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The Senior Applied Scientist in Natural Language Processing (NLP) within the Customer Engagement Tech, Self-Service and Automation team will work on the research, design, and implementation of solutions to key challenges in developing, evaluating, and deploying systems based on large pretrained language models. These models will be integrated into conversational AI systems that can understand and communicate with customers in a natural and contextually appropriate manner. This role involves model development in areas such as multi-turn dialogue management, knowledge grounding, and open-ended generation, as well as the assessment of dialogue quality and style of the conversational model. The position requires working with a cross-functional team, including scientists, engineers, and product managers, to develop scalable and maintainable AI solutions for both structured and unstructured data. The ideal candidate has strong technical skills in Machine Learning (ML), NLP, and Generative AI (GenAI), excellent written documentation skills, and experience with big data technologies. Success in this role requires combining deep business knowledge with hands-on technical skills to solve customer problems and address complex technical challenges. Key job responsibilities • Lead the research and development of LLM-based chatbots and conversational AI systems for customer service applications., • Design and implement state-of-the-art NLP and ML models for tasks such as language understanding and dialogue quality assessment., • Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate LLM-based solutions into Amazon's customer service platforms., • Develop and implement strategies for data collection, annotation, and model training to ensure high-quality and robust performance of the chatbots., • Conduct experiments and evaluations to measure the performance of the developed models and systems, and identify areas for improvement., • Stay up-to-date with the latest advancements in NLP, LLMs, and conversational AI, and explore opportunities to incorporate new techniques and technologies into Amazon's customer service solutions., • Collaborate with internal and external research communities, participate in conferences and publications, and contribute to the advancement of the field. A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage, 2. Maternity and Parental Leave Options, 3. Paid Time Off (PTO) • 3+ years of building machine learning models for business application experience, • PhD, or Master's degree and 6+ years of applied research experience, • Experience programming in Java, C++, Python or related language, • Experience with neural deep learning methods and machine learning, • Hands-on experience developing and deploying GenAI applications, such as language models, text classification., • Strong understanding of GenAI or NLP fundamentals., • Proficiency in designing and implementing large-scale data pipelines, and cloud-based data infrastructure., • Proven track record of tackling highly ambiguous, complex data challenges and delivering impactful solutions. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ___ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ___. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Are you a passionate scientist in the computer vision area who is aspired to apply your skills to bring value to millions of customers? Here at Ring, we have a unique opportunity to innovate and see how the results of our work improve the lives of millions of people and make neighborhoods safer. You will be part of a team committed to pushing the frontier of computer vision and machine learning technology to deliver the best experience for our neighbors. This is a great opportunity for you to innovate in this space by developing highly optimized algorithms that will work on scale. This position requires experience with developing Multi-modal LLMs and Vision Language Models. You will collaborate with different Amazon teams to make informed decisions on the best practices in machine learning to build highly-optimized integrated hardware and software platforms. Key job responsibilities • Participate in the design, development, evaluation, deployment and updating of data-driven models for computer vision applications., • Research and implement the state-of-the-art computer vision and Vision Language models algorithms., • Collaborate with product managers and engineering teams to design and implement computer vision and machine learning based features for Ring devices, • Influence system design and product vision by making informed decisions on the selection of technology, data sources, algorithms, and sensors., • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience, • Experience in building models for business application, • Experience programming in Java, C++, Python or related language, • Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms, • Proven track record of innovation in creating novel algorithms and advancing the state-of-the-art, • Experienced in prototyping, designing, implementing and deploying computer vision applications and tools, • Experience in Vision Language Models and LLMs, • Effective verbal and written communication skills with non-technical and technical audiences., • Exhibits excellent business judgment; balances business, product, and technology very well. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ___ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ___. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Job Description Description: * The primary focus of this Associate Scientist will be to support downstream process development and characterization of early and late-stage viral vectors (lentiviral vectors and/or adeno-associated viruses). * This position will be providing technical subject matter expertise with internal and/or external development and manufacturing collaborators for activities including tech transfer, process characterization, and pre-clinical or clinical process lifecycle management. * Design, execute, and troubleshoot downstream development experiments supporting next-generation lentiviral vector production * Identify, onboard, and develop novel downstream technologies in collaboration with internal and external partners * Provide experimental design and executional support to team members * Support cross-functional development efforts e.g. downstream process development, high-throughput process development * Perform hands-on experimental work in the early-phase development and optimization of primarily downstream (clarification, chromatography, tangential and normal flow filtration) unit operations for viral vector production * Work independently and within teams to design, execute, and analyze experiments * Maintain accurate and detailed laboratory notebook and documentation * Summarize and present data in group meetings and contribute to group discussions and team strategy * Author technical reports and study memos * Position Handles Hazardous Materials Qualifications: * B.S. with 2+ years of experience or M.S. with 0-2 years of hands-on downstream experience * Experience with Akta Avant chromatography systems and Unicorn software * Experience with automated and semi-automated filtration systems (Pendotech, Repligen KR2i, Ambr Crossflow, etc) * Hands-on process development experience * Independently motivated with ability to multi-task, problem-solve, and coordinate activities within a team * Ability to design experiments with design of experiment (DOE) approaches, perform experiments, and interpret the results using statistical software (ex. JMP) * Experience with single-use technologies * Degree in biological or chemical engineering, biochemistry, or bio-related field preferred * Experience in the development of viral vectors (e.g. adeno-, retro-, lenti-), including successful transfer for GMP manufacturing preferred Benefits: Healthcare Insurance: Synectics offers eligible employees and their dependents healthcare coverage through BlueCross BlueShield of Illinois. Eligibility begins on the 1st day of the calendar month following 60 days of continuous full time employment with Synectics. Premiums are subsidized by Synectics. Dental Insurance: Synectics offers eligible employees and their dependents a dental plan through MetLife. Eligibility begins on the 1st day of the calendar month following 60 days of continuous full time employment with Synectics. Vision Insurance: Synectics offers eligible employees vision insurance through VSP. Eligibility begins on the 1st day of the calendar month following 60 days of continuous full time employment with Synectics.401(k) Plan: The Synectics Inc. Investment Savings Retirement Plan. Synectics offers all employees who are 21 years of age or older the opportunity to invest in the 401(k) Plan on the first enrollment date that is at least 30 days after employment begins. Enrollment dates are each January 1st, April 1st, July 1st, and October 1st. Technical Certification Bonus: Synectics is pleased to award its employees a bonus of up to $500 for an approved professional certification. In determining the bonus amount, Synectics will consider the cost of the test(s) for any certification relating to your current position, achieved during your employment with us. Only one Certification Bonus per calendar year may be awarded per employee. Only current, active employees will be eligible to receive this bonus. It will be awarded 90 days after the Synectics office has received documentation confirming the successful completion of the certification. Synectics is an equal opportunity employer.

