businesses. We are an Equal Opportunity Employer and offer a competitive benefit package including base salary plus bonus opportunities and a friendly, flexible work environment. Flexible work from home options available.

Job DescriptionWe believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. The Data team within Plaid’s Fraud organization builds the machine learning systems behind Plaid’s next-generation fraud detection products. Leveraging Plaid’s unique network data, the team develops end-to-end solutions to identify and prevent fraud before it happens. This includes ownership across the full ML lifecycle, from large-scale data processing and model experimentation to feature pipelines, model serving, and ongoing performance monitoring. As a Senior Machine Learning Engineer (Research Scientist) you will lead applied research to develop next-generation fraud detection models across complex data modalities, including relational graphs, sequential events, images, and video. You will design and run rigorous experiments and build evaluation methodologies that reflect real-world fraud dynamics, prototype state-of-the-art architectures such as Graph Neural Networks and Transformer-based foundation models, and partner closely with Machine Learning Engineers to translate successful research into production systems. The role also involves communicating and publishing results internally and externally, helping raise the technical bar for fraud machine learning at Plaid. Responsibilities • Build next-generation fraud detection capabilities by researching and prototyping state-of-the-art methods across graph ML, sequential modeling, and multimodal learning., • Owning a research roadmap that ships: moving from papers/prototypes to measurable product impact., • Publishing applied research and collaborating with a high-caliber team across Data, Product, and Engineering., • Working with one of the largest financial datasets to generate insights that help hundreds of millions of consumers achieve greater financial freedom.Qualifications, • PhD strongly preferred; we will consider equivalent research experience with a strong publication/innovation track record., • 3+ years of experience as a Machine Learning Engineer or Research Scientist., • Strong scientific rigor and communication., • Strong Python skills + ability to build high-quality research prototypes., • Fraud / security / abuse domain experience is a plus.

Job DescriptionAt Unify, we help organizations turn AI ambition into real-world impact. As an AI-focused management consulting firm, we partner with leading enterprises to design, build, and scale intelligent systems that transform how work gets done. From strategy through execution, our teams operate at the intersection of advanced machine learning, cloud-native architecture, and business outcomes—bringing Generative AI out of experimentation and into production. Location Requirement This is a full-time, 5-day onsite role based in Seattle, WA. Candidates must currently live in the Seattle area or be willing to go onsite for interview and be able to relocate prior to start. Remote or hybrid arrangements are not available for this position.The Role Unify is seeking an experienced Data Scientist / Applied Scientist to help design and deliver cutting-edge, production-grade AI solutions for our clients. This role is ideal for someone who thrives in complex problem spaces and enjoys translating advanced machine learning techniques into scalable, business-ready applications. This position requires a full-time, 5-day onsite presence in Seattle, enabling close collaboration with client stakeholders and cross-functional delivery teams. You will work hands-on with Large Language Models (LLMs) and modern NLP techniques, leveraging AWS services such as Amazon Bedrock to build intelligent systems that enhance customer experience and unlock new value. The work spans model development, system design, and active participation in client-facing engagements—ensuring solutions are not only technically robust, but also practical, trusted, and impactful in real-world environments. Key Responsibilities • Design, develop, and deploy advanced machine learning and deep learning models to solve complex business problems, • Build and optimize large-scale NLP and Generative AI solutions, including applications leveraging LLMs, • Develop scalable data pipelines and AI architectures to support production-grade deployments, • Implement and support Retrieval-Augmented Generation (RAG) patterns to improve accuracy, relevance, and grounding of model outputs, • Collaborate closely with consulting, engineering, and client teams to support data-driven decision-making, • Contribute to best practices across model development, deployment, and MLOpsRequirements, • Master’s degree in Computer Science, Machine Learning, or a related field, • 5+ years of experience in applied machine learning and deep learning, • Strong proficiency in Python and modern ML frameworks, • Extensive hands-on experience with Large Language Models and transformer-based architectures, • Demonstrated experience deploying ML models into production environments, • Strong experience with AWS, including Amazon Bedrock, SageMaker, Lambda, ECS, and S3, • Familiarity with MLOps practices, tooling, and model lifecycle management, • Knowledge of vector databases and semantic search, • Experience with prompt engineering and model fine-tuning, • Familiarity with containerization and microservices architectures, • Ability to clearly communicate technical concepts to non-technical stakeholdersPlease Note, • We are unable to sponsor or transfer visas for this position. You must be authorized to work in the United States for any employer without requiring sponsorship or visa transfer now or in the future., • You must currently live in the Greater Seattle area, and be willing to go onsite 5 days/week, • Please no resumes from third-party agencies or recruiters

Job DescriptionContractRemoteRole DescriptionAs a remote, hourly paid R Engineer, you will review AI-generated responses and generate high-quality R and data-analysis-focused content, evaluating the reasoning quality and step-by-step problem-solving behind each solution. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in statistical methodology or data-wrangling workflows; fact-check analytical results; write expert-level explanations and model solutions that demonstrate correct use of R; and rate and compare multiple AI responses based on correctness and reasoning quality. This contract role is with, a fast-growing AI Data Services company and subsidiary of that provides AI training data for many of the worlds largest AI companies and foundation model labs, directly helping to improve the worlds premier AI models.Your Profile • 2+ years of hands-on experience using R for data analysis, statistics, or data science work., • Strong proficiency in R programming, including data wrangling, functional programming patterns, and writing reusable functions or packages., • Solid grounding in applied statistics, including regression, inference, and model validation, with practical experience implementing these methods in R., • Experience building end-to-end analyses in R that include data cleaning, exploratory analysis, modeling, and visualization., • Familiarity with common R ecosystems such as tidyverse, data.table, and ggplot2, and the ability to choose appropriate tools for a given task., • Professional experience in a data-focused role such as data scientist, statistician, quantitative analyst, or similar., • Minimum Bachelors degree in Statistics, Mathematics, Computer Science, or a closely related quantitative field., • Significant experience using large language models (LLMs) to assist with coding, analysis design, and code review in R., • Excellent English writing skills with the ability to document analyses and explain complex statistical ideas clearly to non-experts., • Previous experience with AI data training or model evaluation is strongly preferred, and Minimum C1 English proficiency is required.Key Responsibilities, • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects., • Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance., • Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Job DescriptionWe believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Plaid’s Payment Data team builds models, services, and platforms that improve how millions of users move money through ACH. We’re looking for data scientists to apply best-in-class methodologies to develop new products, enhance existing systems, and generate insights that power data-driven decision-making. You’ll be a Data Scientist as a part of the Data org, tackling high-impact analytics and machine learning challenges that directly shape business outcomes. In this role, you’ll use data to drive strategic decisions, inform production direction, and evaluate and improve ML systems. You’ll partner closely with clients both pre- and post-sales to assess product performance, conduct retrospective analyses, and craft risk mitigation strategies that maximize impact. Day to day, you’ll deep dive into model performance, triage issues, and identify opportunities for improvement across ML risk systems. You’ll develop new features to strengthen model performance, build scalable data pipelines using tools like dbt to automate ETL processes, and design metrics, alerts, and dashboards to monitor production models. This is an opportunity to combine analytical rigor, technical depth, and client collaboration to drive measurable results.Responsibilities • Applying your expertise in quantitative analysis, data mining, and data visualization to find insights for improving our API products, • Identifying useful signals that can be fed into machine learning models, • Informing and influencing product and engineering teams through your data analysis and presentations, • Making long-term data science roadmap decisions like how machine learning and data science iteration should be done at Plaid, • Championing a data-first approach toward decision-making across the entire organization Qualifications, • 5+ years of industry experience in a product-focused Data Science role, • Experience working on ACH risk strategy or system, building Guaranteed ACH product is preferred, • Deep familiarity with SQL and data visualization tools, • Experiencing conducting large-scale A/B experiments, analyzing results, and translating them into concrete recommendations, • Familiarity with the AWS stack, • Understanding of modern machine learning techniques, such as classification, clustering, optimization, deep neural network, and natural language processing, • Proven ability to tailor your solutions to business problems in a cross-functional team, • Ability to code and iterate independently in Python to conduct exploratory data analysis, • Experience building data pipelines in DBT or Airflow is a plus Our geographic zones are as follows: Zone 1 - San Francisco / New York City / Seattle Zone 2 - Los Angeles / Washington DC / Austin / Boston / Sacramento / San Diego Zone 3 - Atlanta / Portland / Chicago / Philadelphia / Denver / Miami / Dallas / Raleigh Zone 4 - All other US cities The base salary range listed for this full-time position excludes commission (if applicable), equity and benefits. The pay range shown on each job posting is the minimum and maximum target for new-hire salaries. Actual pay may be higher or lower depending on factors like skills, experience, and relevant education or training. Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at . Please review our Candidate Privacy Notice here.

Job Description Serko is a cutting-edge tech platform in global business travel & expense technology. When you join Serko, you become part of a team of passionate travellers and technologists bringing people together, using the world’s leading business travel marketplace. We are proud to be an equal opportunity employer, and we embrace the richness of diversity, showing up authentically to create a positive impact. There's an exciting road ahead of us, where travel needs real, impactful change. With offices in New Zealand, Australia, North America, and China, we are thrilled to be expanding our global footprint, landing our new hub in Bengaluru, India. With a rapid growth plan in place for India, we’re hiring people from different backgrounds, experiences, abilities, and perspectives to help us build a world-class team and product. Requirements We are looking for a Senior Data Scientist to build and implement cutting-edge models within AI-agentic environments to drive product performance. You will work closely with Product and cross-functional teams to shape the roadmap, identify opportunities where data can unlock growth and build scalable data products that deliver real value to our customers. We are looking for someone to hit the ground running by delivering against an ambitious timeline to MVP and the architectural runway to build something that doesn't exist yet. You'll play a pivotal role in shaping how we use data to build smarter products, make better decisions, and accelerate growth. This is a hands-on, high-impact role where your models and insights will directly influence customer experience and business strategy. Candidates who have a demonstrable background in taking AI/ML data product to market will take preference above all else. What you'll do • Deliver business impact by developing and deploying world-class data science solutions across critical areas of the product and business., • Build and implement models within AI-agentic environments that drive product performance — including Recommender Systems (collaborative filtering, content-based filtering), Ranking algorithms, Reinforcement Learning and Deep Learning (heterogeneous graph transformer)., • Drive velocity of delivery by efficiently scoping, prioritising, and executing projects while maintaining a high technical bar., • Solve novel problems quickly and creatively, adapting new technologies and frameworks to emerging business needs., • Partner with Product to co-create data-informed roadmaps, ensuring feature priorities align with measurable outcomes., • Identify and tackle opportunities and risks across the business that can be addressed through data., • Communicate clearly with senior stakeholders by translating complex technical problems into concise, digestible business terms., • Mentor and lead other data scientists, analysts, and engineers, fostering a culture of collaboration, curiosity, and innovation. What you'll bring • Proven record of building and implementing models at velocity to drive tangible business outcomes., • Expertise in machine learning, applied statistics, and modern AI/ML techniques., • Strong grasp of experimentation frameworks and designing for scalability and maintainability in production., • Exceptional communication skills with a demonstrated ability to distil technical complexity for non-technical audiences., • Deep understanding of product development cycles and how data science integrates into product decisions., • Experience mentoring or leading a data science team., • Strong coding skills in Python (or similar) and familiarity with key data frameworks and pipelines. At Serko, we aim to create a place where people can come and do their best work. This means you’ll be operating in an environment with great tools and support to enable you to perform at the highest level of your abilities, producing high-quality and delivering innovative and efficient results. Our people are fully engaged, continuously improving, and encouraged to make an impact. Some of the benefits of working at Serko are: • A competitive base pay, • Medical Benefits, • Discretionary incentive plan based on individual and company performance, • Focus on development: Access to a learning & development platform and opportunity for you to own your career pathways, • Flexible work policy