Job Description Immigration / Work Authorization Notice: At this time, iSpot does not provide visa sponsorship or immigration support for this role. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship. iSpot competes for the best talent. Our compensation packages consist of salary and equity in one of Seattle's hottest start-ups, as well as other standard benefits. Most importantly, we provide a really interesting working experience, and the chance to contribute to the success of something great. About iSpot: At iSpot, we empower advertisers to measure the true impact of their TV and streaming campaigns—from concept through airing to conversion. Our fast, accurate, and actionable measurement and attribution solutions enable advertisers to evaluate creative effectiveness, optimize media plans, and attribute results across platforms, all while benchmarking against competitors and historical data. With real-time performance insights seamlessly integrated across linear and streaming TV, iSpot equips advertisers to make swift, confident decisions that drive impactful business results. About the Team: Our Client Data Science team is dedicated to delivering invaluable insights and reports to our clients. We thrive on innovation, employing cutting-edge techniques that empower our clients to advance their businesses. Comprising Analysts, Data Scientists, and Engineers, our team brings a deep understanding of the media landscape, advanced data science techniques, and strong coding skills, all fueled by a passion for growth. About the Role: We are seeking a passionate Data Scientist to join our dynamic Client Data Science team. In this role, you will design and develop custom reports tailored to our iSpot clients, providing them with the insights they need to succeed. We're looking for someone who shares our obsession with data accuracy and possesses an insatiable curiosity for learning and tackling challenging goals in a fast-paced environment. Join us in this collaborative environment, where your contributions will help drive innovation and push the boundaries of the media industry. We can't wait to see how you'll make an impact! As a key member of the Client Data Science team, you will be responsible for a variety of critical tasks, including: • Collaborating on complex problems, both independently and as part of a team, while writing and optimizing R, Python, or SQL scripts for effective data processing., • Adapting existing tools and methods to meet evolving needs, balancing workloads across various projects, and leveraging solid machine learning and statistical skills to inform data-driven decisions., • Collecting, aggregating, and manipulating data from multiple sources, applying analytical techniques to derive insights, and creating clear visualizations or reports., • Engaging with internal and external teams to clarify requirements, address challenges, and develop tailored solutions, while documenting project status and updates in tools like JIRA., • Communicating effectively with diverse audiences, translating complex findings into accessible formats through written reports and presentations, and actively participating in team discussions to support collaboration and problem-solving. Your expected work day will consist of: • 5% People Mentorship, • 25% Project Leadership, • 5% Strategy, Planning and Prioritization, • 5% Internal or Client Collaboration, • Experience: 3+ years of experience in Data Science, or comparable field, • Education: Bachelor's degree in a quantitative or social science field, Master's preferred, • Coding Experience: 3+ years coding experience and 1+ years coding specifically in R or Python;, • Coding Skill: Intermediate coding skill in Python or R;, • Leadership Experience: 1+ year of project leadership;, • Technical Knowledge: Intermediate knowledge of Data Science, Modeling, Machine Learning, and Statistics; iSpot's Client Data Science team expects all candidates to have a range of soft skills, including but not limited to: critical thinking, attention to detail, and effective communication. Additionally, the following soft skills are required for success in this role: Prioritization of accuracy; Flexibility and adaptability; Resourcefulness; Logic. Target cash compensation range: $95,000 - 118,000USD Annually We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot's equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. For more information on total rewards package, go HERE Hybrid & Flexible Workplace Policy iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency. Those local or living in surrounding areas to one of our offices (Bellevue, WA; El Segundo, CA; New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further. #LI-Remote If you don't feel you met every single requirement for the role, don't rule yourself out. Please apply anyway! iSpot is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please contact our HR team. California Residents applying for positions at iSpot can access our California Consumer Privacy Act here.