Job Description Principal Machine Learning Scientist Preferred Location: Seattle, WA (Hybrid: 1-2 days/week in office). Open to remote for the right candidate About Us At RPI/Blurb, we are transforming how products are created, produced, and delivered worldwide. Every day, our cloud-based platform powers millions of personalized, on-demand items that reach customers with speed, quality, and sustainability. We partner with leading brands, publishers, and creative platforms, including Blurb.com, our consumer-facing self-publishing brand, to bring ideas to life at global scale. By combining innovative technology with a distributed manufacturing network, RPI/Blurb is reimagining the future of personalized production. The Role Reporting to the VP of Product & Design, the Principal Machine Learning Scientist will architect, research, and deploy advanced ML models to elevate creative user experiences and drive operational efficiency across our manufacturing and production platforms. In our agile, startup environment, you'll have the ability to take end-to-end ownership of projects, working directly with the executive team, senior leaders, senior technical experts and cross functional teams, while putting your expertise into action from initial prototyping through product integration and large-scale deployment. Your contributions will directly shape the technical foundation of our platform and influence RPI/Blurb's overall trajectory, offering exceptional visibility and growth opportunities. Core Responsibilities • Set and drive the technical roadmap for machine learning across Blurb/RPI's creation tools and manufacturing systems, always adapting to new challenges and needs in a dynamic environment., • Own projects from ideation through production-researching, designing, and implementing advanced ML models for creative automation, personalization, automated quality inspection, predictive maintenance, and process optimization., • Collaborate cross-functionally with product, engineering, and company leadership, influencing strategy and culture as a trusted expert and thought partner., • Innovate rapidly, prototyping and iterating on ML solutions that bridge creative tools and industrial operations, and help establish best practices for future scale., • Architect end-to-end ML pipelines, integrating AutoML, reinforcement learning, and MLOps to ensure scalable, sustainable impact., • Conduct groundbreaking research in generative AI, computer vision, and predictive analytics, publishing new methods and results when possible., • As an individual contributor, provide technical expertise, guidance, and mentorship without direct reports-empowering others through strong collaboration., • Represent Blurb/RPI in external AI forums, conferences, and partnerships, articulating our mission, ambition, and technical innovation., • Master's degree or PhD in Computer Science, Machine Learning, Data Science, Industrial Engineering, or a related field or equivalent practical experience developing and deploying ML models at scale., • Extensive experience (typically 8+ years) advancing ML in manufacturing, creative automation, supply chain, or digital publishing., • Deep understanding of:, • Convolutional Neural Networks (CNNs): Familiarity with applying CNNs for visual inspection, defect detection, and creative generation., • Deep Neural Networks (DNNs): Familiarity with DNN architectures for sensor/time-series/operational data, predictive maintenance, and anomaly detection., • Demonstrated capacity to lead the adoption of supervised/unsupervised learning, reinforcement learning, AutoML, and production-scale model deployment as an individual contributor., • Mastery of Python, TensorFlow, PyTorch, Scikit-learn, OpenCV, plus data engineering for IoT/sensor environments., • Strong history integrating ML models into complex software and industrial systems., • Recognized for published research, patents, or open-source contributions in ML/AI communities., • High-impact IC leadership and execution of ML projects, with measurable improvements in creative or manufacturing efficiency., • Influence on strategy and innovation as an expert practitioner., • External representation-presentations, conference talks, AI partnerships., • Creation Tools: Architect AI-powered design generation, layout optimization, image enhancement, and smart content suggestions., • Manufacturing Platform: Drive state-of-the-art predictive scheduling, energy forecasting, print defect detection, and data-driven production automation., • Hybrid: 1-3 days per week in Seattle office; remote/flexible otherwise., • We hold quarterly team onsite sessions (for team building and focused ideation) that span 3-4 days each. These are held at one of our locations (Rochester, Seattle, Atlanta) and in-person attendance is expected.

Job DescriptionCompany Description 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. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description We are looking for a versatile, curious, and energetic Principal Data Scientist to join our team of passionate and dedicated engineers. We are the backbone for innovative data science and artificial intelligence developments at Visa and we thrive on solving complex challenges on a global scale! As a Principal Data Scientist, you will be an integral part of a multi-functional development team inventing, designing, building, and testing products that reach a truly global customer base. You will face big challenges and question the status quo, changing the way data products are developed at Visa! Come join us and see your efforts shape the digital future of payments. The focus is on defining, executing, and delivering product and technical features at scale quickly and promoting a diverse culture of cross-functional collaboration and engineering excellence. Be an idea leader and bring industry best practices to benefit the team and the wider organization. The ability to balance demanding business capabilities with building for operational excellence while meeting regulatory, security and privacy requirements. Ability to quickly grasp and evaluate new ideas and technologies from internal and external sources. Lead/Influence multiple teams, matching them with appropriate technology and business problems while building a culture of both innovation and drive for excellence. Transform our digital offerings by leveraging AI to enhance our current product line and develop exciting new products targeting our banking, fintech and integration partners, which will enable the next wave of innovation in payments. We need a strong technology leader, who is an expert in data science, agile delivery, building purpose driven teams, and has a background in complex integration projects. Prior experience in payments, or a background in building high volume transaction and data processing systems is preferred. The successful candidate will be comfortable navigating the challenging dynamic payments space and leading global teams responsible for platform transformation efforts. This candidate will play a pivotal role in our continued embrace of AI, seeking new paths to revenue by improving delivery efficiency and pushing forward for new products. Essential Functions: • Provides technical expertise and mentors others to implement extensible, maintainable, and reusable code, defines framework, principles, coding patterns, guidelines, styles, and standard methodologies, and adheres to all security requirements for the application of artificial intelligence and data science., • 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., • Ensures adherence to data management principles, governance, process, and tools to maintain data quality across products., • 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., • Defines technical standards for the design and documents the architecture for a complex product, using existing architecture design patterns., • Oversees and establishes unit testing requirements of unit testing to confirm functional capability of code, acts as subject matter expert in testing for coding standards and security scans, strategically leads user acceptance testing in collaboration with customer across multiple domains. Basic Qualifications: • 15 or more years of experience with a Bachelor’s Degree or 12 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, or MD), PhD with 9+ years of experience, • Six (6) years of experience solving data problems using data technologies (e.g., Hadoop, Hive, Kafka, Redis, NoSQL, RDBMS)., • Four (4) years of experience designing, implementing, and maintaining ETL pipelines., • Three (3) years of experience building and pushing code into production., • Three (3) years of experience implementing and supporting real-time systems., • Expert in at least one of the following: Golang, Java, or C/C++, • Expert with web service standards and related patterns (REST, gRPC)., • Experience developing large scale, enterprise class distributed system or subsystems that require high availability, low latency, & strong data consistency computing., • Experience implementing solutions for low-latency, distributed services using open standard technologies., • Experience with Big Data and Analytics in general leveraging technologies like Hadoop, Spark, Flink and MapReduce. Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for this position is $207,500.00 to $332,500 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Job DescriptionSystImmune is a leading and well-funded clinical-stage biopharmaceutical company located in Redmond, WA and Princeton, NJ. It specializes in developing innovative cancer treatments using its established drug development platforms, focusing on bi-specific, multi-specific antibodies, and antibody-drug conjugates (ADCs). SystImmune has multiple assets in various stages of clinical trials for solid tumor and hematologic indications. Alongside ongoing clinical trials. SystImmune has a robust preclinical pipeline of potential cancer therapeutics in the discover and IND-enabling stages, representing cutting-edge biologics development. We offer an opportunity for you to learn and grow while making significant contributions to the company's success. The Sr. Associate Scientist/Scientist is responsible for downstream protein purification, process development, and protein characterization. The position will directly report to a Downstream lead and assist in downstream process development and tech transfer to a GMP manufacturing facility. In this role, the individual will assist and operate both routine and advanced analytical instruments as well as protein purification systems. Responsibilities • Support drug candidate optimization, selection, validation, and stability study throughout pre-clinical and clinical downstream purification development for antibody/protein., • Support and closely work with research, cell-line development, upstream, analytical and formulation groups., • Design and develop scalable and robust purification processes via affinity chromatography, IEX, HIC and CHT, etc. Design and develop scalable and robust viral inactivation, viral filtration and tangential flow filtration process., • Generate low endotoxin production runs for pre-clinical studies., • Perform HPLC/UPLC, CE, cIEF, octet and other biophysical techniques to support upstream, downstream, and formulation process development., • Perform and report interim analysis of accumulated data to monitor the safety of the drug or procedure., • Establish relevant process transfer documents and cGMP documents to support successful implementation of process technology in clinical/commercial manufacturing operations including Standard Operating Procedures (SOP) draft and review. Prepare reports and papers of completed projects for publication in technical journals, patents, presentation to regulatory agencies or at conferences, or use in further research activities., • Plan time to accommodate meetings and technical support with downstream and analytical team members in China-based R&D center., • Participate in timeline planning and decision-making regarding research priorities of company or department and provide information on feasibility of prospective projects., • Other duties as assigned.Qualifications, • PhD or MS in Protein Science, Chemical Engineering, Biochemistry or a related field 1+ years (PhD); 5+ years (MS); 7+ years (BS) of relevant pharmaceutical or biotech experience, • Demonstrate a good understanding of protein chromatography and filtration methods and protein analysis techniques., • Ability to discuss experimental design and fully execute experiments independently from purification setup to analytical evaluation., • Must-have experience with:, • ÄKTA Protein Purification Systems and Unicorn software, • SEC-HPLC/UPLC, • Hands-on experience in:, • Purification Process Development, • Crossflow and Tangential Flow Filtration techniques, • Column packing / unpacking, • Viral inactivation and viral filtration process development / Viral clearance study, • Low endotoxin production run SystImmune is a leading and well-funded biotech company with a bright future. We offer an opportunity for you to learn and grow while making significant contributions to the company’s success. SystImmune offers a comprehensive benefits package including: 100% paid employee premiums for medical/dental/vision, also STD, LTD, a 401(k) plan with a 50% company match of up to 3% and a vesting schedule of only 5 years, 15 PTO days per year, sick leave, plus 11 paid holidays and MORE. We offer an opportunity for you to learn and grow while making significant contributions to the company’s success. SystImmune is an Equal Opportunity Employer. We welcome diverse talent and encourage all qualified applicants to apply. Powered by JazzHR salOQUmTzB