Job Description MediaAlpha is a customer acquisition solutions provider powered by technology and data science. The company provides industry-leading solutions designed to reach consumers shopping within high-consideration categories such as property and casualty insurance, health insurance, life insurance, and more. Responsibilities: • Design advanced Machine Learning algorithms and conduct statistical analyses using large-scale datasets for purposes such as ad targeting, bidding optimization, and audience segmentation., • Enhance system performance and accuracy through rigorous data analysis across marketing, transactional, and engineering datasets., • Engage with leadership and various departments to align Machine Learning projects with organizational goals., • Collaborate closely with software development teams to integrate new systems smoothly into existing platforms and workflows., • Provide expertise in Machine Learning and data science, guiding internal teams and external clients. Explore new technologies and methodologies to advance our capabilities and maintain technological leadership., • Lead initiatives from conception through execution, ensuring projects adhere to timelines and quality standards., • Foster a culture of innovation and continuous improvement within the team.Qualifications:, • THIS POSITION REQUIRES A MASTER'S DEGREE (OR FOREIGN EQUIVALENT) IN APPLIED ANALYTICS OR A CLOSELY RELATED FIELD PLUS 2 YEARS OF WORK EXPERIENCE AS A DATA SCIENTIST/ENGINEER, DATA ENGINEER/SCIENTIST, OR A RELATED OCCUPATION.Requirements:, • Education Requirement: Master's degree in Applied Analytics or a closely related field., • 2-years Machine Learning-related experience with:, • Machine Learning projects implementation from conception to deployment using machine learning frameworks (TensorFlow, PyTorch, scikit-learn and deep learning), and, • Annual bonus program and participation in our Restricted Stock Unit program, • 100% Employer-paid health, dental, and vision insurance for you, your dependents, and spouse or registered domestic partner, • 100% Employer paid long term disability, and life insurance, • 401(k) retirement plan with matching contributions to help you plan for your future, • Open Paid Time Off policy with a birthday day off and 11 holidays, • Professional development reimbursement, • Cell Phone, Wellness, and Internet expense reimbursement, along with a subscription to the Calm App, • 100% fully paid parental leave for team members up to 22 weeks for the primary caregiver and 12 weeks for the secondary caregiver, • Dog-friendly offices (LA and AZ) along with a $300 pet adoption reimbursement Qualified applicants should send resume to: , REF: ZY-25 Diversity, Equity, and Inclusion MediaAlpha is committed to fostering, cultivating, and maintaining a culture of diversity, equity, and inclusion. Our philosophy and actions are built on the premise that as an employer and citizens of our communities, we can create opportunities for lasting change. Fair Chance MediaAlpha will consider qualified applicants, including those with criminal histories, in a manner consistent with state and local "Fair Chance" laws. We are also committed to providing reasonable accommodations for qualified applicants with disabilities and disabled veterans in our application process. If you need assistance or an accommodation due to a disability, please contact us at or (213) 316-6256.

Job Description Job Title: Data & AI Scientist Location: Remote (FL, TX, WA, OR, OH, ID, SC) Type: Full-Time Salary Range: $170,000 – $200,000 base salary + benefits Industry: Insurance Technology & Innovation About the Role: Our client is seeking a Data & AI Scientist to lead the development of advanced data and AI solutions. This position is responsible for building and deploying intelligent systems that drive innovation in underwriting, claims, pricing, and customer engagement. The ideal candidate will have a strong background in AI/ML, cloud platforms, and insurance industry processes. Key Responsibilities: * Design and deploy machine learning models using supervised and unsupervised techniques. * Build Retrieval-Augmented Generation (RAG) pipelines for decision support. * Apply NLP and generative AI to automate workflows and personalize customer experiences. * Leverage vector databases and knowledge graphs to enhance automation in insurance operations. * Develop scalable data pipelines and cloud-native solutions using Azure ML, Databricks, and Snowflake. * Drive MLOps best practices for model lifecycle management, CI/CD, and performance optimization. * Collaborate with cross-functional teams to identify AI opportunities and define strategy. * Ensure compliance with ethical AI standards and data privacy regulations. * Mentor team members and foster a culture of innovation and technical excellence. Qualifications: * Bachelor’s degree in Computer Science, Data Science, or related field (Master’s or Ph.D. preferred). * 10+ years of experience in enterprise AI/ML development and deployment. * 7+ years working with cloud platforms such as Azure ML, Databricks, and Snowflake. * Expertise in Gen AI, RAG pipelines, NLP, and vector-based search. * Proficiency in Python, PySpark, SQL, and distributed model training. * Experience in insurance domains (Auto, Home, Umbrella) is required. * Familiarity with frameworks such as LangChain, LlamaIndex, Hugging Face, and Azure OpenAI. * Strong understanding of MLOps, agile methodologies, and scalable architecture design. Benefits: * Comprehensive medical, dental, and vision insurance for employees and their families * Generous paid time off, including vacation, holidays, and personal days * 401(k) retirement savings plan with company matching contributions * Flexible work arrangements, including remote and hybrid options * Professional development, wellness programs, and employee assistance resources How to Apply: If you are a strategic thinker with a passion for AI and a proven track record in delivering enterprise-scale solutions, please submit your resume to for confidential consideration or reach out to learn more. Pay Details: $170,000.00 to $200,000.00 per year Search managed by: Devin Hurley Equal Opportunity Employer/Veterans/Disabled Military connected talent encouraged to apply To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: • The California Fair Chance Act, • Los Angeles City Fair Chance Ordinance, • Los Angeles County Fair Chance Ordinance for Employers, • San Francisco Fair Chance Ordinance Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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: • 12+ years of relevant work experience with a Bachelor’s Degree or at least 9 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 6 years of work experience with a PhD, OR 15+ years of relevant work experience. Preferred 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 a new hire into this position is 207,500.00 to 301,250.00 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 Ecologist / Wetland Scientist Full-time exempt Professional Kirkland, Kirkland, WA, US Salary Range: $95,000 To $135,000 (USD) Annually PACE Engineers is a Pacific Northwest engineering firm providing civil and structural engineering, planning, surveying, and construction management services from offices in Washington and Oregon. With 135 employee-owners, we are recognized for our expertise, passion, and commitment to clients and communities. Collaboration is central to our culture, enabling us to leverage the creativity and dedication of our teams across all locations, while maintaining a people-first approach that makes PACE both a strong partner and a vibrant community. We are currently seeking an Ecologist/Wetland Scientist for our growing Environmental team. This role is results-driven and aligned with the organization’s strategic goals, requiring initiative, a competitive mindset, and the ability to stay focused during change. It demands quick decision-making, innovation, and a strong sense of urgency. The ideal candidate is confident, self-assured, and capable of inspiring others while maintaining a firm, goal-oriented leadership style. Excellent communication, adaptability, and delegation skills are essential, as is the ability to learn quickly and manage multiple priorities. Ultimately, success in this position is measured by achieving fast, high-quality results through motivation and accountability, rather than rigid adherence to process. WHAT YOU’LL BE DOING • Lead and oversee critical area and wetland delineations in accordance with U.S. Army Corps of Engineers (USACE) guidelines and regional supplements., • Manage all phases of environmental projects including proposal development, budgeting, fieldwork, regulatory coordination, reporting, and client communication., • Prepare and review high-quality technical documents such as wetland delineation reports, critical area reports, jurisdictional determinations, mitigation plans, HPA, and Section 404/401 permit applications., • Serve as a primary liaison with federal, state, and local agencies on environmental permitting and compliance matters., • Guide the development and implementation of wetland restoration, mitigation, and monitoring plans., • Supervise, mentor, and provide technical guidance to junior and mid-level staff., • Utilize GIS and data management tools to support project planning and analysis., • Ensure all project work meets regulatory requirements, internal standards, and client expectations., • Stay current on evolving environmental regulations, guidance, and best practices. QUALIFICATIONS: • Bachelor’s or Master’s degree in Environmental Science, Ecology, Biology, Natural Resources, or a related field., • Minimum of 7–10 years of professional experience in wetland science, environmental consulting, or natural resource management., • In-depth knowledge of federal and state wetland regulations, including Clean Water Act Section 404/401 permitting., • Demonstrated experience managing complex environmental projects and multidisciplinary teams., • Proficiency in conducting wetland delineations, functional assessments, and habitat evaluations., • Strong technical writing and verbal communication skills; ability to present complex concepts clearly to clients and regulators., • Experience completing complex mitigation and bank-use plans., • Proficient in GIS mapping, GPS field tools, and environmental data analysis., • Valid driver’s license and willingness to travel for fieldwork and client meetings. PREFERRED QUALIFICATIONS: • Professional Wetland Scientist (PWS) certification or eligibility., • Experience in client development, proposal writing, and strategic project planning., • Familiarity with NEPA, ESA, and other environmental compliance frameworks., • Expertise in wetland mitigation banking, ecosystem restoration, or long-term monitoring programs., • Experience in regulatory negotiation and agency coordination., • Regional Experience BENEFITS SNAPSHOT • Hybrid work model & flexible scheduling, • 401(k) & ESOP (Employee Stock Ownership Plan), • Medical, dental, vision, HSA/FSA, • Paid time off, holidays, and wellness programs, • Short & long-term disability, life, and AD&D insurance, • Culture that supports belonging, equity, and inclusion PACE is an Equal Opportunity Employer and values diversity in the workplace. We encourage all qualified applicants to apply.

Job DescriptionSalary: About Us Monod Bio is a pioneer company in the design ofde novoprotein biosensors. Our innovative biosensor platform technology takes advantage of the most recent advances in computational protein engineering to create highly modular biosensing nano-switches that enable rapid, sensitive, and inexpensive analytical assays.Our visionary founding team and state-of-the-art technology position Monod Bio at the forefront of molecular reporter and biosensor innovation, and we welcome exceptional individuals to join us in this journey. Monod Bio is looking for a Scientist in computational protein design. The selected candidate will independently spearhead a dedicated team through projects focusing on screening, lead identification and production of computationally designed de novo proteins. This position requires extensive experience in protein biochemistry, protein expression and purification methods in bacterial systems and quality control of the resulting protein reagents. The ideal candidate will be responsible to interface with internal and external stakeholders to understand the deliverables of each project, and independently plan timelines, required human and material resources, execution, and quality assessment of the delivered product. Key Responsibilities • Design and engineer novel proteins and enzymes using state-of-the-art computational tools (Diffusion, RosettaFold, AlphaFold etc.). You will have access to the most advanced protein design platforms, along with proprietary experimental technologies and a diverse team of scientific experts, enabling you to work at the forefront of protein engineering., • Contribute to the continuous refinement of AI/ML systems: Leverage data-driven insights to improve the accuracy of predictive models, ensuring that every stage of the drug development pipeline benefits from cutting-edge computational approaches., • Collaborate across interdisciplinary teams, ensuring a seamless connection between computational insights and experimental design. You will engage with biologists, chemists, and engineers to ensure that our designs lead to viable and effective therapeutics., • PhD in Computer Science, Computational Biology, or a related field: Candidates with industry experience are preferred. We seek an expert in machine learning for protein design, with a proven track record of designing functional enzymes, therapeutics, or other protein-based molecules., • Hands-on experience in computational protein design: You have a deep understanding of the tools and techniques used to design and model proteins, and you are eager to apply your knowledge to real-world challenges., • Proficiency in deep learning and AI/ML applications: You are familiar with deep learning concepts and have experience developing and optimizing machine learning models, particularly in the context of protein structure prediction, enzyme design, or other related areas., • Fluent programming skills in Python, Bash, Go, C++, and other languages: You are comfortable working with these programming languages to build efficient, scalable solutions, and can integrate computational models into larger workflows., • A collaborative mindset with interdisciplinary lab teams: You understand the dynamics of laboratory research and can bridge the gap between computational and experimental work. You are adept at working with cross-functional teams to integrate computational innovations into real-world workflows., • Ability to perform work in both an office and laboratory environment. Will be in proximity to BSL2 labs. Familiarity with biological and chemical hazard handling. Training and equipment will be provided, as necessary., • Office mobility and the ability to stand for periods of time as needed are required., • Operations happen in moderately loud environments. PPE included by the company., • While not normally anticipated for this computational position, exposure to mild odors from the manufacture of physical specimens and from laboratory work may occur. The environment has been tested, and proper engineering protections are in place. We are proud to provide a generous benefits package and a healthy work culture:, • Competitive annual salary range of $120K to $175K based on skills and experience. Annual discretionary bonus opportunity., • 100% company-paid medical, dental, life/AD&D, and vision insurance premiums for employees scheduled to work 25+ hours per week. 50% paid premiums for eligible dependents., • 4 weeks PTO per year plus 11 paid holiday closure days and 2 annual floating holidays., • Parental leave benefit., • State-of-the-art lab and office on bus line and near coffee shops, restaurants, and South Lake Union neighborhood., • Casual environment, friendly colleagues, and of course, excellent snacks in the kitchen! Every position requires certain physical capabilities with the major ones for this role noted above. Monod Bio seeks to provide reasonable accommodations that enable individuals with disabilities to perform essential duties when possible. Equal employment opportunity is a fundamental principle at Monod Bio.

Job Description Umoja Biopharma is a game-changing biotech start-up 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 the principles of Diversity Equity and Inclusion and strongly invite applications from enthusiastic individuals who share our commitment and help position Umoja as a leader in this front. 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 The Umoja Translational Medicine team at Umoja Biopharma is seeking a motivated and detail-oriented Associate Scientist to support laboratory-based technical operations. This role will focus on executing bioanalytical assays and supporting clinical sample testing to advance investigational products. This role will also oversee management and organization of clinical samples and critical reagents, ensuring seamless workflow and operational excellence within the lab environment. The ideal candidate will have foundational industry experience and a strong technical background in immunology and molecular biology. This is a hands-on lab role with opportunities to contribute to assay development and translational research. This is a great opportunity to be part of an exciting startup biotechnology company and to develop the next generation of cancer immunotherapies with a portfolio that could allow greater responsibility and career opportunities. CORE ACCOUNTABILITIES Specific responsibilities include: • Execute and support fit-for-use bioanalytical methods for clinical biospecimen testing, including flow cytometry, molecular assays, and serum/ plasma-based protein analysis., • Assist in assay optimization and qualification under guidance from senior scientists., • Oversee the management and organization of clinical samples, ensuring proper handling and storage., • Prepare, maintain, and organize critical laboratory reagents, ensuring proper labeling, handling, storage, and disposal as needed., • Create and maintain accurate and complete laboratory records using an electronic notebook system that adheres to company guidelines and in accordance with SOPs and regulatory guidance., • Support data analysis and contribute to technical reports and presentations for communication of study results in cross-functional meetings., • Bachelor's in Immunology, Molecular Biology, or related discipline with 4+ years of experience; an Associate Degree in Molecular Biology or similar with 6+ years of experience. Equivalent combinations of education and experience will be considered., • Hands-on experience with cell culture, handling primary cells, and/or functional cell-based assays, • Hands-on experience with multicolor flow cytometry and ELISA or ECL-based protein assays, • Familiarity with qPCR/ddPCR platform technologies, • Experience with single cell analytics, including high parameter flow cytometry, sequencing, spatial transcriptomics, • Exposure to clinical sample handling and documentation, • Industry experience and/or experience in the cell and gene therapy field, • Strong organizational and communication skills, • Project-oriented work in this role will require regular on-site presence (5 days/week) to complete essential job-related functions for assisting with bioanalytical method development, execution, and in-person meetings.