Job DescriptionSystImmune is a leading and well-funded clinical-stage biopharmaceutical company located in Redmond, WA and Princeton, NJ. It specializes in developing innovative cancer treatments using its established drug development platforms, focusing on bi-specific, multi-specific antibodies, and antibody-drug conjugates (ADCs). SystImmune has multiple assets in various stages of clinical trials for solid tumor and hematologic indications. Alongside ongoing clinical trials. SystImmune has a robust preclinical pipeline of potential cancer therapeutics in the discover and IND-enabling stages, representing cutting-edge biologics development. We offer an opportunity for you to learn and grow while making significant contributions to the company's success. We are seeking a highly motivated Scientist / Senior Scientist to lead and support the development, optimization, and validation of immunohistochemistry (IHC) and tissue-based biomarker assays for clinical and translational research programs, including companion diagnostics (CDx). This role requires strong expertise in histology, IHC, and oncology biomarker development, along with the ability to design experiments, interpret complex data, and drive translational strategies from preclinical to clinical stages. The successful candidate will work cross-functionally with pathologists, translational scientists, clinical teams, and external partners to enable biomarker-driven clinical trials, particularly in antibody-drug conjugate (ADC) programs. The ideal candidate will have experience bridging preclinical biology, translational science, and clinical biomarker implementation, including support for global regulatory strategies (FDA/NMPA) and CDx co-development. This position is full-time onsite at our Redmond, WA location. Key Responsibilities IHC Assay Development & Validation • Develop and optimize IHC assays on FFPE tissues for biomarker and CDx applications, • Support validation studies in CLIA/CAP and/or GxP environments, • Perform antibody selection, titration, and qualification, • Contribute to biomarker strategies (e.g., PD-L1, HER2), • Support CDx development and clinical implementation, • Analyze and interpret IHC results and digital pathology data, • Collaborate on scoring algorithms and cutoff development, • Author SOPs and ensure compliance with CLIA, CAP, and GxP, • Support audits and inspections, • PhD with 2–5+ years of experience in biotech, life science, biopharma, • Strong experience with GraphPad, ROC analysis, and biomarker cutoff determination, • Strong experience in IHC assay development, optimization, and validation, • Experience supporting clinical trials, translational research, and/or CDx development, • Demonstrated experience in oncology biomarker development, • Experience working in regulated environments (CLIA/CAP, GxP), • Ability to lead projects and collaborate across multidisciplinary teams, • Expertise with GraphPad, ROC analysis, and biomarker cutoff determination. Strong data analysis, interpretation, and scientific communication skills, • Expertise in automated IHC platforms (Ventana, Leica, or equivalent), • Strong understanding of antibody biology, tumor biology, and tissue-based assays, • Familiarity with translational biomarker strategies SystImmune is a leading and well-funded biotech company with a bright future. We offer an opportunity for you to learn and grow while making significant contributions to the company’s success. SystImmune offers a comprehensive benefits package including: 100% paid employee premiums for medical/dental/vision, also STD, LTD, a 401(k) plan with a 50% company match of up to 3% and a vesting schedule of only 5 years, 15 PTO days per year, sick leave, plus 11 paid holidays and MORE. We offer an opportunity for you to learn and grow while making significant contributions to the company’s success. SystImmune is an Equal Opportunity Employer. We welcome diverse talent and encourage all qualified applicants to apply. Powered by JazzHR Bb1asctmQH