Job DescriptionPrincipal Data Scientist – (Gen AI, Machine Learning): Are you energized by the idea of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? Do you dream of building ground-breaking products that define the future of AI-driven network management? Then come, advance with us at Extreme.This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. You will help define every aspect of the user journey, product vision, and technical roadmap, and you will drive innovation from concept to delivery.There has never been a better time to join Extreme. With multiple acquisitions expanding our portfolio and market strategy, we are experiencing unprecedented growth worldwide. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Extreme is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences, not despite them.Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence.Job Responsibilities • Define and drive the long-term data science and ML strategy, influencing both product direction and organizational priorities, • Lead high-impact research initiatives in ML, GenAI, and Graph ML, push the boundaries of applied science, and establish best practices for scalable adoption, • Partner with engineering and product leadership to align data science innovation with business goals, shaping platform and infrastructure investments, • Mentor and guide staff- and senior-level scientists, set technical direction, and foster a culture of excellence and innovation, • Represent the organization externally through publications, talks, and collaborations, strengthening the company’s thought leadership in AI and MLRequirements:, • Degree in Computer Science, Mathematics, or a related field, • 8+ years of experience in applied ML research and production deployment, • 3+ years of hands-on experience building Generative AI solutions such as RAG, AI Agents, or LLM fine-tuning in production, • Experience with Graph ML and Graph technologies such as GNNs or GraphRAG in production, • Proven track record of end-to-end ownership including design, experimentation, validation, deployment, and scaling of ML systems, • Experience deploying solutions on cloud platforms such as AWS, Azure, or GCP, • Demonstrated ability to solve highly complex, ambiguous, cross-domain problems with measurable business impactPreferred Qualifications, • MS or PhD in Computer Science, Machine Learning, or a related discipline, • Experience with distributed Big Data and ML platforms such as Spark, Flink, Kafka, PySpark, or Lakehouse, • Recognized track record in the ML and AI community through publications, patents, open-source contributions, or conference talks, • Strong ability to influence at the organizational level by driving strategy and fostering cross-functional alignment

Job Description Etz Hayim owns and operates the brands Cycling Frog and Lazarus Naturals, as well as a sprawling operation that spans from farming over 300 acres of hemp, extraction, chemical processing, packaging and warehousing to support both brands and private label customers. Lazarus Naturals was founded in 2016 to provide safe and accessible CBD products for everyone who would benefit from them, regardless of their financial situation and ability to pay, which is why we provide a 60% Assistance Program to veterans and people with disabilities or low-incomes. In order to maintain an affordable price point and our commitment to accessibility for all, we have built a vertically integrated business model, which allows us to walk our talk of developing quality, affordable products - from product inception, development, seed, farming, extraction, finished production formulation and packaging, and distribution. Cycling Frog is normalizing the consumption of casual use THC products. We are on a mission to make THC convenient, affordable, and fun by making a sessionable THC beverage the same price as a beer or soda. We want to change the way THC is consumed and viewed by our society by focusing on lower potency, ready to drink beverages that can easily fit into anyone’s lifestyle. Under the Federal Farm Bill it is legal to sell these low potency THC products across all 50 states via the internet, and anywhere you can grab a beer. This role will be based in Seattle, WA. Summary: This job description pertains to an R&D Scientist with a background in product and process development to support our Seattle office. The candidate should have a strong grounding in scientific principles, and a demonstrated track record of developing products and processes from proof of concept through scale up, validation, and implementation. Beyond technical qualifications and sufficient experience requirements, we at Etz Hayim look for people who can thrive in our work environment and actively challenge themselves. We prioritize applicants who can illustrate their capacity to think critically, approach problem solving positively and constructively, as well as the ability to claim responsibility for their actions, whether good or bad. It is equally important that any applicant is able to exhibit an appreciation for proactive honesty and marked flexibility in the face of abrupt change. Moreover, we prefer applicants who share our passion and pride in the work we all contribute to as a team. Job Description • Lead the conceptualization and development of new food, beverage, and dietary supplement products from initial idea through market launch, • Independently manage product development projects, creating and driving timelines, tracking progress to ensure visibility for leadership, and ensuring support of key crossfunctional stakeholders., • Conduct market research and consumer trend analysis to identify opportunities for new product development, • Partner with brand and marketing teams to ensure product positioning aligns with technical capabilities and market requirements, • Work collaboratively with Operations stakeholders to proactively monitor, investigate, and resolve issues related to formula stability and product safety., • Design and execute bench and pilot scale experimentation, ensuring suitability to manufacturing process in advance of product roll out., • Analyze data, write technical reports and communicate findings to management and other team members., • Serve as a reliable technical resource for product characterization and manufacturing support, • Stay current with emerging research in nutrition science, functional ingredients, and bioactive compounds Salary: $70,000-$90,000 annually Requirements • BS in food science, chemistry or a related science. Master of Science (MS) strongly preferred. PMP certification highly desired., • Minimum 5 years of senior level experience developing products with extensive formulation knowledge across a wide array of material types and use cases (e.g. solids, water soluble powders, emulsions)., • Demonstrated background of leading project management initiatives and meeting deadlines while meeting expected project outcomes., • Extensive experience designing, developing, and scaling functional food and beverage products., • Proven track record of managing multiple projects in a fast paced environment., • Extensive experience managing product development from proof of concept, through scale up and transition to manufacturing., • Strong verbal and written communication skills, experience with writing of technical reports and controlled documents., • Comprehensive benefits (medical, vision, and dental insurance), • Employee discount program, • Fully stocked kitchen, • 401K plan, • FSA & commuter benefits

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 Description Job Title/Role:-Content Data scientist Job Location:-Seattle, WA Duration:-12 Months Visa:- No OPT/CPT/H1T Interview:- Phone/Skype Mandatory Skills Content Data Detailed JD ⦁ Need senior candidates. ⦁ Content Data Scientist – This is true data scientist who will be working on content efficiency modelling, taste personas, content acquisition, forecast, Avod forecasting Etc. ⦁ Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. ⦁ Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. ⦁ Assess the effectiveness and accuracy of new data sources and data gathering techniques. ⦁ Develop custom data models and algorithms to apply to data sets. ⦁ Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. ⦁ Develop company A/B testing framework and test model quality. ⦁ Coordinate with different functional teams to implement models and monitor outcomes. ⦁ Develop processes and tools to monitor and analyze model performance and data accuracy.