Job DescriptionWe believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. The Data team within Plaid’s Fraud organization builds the machine learning systems that power Plaid’s newest fraud detection products, leveraging the breadth of Plaid’s network data to stop fraud before it occurs. We manage the full lifecycle of these systems—from feature pipeline development and model training to deployment, serving, and monitoring—ensuring our solutions scale reliably as we grow to support hundreds of customers. As a Data Scientist on Plaid’s Fraud Data team, you will analyze customer and network traffic to understand how Protect performs across different segments and use cases. You’ll build dashboards and performance metrics that create a clear, shared view of product health for both the team and our go-to-market partners. You will run backtests on customer traffic to evaluate model and rule performance, uncover high-value opportunities, and generate insights that support sales motions and customer expansion. You’ll also design the underlying data models and schemas that enable efficient, reliable analysis and reporting. In close partnership with Product and Engineering, you will help design and evaluate experiments that shape new customer-facing features and inform the future of our fraud products. Responsibilities • Work at the intersection of product analytics, machine learning, and fraud/risk to drive meaningful product improvements., • Own the metrics, dashboards, and experimentation frameworks that inform product strategy and decision-making., • Analyze complex datasets to uncover clear, actionable insights that shape product direction., • Partner with go-to-market teams to demonstrate the technical and business value of our products to customers.Qualifications, • 3–5 years of total experience, including at least 2–3 years working deeply with product analytics, experimentation, or data-driven products., • Strong proficiency in SQL and Python., • Hands-on experience with product analytics, experimentation frameworks, or backtesting methodologies., • Skilled in designing, building, and maintaining dashboards and core product performance metrics., • Capable of designing and interpreting backtests or offline evaluations for ML and rules-based systems., • Excellent communicator with strong stakeholder-management skills across diverse teams., • Background in fraud or risk domains — Nice to have., • Familiarity with data-insights products and a solid understanding of model-performance metrics — Nice to have. Our geographic zones are as follows: Zone 1 - San Francisco / New York City / Seattle Zone 2 - Los Angeles / Washington DC / Austin / Boston / Sacramento / San Diego Zone 3 - Atlanta / Portland / Chicago / Philadelphia / Denver / Miami / Dallas / Raleigh Zone 4 - All other US cities The base salary range listed for this full-time position excludes commission (if applicable), equity and benefits. The pay range shown on each job posting is the minimum and maximum target for new-hire salaries. Actual pay may be higher or lower depending on factors like skills, experience, and relevant education or training. Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at . Please review our Candidate Privacy Notice here.

Job Description Role Overview Leading AI lab to engage independentData Science Expertsfor diverse research and development initiatives. These contractors will support data‑driven model improvement, performance evaluation, and applied experimentation. Key Responsibilities * Analyze large datasets to extract insights that inform model design and refinement. * Develop and apply statistical models, machine learning techniques, and evaluation frameworks. * Conduct performance assessments and data quality reviews on AI model outputs. * Build reusable tools for data processing, visualization, and reporting. * Partner with research teams to test hypotheses and scale experimental workflows. Ideal Qualifications * 3+ years of experience in data science, machine learning, or a related analytical field. * Proficiency in Python and key data science libraries (e.g., pandas, NumPy, scikit-learn). * Familiarity with large-scale data environments and version-controlled workflows. * Strong command of statistical analysis, experimental design, and model validation. * Clear written communication and comfort collaborating across technical teams. More About the Opportunity * Expected commitment: 10+ hours/week. * Exposure to high-impact AI research and applied experimentation. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. Contract and Payment Terms • You will be engaged as an independent contractor., • This is a fully remote role that can be completed on your own schedule., • Projects can be extended, shortened, or concluded early depending on needs and performance.

Job Description Engagement Type: Independent Contractor Work Mode: Fully Remote Hours: 3040 hours/week or Full-Time (Flexible) About the Role We are partnering with a leading AI research lab to hire a highly skilled Data Scientist with a Kaggle Grandmaster profile. In this role, you will transform complex datasets into actionable insights, high-performing models, and scalable analytical workflows. You will collaborate closely with researchers and engineers to design rigorous experiments, build advanced statistical and machine learning models, and develop data-driven frameworks that support product and research decisions. Key Responsibilities * Analyze large, complex datasets to uncover patterns and generate actionable insights * Build predictive models and ML pipelines across: * Tabular data * Time-series data * NLP * Multimodal datasets * Design and implement validation strategies, experimental frameworks, and analytical methodologies * Develop automated data workflows, feature pipelines, and reproducible research environments * Conduct exploratory data analysis (EDA), hypothesis testing, and model-driven investigations * Translate analytical results into clear recommendations for engineering, product, and leadership teams * Collaborate with ML engineers to productionize models and ensure reliable data workflows at scale * Present findings via dashboards, structured reports, and documentation Required Qualifications * Kaggle Competitions Grandmaster or comparable achievement (top-tier rankings, multiple medals, or exceptional competition performance) * 35+ years of experience in data science or applied analytics * Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.) * Experience building ML models end-to-end (feature engineering, training, evaluation, deployment) * Strong understanding of statistical methods, experiment design, and causal/quasi-experimental analysis * Familiarity with modern data stacks (SQL, distributed datasets, dashboards, experiment tracking tools) * Excellent communication skills and ability to present analytical insights clearly Nice to Have * Contributions across multiple Kaggle tracks (Notebooks, Datasets, Discussions, Code) * Experience in AI labs, fintech, product analytics, or ML-driven organizations * Knowledge of LLMs, embeddings, and modern ML techniques for text, image, and multimodal data * Experience with big data ecosystems (Spark, Ray, Snowflake, BigQuery, etc.) * Familiarity with Bayesian methods or probabilistic programming frameworks Why Join * Work on cutting-edge AI research workflows * Collaborate with world-class data scientists and ML engineers * Solve high-impact, real-world data science challenges * Experiment with advanced modeling strategies and competition-grade validation techniques * Flexible engagement options ideal for Kaggle-level problem solvers

Job DescriptionSystImmune is a leading and well-funded clinical-stage biopharmaceutical company located in Redmond, WA and Princeton, NJ. It specializes in developing innovative cancer treatments using its established drug development platforms, focusing on bi-specific, multi-specific antibodies, and antibody-drug conjugates (ADCs). SystImmune has multiple assets in various stages of clinical trials for solid tumor and hematologic indications. Alongside ongoing clinical trials. SystImmune has a robust preclinical pipeline of potential cancer therapeutics in the discover and IND-enabling stages, representing cutting-edge biologics development. We offer an opportunity for you to learn and grow while making significant contributions to the company's success. We are seeking a Scientist or Senior Scientist to lead and support immunohistochemistry (IHC) assay development for companion diagnostic (CDx) kits supporting oncology drug development. This role is responsible for end-to-end IHC assay development, including antibody selection, assay optimization, analytical validation, and clinical trial implementation, with a clear development path from RUO/LDT to IVD CDx commercialization. The ideal candidate has strong expertise in pathology, IHC assay development, and CDx regulatory expectations, and can work effectively across R&D, clinical, regulatory, QA, and external CROs and central laboratories. Key Responsibilities IHC Assay & CDx Development • Lead development of IHC-based CDx assays, from biomarker discovery through assay optimization and validation., • Select and evaluate primary antibodies, detection systems, and staining platforms (e.g., Ventana, Dako, Leica)., • Optimize assay parameters, including epitope retrieval, antibody dilution, detection chemistry, and staining conditions., • Establish scoring algorithms, cut-off strategies, and interpretation guidelines in collaboration with pathologists., • Design and oversee analytical performance studies, including:, • Sensitivity and specificity, • Precision and reproducibility (intra-run, inter-run, inter-site), • Accuracy and robustness, • Linearity and limit of detection, where applicable, • Support implementation of IHC assays in clinical trials, including:, • Central laboratory qualification and oversight, • Pathologist training and alignment, • Slide logistics, staining consistency, and scoring harmonization, • Collaborate with clinical teams on sample strategy, feasibility studies, and biomarker cut-off justification., • Regulatory & Quality Collaboration, • 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.Cross-Functional & External Collaboration, • Serve as a technical subject-matter expert, interacting with:, • CROs, central laboratories, and IVD partners, • Antibody vendors and staining platform providers, • Provide scientific input to project teams, governance meetings, and external collaborations. Education • PhD in Pathology, Molecular Biology, Immunology, Oncology, or a related field, • 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, • 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, • Prior experience with late-stage or FDA-approved CDx programs, • Experience developing and justifying biomarker cut-off strategies, • Familiarity with NSCLC, GI cancers, or other solid tumors, • Opportunity to shape next-generation CDx programs linked to innovative oncology therapeutics, • High-visibility role with direct impact on patient selection and drug approval While most offers typically fall within the low to mid-point of the range, we may extend an offer toward the higher end for exceptional candidates whose background and expertise exceeds the requirements of the role. SystImmune is a leading and well-funded biotech company with a bright future. We offer an opportunity for you to learn and grow while making significant contributions to the company’s success. SystImmune offers a comprehensive benefits package including: 100% paid employee premiums for medical/dental/vision, also STD, LTD, a 401(k) plan with a 50% company match of up to 3% and a vesting schedule of only 5 years, 15 PTO days per year, sick leave, plus 11 paid holidays and MORE. We offer an opportunity for you to learn and grow while making significant contributions to the company’s success. SystImmune is an Equal Opportunity Employer. We welcome diverse talent and encourage all qualified applicants to apply. Powered by JazzHR C0xrGgGed0

Job DescriptionSystImmune is a leading and well-funded clinical-stage biopharmaceutical company located in Redmond, WA and Princeton, NJ. It specializes in developing innovative cancer treatments using its established drug development platforms, focusing on bi-specific, multi-specific antibodies, and antibody-drug conjugates (ADCs). SystImmune has multiple assets in various stages of clinical trials for solid tumor and hematologic indications. Alongside ongoing clinical trials. SystImmune has a robust preclinical pipeline of potential cancer therapeutics in the discover and IND-enabling stages, representing cutting-edge biologics development. We offer an opportunity for you to learn and grow while making significant contributions to the company's success. SystImmune is seeking a highly skilled Senior or Principal Scientist with deep expertise in AI/ML and protein or antibody drug discovery. This role will drive the design and implementation of advanced machine learning models and data infrastructure to accelerate therapeutic discovery across our biologics pipeline. The ideal candidate combines strong technical fluency in machine learning, structural biology, and computational chemistry with a practical understanding of therapeutic design. You will lead efforts that directly inform candidate selection, antibody optimization, and molecular design through scalable, AI-driven workflows. Responsibilities • Machine Learning Model Development, • Design and fine-tune deep learning and LLM-based models (e.g., LLaMA 3.3, DiffDock, ProteinMPNN) for sequence–structure–activity prediction and optimization., • Integrate antibody and protein-specific biological knowledge into model architectures and training strategies., • Antibody and Protein Therapeutic Design, • Apply ML to support antibody humanization, CDR optimization, stability prediction, developability filtering, and manufacturability assessment., • Collaborate with discovery teams to deploy AI-driven workflows across antibody, multi-specific, and cyclic peptide programs., • Data Integration & Pipeline Ownership, • Build robust pipelines for aggregating and structuring internal R&D data (sequences, 3D structures, binding data, developability attributes) for ML modeling., • Develop ETL systems and embedding workflows using LangChain, Milvus, or MariaDB Vector DB to support RAG-based knowledge retrieval and protein annotation., • Scientific and Cross-Functional Leadership, • Serve as the AI/ML technical lead on discovery programs, interfacing with computational biology, protein engineering, immunology, and bioinformatics teams., • Mentor junior team members, guide experimental design informed by ML models, and ensure reproducibility and traceability for downstream applications., • Computing & Productionization, • Scale model training and inference across GPU/HPC environments using frameworks like Dask, Ray, MPI, or AWS., • Ph.D. in Computational Biology, Computer Science, Bioinformatics, Structural Biology, or a related field, • 5+ years of experience in AI/ML applied to protein or antibody drug discovery in an industry or translational research setting, • Proven track record of developing and applying ML models for antibody/protein optimization, structure-function modeling, or drug design, • Proficient in Python and deep learning frameworks such as PyTorch or TensorFlow, • Experience with LLMs, GNNs, and relevant tools for structure and sequence analysis (e.g., AlphaFold, Rosetta, DiffDock), • Strong understanding of antibody engineering principles, therapeutic design challenges, and developability constraints, • Experience building or leading AI/ML workflows embedded in therapeutic discovery pipelines, • Familiarity with AI-guided antibody design, cyclic peptides, or novel protein modalities, • Prior exposure to IND or regulatory-facing AI/data packages, • This is not a general AI/ML engineering role. Candidates without prior experience applying machine learning to therapeutic discovery, protein modeling, or antibody design will not be considered. SystImmune is a leading and well-funded biotech company with a bright future. We offer an opportunity for you to learn and grow while making significant contributions to the company’s success. SystImmune offers a comprehensive benefits package including: 100% paid employee premiums for medical/dental/vision, also STD, LTD, a 401(k) plan with a 50% company match of up to 3% and a vesting schedule of only 5 years, 15 PTO days per year, sick leave, plus 11 paid holidays and MORE. We offer an opportunity for you to learn and grow while making significant contributions to the company’s success. SystImmune is an Equal Opportunity Employer. We welcome diverse talent and encourage all qualified applicants to apply. Powered by JazzHR RxjBuFQwfr