Job DescriptionGopuff’s Data Science team powers the personalized search, browse and recommendation experiences that shape how customers discover daily goods. We are expanding our mission to include cutting-edge generative-AI capabilities. This role will lead the design and deployment of LLM-driven models that deeply understand customer needs and deliver personalized, timely experiences. You will partner with product managers, engineers and researchers to adapt pre-trained large language models (LLMs) to Gopuff’s unique business challenges, fine-tune models using LoRA/qLoRA, build retrieval-augmented generation (RAG) pipelines, and drive innovation from prototype through production.You Will: • Understand customer needs through AI: Build models that interpret intent and context to provide the right product, recommendation or experience at the right moment., • Fine-tune and adapt LLMs: Apply LoRA/qLoRA and RAG techniques to customize state-of-the-art LLMs for Gopuff’s domain, using frameworks such as Hugging Face, LangChain and LlamaIndex., • Architect personalization systems: Design robust pipelines for search, retrieval and ranking that combine generative AI with classical ML, leveraging vector databases and prompt/context optimization., • Drive algorithmic innovation: Explore and apply new methods in deep learning, reinforcement learning, multi-task learning and embeddings to improve personalization, recommendations and discovery., • Develop conversational and Q&A experiences: Build interactive agents that can answer questions, guide product discovery and engage with customers in natural language., • Deploy at scale: Collaborate with MLOps and engineering teams to productionize models with high scalability, reliability and low-latency response times., • Evaluate and optimize: Define metrics, design A/B tests and perform offline/online evaluations to measure model performance, customer satisfaction and business impact., • Collaborate and educate: Work with product, engineering, design, analytics and leadership teams to translate business needs into AI solutions and communicate data-science concepts clearly., • Mentor and lead: Provide technical leadership and mentorship to data scientists and ML engineers, fostering a culture of responsible, customer-focused AI., • Stay ahead of the curve: Continuously track emerging LLM architectures, tools and techniques, and integrate them into Gopuff’s AI roadmap.You Have:, • MS/PhD in Computer Science, Statistics, Mathematics or a related field with 2+ years of experience building generative-AI systems (or 8+ years of industry experience in data science)., • Demonstrated experience fine-tuning LLMs using LoRA/qLoRA, adapting models through RAG pipelines, and optimizing with transformer architectures., • Proficiency in prompt engineering, RLHF and model optimization., • Hands-on expertise with Hugging Face Transformers, LangChain, LlamaIndex and vector databases (e.g., Pinecone, FAISS)., • Strong skills in Python and ML frameworks (PyTorch, TensorFlow, JAX); experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Databricks, etc.)., • Experience working with large datasets and SQL; ability to write scalable, production-quality code., • Excellent communication and collaboration skills to partner across technical and business teams., • A passion for building AI that understands and anticipates customer needs while ensuring responsible and fair use of technology.Compensation:, • Gopuff pays employees based on market pricing and pay may vary depending on your location. The salary range below reflects what we’d reasonably expect to pay candidates. A candidate’s starting pay will be determined based on job-related skills, experience, qualifications, interview performance, and market conditions. These ranges may be modified in the future. Exceptions may be made for exceptional individuals. For additional information on this role’s compensation package, please reach out to the designated recruiter for this role., • This role is eligible for a discretionary annual cash bonus and participation in Gopuff’s equity incentive plan., • Base Salary Range: $175,000 - $270,000What We Offer:, • Medical/Dental/Vision Insurance, • 401(k) Retirement Savings Plan, • HSA or FSA eligibility, • Long and Short-Term Disability Insurance, • Mental Health Benefits, • Fitness Reimbursement Program, • 25% employee discount & FAM Membership, • Flexible PTO, • Group Life Insurance #LI-GOPUFF Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, and Poland, we’re building the future of online marketplaces –together. From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone. And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. 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 You will be the analytical powerhouse behind our marketing initiatives, working end-to-end from data exploration to model deployment. Your work will directly influence how we invest in marketing channels, personalize user engagement, and measure ROI at scale. In this role, you will: * Design, analyze, and interpret experiments to optimize marketing performance across channels (paid media, lifecycle marketing, influencer partnerships, etc.) * Build and maintain attribution models to better understand customer journeys and channel impact. * Develop forecasting and optimization tools to allocate budget efficiently and predict campaign performance. * Partner with marketing, product, and engineering teams to create data-driven strategies for audience segmentation and personalized messaging. * Establish scalable measurement frameworks for new marketing channels and campaigns. * Present actionable insights and recommendations to executive leadership in a clear, compelling narrative. Team members in this role are required to be within commuting distance of our New York City, Los Angeles, Seattle, and San Francisco hubs. 👋 You Curious about who thrives at Whatnot? We’ve found that embodying a low ego, growth mindset, and high-impact drive goes a long way here. As our next Data Scientist, Marketing, you should have: * 4+ years of experience in data science, analytics, or applied statistics, ideally in a marketing, growth, or advertising context. * Advanced proficiency in SQL and Python (or R) for data manipulation, modeling, and analysis. * Experience with marketing measurement techniques (e.g. MMM, incrementality testing, causal inference). * Strong understanding of digital marketing ecosystems, including paid social, search, display, email, and affiliate channels. * Proven ability to design and analyze A/B and multivariate experiments. * Excellent communication skills, with the ability to translate complex analyses into clear, business-focused recommendations. * Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Mathematics, Engineering) or equivalent experience. 💰Compensation For Full-Time (Salary) US-based applicants: $205,000/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 * Generous Holiday and Time off Policy * 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: $205K - $240K