Job DescriptionWe believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. The Data Foundation & AI team builds advanced ML/AI models and applications that enable product teams to deliver intelligence at scale. We design infrastructure and abstractions that make AI development faster, more reliable, and more impactful. From embeddings and representation learning to applied AI systems, our work provides the building blocks for the next generation of financial services on Plaid. You’ll be a Senior Data Scientist on the Data Foundation & AI team at Plaid. In this role, you will define and operationalize quality measurement across our enrichment and AI systems, ensuring our products deliver reliable, high-impact outcomes for customers. You’ll own and evolve evaluation frameworks, investigate customer-facing quality issues, and build automation to accelerate iteration and improvement cycles. Partnering closely with product and engineering, you’ll use data-driven insights to inform roadmap decisions and raise the bar for quality across our AI-powered experiences.Responsibilities • Defining quality metrics that shape product direction, • Turning ambiguous customer complaints into structured investigations, • Building evaluation systems that scale, • Measuring AI system effectiveness in a principled way, • Automating workflows using modern AI tools, • Influencing roadmap decisions through dataQualifications, • 5+ years of experience in data science or analytics roles, • Experience defining evaluation and metrics frameworks, • Strong SQL and Python skills, • Experience investigating ambiguous problems end-to-end, • Ability to operate independently and influence stakeholders, • Clear communication of trade-offs and insights, • Experience evaluating AI or ML systems is a plus, • Ability to thrive in a collaborative environment, working with both technical and non-technical partners to drive measurable outcomesThe target base salary for this position ranges from $190,800/year to $286,800/year [in Zone 1]. The target base salary will vary based on the job's location. Our geographic zone 1 is as follows: Zone 1 - San Francisco / New York City / Seattle The base salary range listed for this full-time position excludes commission (if applicable), equity and benefits. The pay range shown on each job posting is the minimum and maximum target for new-hire salaries. Actual pay may be higher or lower depending on factors like skills, experience, and relevant education or training.Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at . Please review our Candidate Privacy Notice here.

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities. Our Research teams work with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. As a Staff Machine Learning Research Scientist on the LLM Evals team, you will lead the development of novel evaluation methodologies, metrics, and benchmarks to measure the capabilities and limitations of frontier LLMs. You will help define what "good" looks like in generative AI, driving research that informs both our internal roadmap and the broader research community. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs. • Drive research on the effectiveness and limitations of existing LLM evaluation techniques., • Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness., • Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects., • Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols., • Implement scalable and reproducible evaluation pipelines using modern ML frameworks., • Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives., • Mentor and guide research scientists and engineers, providing technical leadership across cross-functional projects., • Stay deeply engaged with the ML research community, tracking emerging work and contributing to the advancement of LLM evaluation science., • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results., • 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development, • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience tech leading a team of research scientists and research engineers, • Excellent written and verbal communication skills, • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. We are looking for Data Scientists to join our Monetization Engineering organization. You will take end to end ownership of designing, researching, building, and delivering data products as well as collaborate with XFNs to formulate, experiment, and evolve Pinterest's strategy in the Ads space. What you'll do: • Deep strategic analysisto answer core questions such as: How do we assess the trade-off between metrics change? How should we evaluate overall impact from changes in one component of the ads ecosystem?, • Opportunity sizing and analysis. Should Pinterest adjust programmatic ad load based on ? Write clear, actionable analyses that help teams identify areas of improvement and investment., • Modeling: Build segmentation models to assess supply to inform pricing strategy., • Improve decision velocity and quality using data scientist tool kit: experimentation, causal inference techniques, etc. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc., • Creating and tracking success metrics. Identify the right measures of success for engineering teams and help them track those metrics. Break down high-level metrics into actionable segments. This work may span from collecting entirely new datasets to building dashboards to track components of a metric (e.g., monitoring conversion data for missing values, implausible values, duplicated data, etc. by advertiser over time)., • Leadership: Lead and mentor the scope of work for data scientists in the same area, demonstrating high-quality output of both yourself and others for whom you are responsible. Provide continuous and candid feedback, recognizing individual strengths and contributions and flagging opportunities to improve performance. What we're looking for: • Bachelor's/Master's degree in a relevant field such as Data Science, or equivalent experience, • 5+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data., • Strong fundamentals in statistics, experimentation., • Domain knowledge in ecosystem, ads, or real-time-bidding., • Proven ability to apply scientific methods to solve real-world problems on web-scale data., • Proficiency in SQL/Hive/Python. Relocation Statement: This position is not eligible for relocation assistance. Visit our ___ page to learn more about our working model. #LI-HYBRID #LI-JT6 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$164,428—$287,749 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

Scale AI accelerates the development of AI systems by providing the data, infrastructure, and tooling that power the most advanced models in the world. Our teams operate at the intersection of cutting-edge research, large-scale engineering, and real-world deployment, partnering with leading frontier labs, enterprises, and government agencies to push Generative AI into new capabilities and applications. As AI rapidly evolves from static models to dynamic, agentic systems, Scale is building the foundational research, evaluation methodologies, and agent/RL infrastructure that will define this next era. You'll join a high-impact research organization driving advances in large-language models, post-training, evaluation, and agentic/RL environments, helping shape how next-generation AI is built, measured, and deployed. As a Research Scientist Manager, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You'll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery. • Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments)., • Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution., • Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes., • Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally., • Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent., • Stay deeply connected to the research community, understanding major trends, and helping set them., • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results., • 5+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains., • A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.)., • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience leading or managing research teams. You're excited to mentor, coach and develop talent., • Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$273,000—$393,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Nintendo Technology Development The worldwide pioneer in the creation of interactive entertainment, Nintendo Co., Ltd., of Kyoto, Japan, manufactures and markets hardware and software for its Nintendo Switchsystem and the Nintendo 3DSfamily of portable systems. Since 1983, when it launched the Nintendo Entertainment System, Nintendo has sold more than 4.7 billion video games and more than 740 million hardware units globally, including Nintendo Switch and the Nintendo 3DS family of systems, as well as the Game Boy, Game Boy Advance, Nintendo DSfamily of systems, Super NES, Nintendo 64, Nintendo GameCube, Wiiand Wii U systems. It has also created industry icons that have become well-known, household names, such as Mario, Donkey Kong, Metroid, Zelda and Pokemon.A wholly owned subsidiary, Nintendo Technology Development, based in Redmond, Washington, creates future hardware/software technology and researches North American-based technologies. Nintendo is an equal opportunity employer. We offer a welcoming and inclusive environment in service to one another, our products, the diverse consumers we represent, and the communities we call home. We do all of this with kindness, empathy and respect for each other. DESCRIPTION OF DUTIES • Train, evaluate, and optimize neural networks, • Write scripts to facilitate neural network model development and use, • Procure and clean data necessary for training and evaluating models, • Effectively communicate with other teams, especially as it relates to domain-specific knowledge, model quality, and model performance, • Document work according to defined processes SUMMARY OF REQUIREMENTS:, • 3+ years of professional experience as a data scientist, • 3+ years of professional experience working with deep learning libraries (PyTorch and/or TensorFlow), • Proficient in Python, • Possess strong debugging and troubleshooting skills, • Familiar with Git workflow, • Experience with C, C++, or C# is a plus, • BS in CS/Applied Mathematics/Statistics/DS/ML or related field This position is onsite in Redmond, WA, and not open to remote status at this time. This contract position includes the base pay range listed below and is eligible for benefits through the employing agency. Agency benefits include eligibility for medical insurance, employee assistance program, and paid sick leave. All benefits are subject to elections, eligibility requirements, plan and program terms. Benefits offerings will be confirmed at the time of offer by the employing agency, and may differ depending on the employing agency partner. Pay range:$56.44—$101.59 USD

Job Locations US-WA-Seattle ID 2026-19113 Job Function Research & Development Bruker is one of the world's leading analytical instrumentation companies enabling scientist to make breakthrough discoveries and develop new application that improve the quality of human life. Our high-performance products and high-value life science and diagnostic solutions are trusted by leading businesses, institutes, and scientists worldwide. Today, more than 8,500 employees at over 90 locations are working on this permanent challenge to make the world a better place. We are seeking an Optical Systems Engineer to join our Research and Development group. In this lead role you will work on the development of new genomic tools and instrumentation. This position is focused on next generation platforms and the improvement of the spatial molecular imager (CosMx). This platform is capable of spatially profiling expression of both 20K+ genes and 70+ proteins at single cell and sub-cellular resolution in a tissue sample; the rates of data generation and imaging are critical and high. The work is highly interdisciplinary will involve working closely with biologists, scientists, software engineers, and manufacturing. The applicant should thrive on working with their hands and tinkering. The position will involve development of optical instrumentation, full cycle development from simulation and modeling to prototyping and automation to image analysis and performance reports Essential Responsibilities: Design, build, and troubleshoot early-stage prototypes consisting of custom and OTS parts. Develop and improve alignment procedures on Alpha and Beta instruments. Transfer to manufacturing. Support in diagnosis of manufacturing and field issues from time to time. • Troubleshoot early-stage issues: design errors, misalignment, contamination, cables issues, unexpected behavior, vibration, etc. Support scientists as they generate data on prototypes and address issues as arise., • Collect performance data to guide future iterations, exposure times, background levels, signal-to-noise ratio., • PhD. or M.S. with + 2-4 years industry experience (or equivalent experience considered). Degree in optical, mechanical, bioengineering, physics or related field, • Experience with advanced fluorescent microscopy, design of optical systems, and geometric and wave optics., • Experience with lasers, LEDs, CMOS cameras, filters, power meters, lenses, fiber optics, XY & Z stages, and filter wheels. Assembly and cleaning of optical components., • Experience with optics modeling software (for example Zemax), • Proficiency assembling and disassembling complex optical assemblies., • Experience with CAD (for example Solidworks), • Experience designing mechanical components for optic assemblies, • Proficiency with image analysis programs, machine learning and/or programming skills., • Understanding point spread functions, various aberrations, and measurement, • Programming experience in C/C++/C# (C# preferred) and/or Python., • Experience imaging tissue, especially FFPE (formalin fixed paraffin embedded). Bruker is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. Certain positions at Bruker require compliance with export control laws and as a result, all interviewed candidates for all positions will be screened pre-interview to determine their eligibility in light of export control restrictions

Application close date: Applications will be accepted on an ongoing basis until the requisition is closed. At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We're working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight! This role is part of Blue Origin corporate functions, providing centralized support across Blue Origin business unit teams, functions, and locations. Blue Origin is assembling the team that will enable humanity's future in space. As a Sr. Data Scientist to lead HR People Analytics initiatives within our Human Resources technology team, you will serve as the subject matter expert, focusing on delivery of high-impact solutions that enhance decision-making processes and operational efficiency. Key Responsibilities: • Partner with Human Resources and Enterprise Technology leadership to identify and prioritize data analytics opportunities., • Drive the implementation of time-bound data solutions aligned with project goals and stakeholder requirements., • Apply expertise in data science, natural language processing, and Generative AI to deliver tangible solutions within our Technical Human Resources environment., • Develop and deploy sophisticated data science models and algorithms to address specific business challenges., • Break down complex scientific projects into manageable hypotheses and deliverable solutions., • Collaborate across teams to ensure relevance and impact of your work., • Provide expert guidance on Generative AI implementation best practices. Required Qualifications: • 10+ years of proven experience in data science, computer science and/or related technical field., • Programming proficiency in Python, C/C++, or other applicable languages, • 8+ years of experience in a data science or data analytics role post-master's degree., • At least 7 years of direct experience developing and delivering data analytics solutions, • Demonstrated expertise in Generative AI/Natural Language Processing, • Technical master's degree or equivalent experience, • Strong business acumen and technical vision, • Experience working in a consulting model, delivering solutions for clients/internal teams, • Ability to build trust and maintain positive professional relationships, • Strong experimental design and analytical modeling capabilities, • Ability to collaborate across multiple teams and locations Preferred Qualifications: • Experience with end-to-end Generative AI solution development, • Demonstrated ability to work effectively with ambiguity and deliver results in complex environments Other site ranges may differ Culture Statement Don't meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Export Control Regulations Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S.as a refugee or granted asylum. Background Check * Required for all positions: Blue's Standard Background Check * Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation * Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing (CDL drivers only), vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training. * Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical Benefits * Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program. * Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays. * Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company's intent to reward individual contributions and enable them to share in the company's results, or other factors at the company's sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details. Equal Employment Opportunity Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. For more information on "Know Your Rights," please see ___. Affirmative Action and Disability Accommodation Applicants wishing to receive information on Blue Origin's Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at___. Please note this is a publicly managed inbox. Please do not include any personal medical information in your request. California Applicant Privacy Notice If you are a California resident, please reference the CA Applicant Privacy Notice ___.

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