Job DescriptionAbout Outpace BioOutpace Bio is pioneering the future of cell therapy for solid tumors by harnessing unrivaled AI-powered protein design. Our mission is to program immune cells for enhanced function inside patients, overcoming key barriers such as poor tumor access, weak survival, antigen escape, and dose-related toxicity. By creating and integrating modular, plug-and-play technology assets, we are developing cell therapies with unprecedented efficacy, transforming how engineered T cells interact with cancer and the immune system to deliver life-changing outcomes. Our multidisciplinary team of scientists, engineers, coders, and cell therapy developers works at the cutting edge of computational protein design, synthetic biology, and immunology. Together, we are reimagining how cells function to unlock novel therapeutic possibilities.Located in Seattle’s vibrant biotech hub overlooking scenic South Lake Union, Outpace Bio is led by pioneers in computational protein design and engineered cell therapies. Our culture is built on a foundation of respect and inclusion, which are fundamental to how we collaborate to revolutionize cell therapy through groundbreaking innovation rooted in rigorous science. Our Commitment to DiversityAt Outpace Bio, we believe that the highest performing teams include people from a wide variety of backgrounds and experiences. We are committed to cultivating an open, diverse, and inclusive culture for all employees. Recognizing that the best candidates do not always match all criteria of the job description, we encourage you to apply if you think you would be a good fit for the role and are inspired by our mission to cure disease by pushing the boundaries of biology. Our MomentumIn August 2024, Outpace Bio secured an oversubscribed $144 million Series B financing, led by RA Capital Management and supported by a premier syndicate of life science investors. This funding accelerates our pipeline of programmed T cell therapies, including our lead candidate OPB-101, a mesothelin-specific chimeric antigen receptor (CAR) T cell enhanced by Outpace’s proprietary OUTSMART™, OUTLAST™, OUTSPACER™, and OUTSAFE™ technologies. OPB-101 is advancing toward IND clearance and first dosing in 2025 for patients with advanced platinum-resistant ovarian cancers. The Series B investment also supports the expansion of our pipeline, enabling us to develop additional transformative therapies leveraging our innovative plug-and-play technology platform. We are seeking a Senior Research Associate or Scientist I to join the viral vector production team at Outpace Bio. In this role, you will apply your scientific training and technical expertise to produce, purify, and characterize lentivirus for our cell and gene therapy applications. Working collaboratively with our Immunology, In vivo, and Cloning teams, you will ensure timely delivery of high-quality viral vectors while contributing to the development of novel viral assays and scale-up process development and improvement. Successful candidates will bring strong technical skills in mammalian cell culture, viral vector systems, viral vector process development, viral downstream purification, and analytical techniques including flow cytometry and molecular quantitation methods. We seek motivated, detail-oriented scientists who can work independently, troubleshoot technical challenges, and optimize protocols to advance our research programs. If you are a collaborative team player with strong problem-solving skills and enthusiasm for translating research into therapeutic impact, you will thrive in our fast-paced startup environment.Responsibilities (Position responsibilities may include, but are not limited to): • Produce and characterize lentivirus supporting multiple Outpace research and pipeline programs, • Design and execute optimization experiments to improve viral titers, purity, and production efficiency, • Support scale-up of lentiviral production for process development and preclinical in vivo studies, • Perform and optimize functional titer and genome quantitation assays (flow cytometry, ddPCR/dPCR), • Contribute to the development of improved upstream and downstream vector production and purification methodologies, • Contribute to experiment design, data analysis, and presentation of results in internal meetings, • Contribute to authoring or reviewing protocols, reports, or regulatory filings.Qualifications (Required):, • Ability to work independently on experimental design, execution, and troubleshooting, • Proficiency in mammalian cell culture and aseptic technique, • Hands-on experience with small-scale lentivirus production (adherent or suspension systems), • Working knowledge of chromatography and filtration principles, downstream bioprocessing, and process scale-up, • Experience operating chromatography systems (AKTA or equivalent), • Experience with filtration operations including UF/DF and depth filtration, • Highly organized with strong attention to detail and data quality, • Ability to learn new protocols quickly and apply critical thinking to problem-solving, • Effective scientific communication skills with ability to discuss results and collaborate with team members, • Experience measuring viral titer by flow cytometry and ddPCR/digital PCR, • Hands-on experience with transfection and transduction protocols, • Experience safely handling lentivirus under BSL-2 conditions, • 3+ years of research experience with mammalian cell culture systemsQualifications (Preferred):, • Master's or PhD in Virology, Molecular Biology, Immunology, Cell Biology, Gene Therapy, or related field; alternatively, Bachelor's degree with substantial position-relevant research experience in academic or industry setting, • Lentivirus process development in suspension culture formats (96-well, 24-well, shake flask, and 1-5L bio-reactor scales), • Downstream viral vector processing including tangential flow filtration (TFF) and chromatography-based purification, • Familiarity with molecular biology techniques including nucleic acid isolation, quantification, and PCR-based methods, • Experience with mammalian cell culture in bioreactor systems, • Experience in a startup or fast-paced biotech setting, • Experience with Electronic Lab Notebook (ELN) systems (Benchling), • Ability to manage multiple projects, prioritize workflow, meet deadlines, and collaborate effectively in cross-functional teams

Job DescriptionResponsibilities: 1. Work in big data. Take existing solutions, optimize and build high-performance algorithms. Scale algorithms on terabytes of data. Improve time complexity and space complexity of data pre-processing. Recommend ways to improve data reliability, efficiency and quality.2. Process structured and unstructured data, validate data quality, help to design data quality tests in big data environment.3. Help to develop and support data products. Develop data set processes for data modeling, mining and production.4. Work closely with engineers and data scientists. Help data science team and engineers to improve spark performance. Be involved into data products deployment.5. Create custom software components using Spark or PySpark (e.g. specialized UDFs) and analytics applications.6. Help to create visualization tools for tracking model performance and data quality. Integrate new data management technologies and software engineering tools into existing structures.7. Collaborate with data architects, engineers, data scientist, business team members on project goals. Minimum qualifications:- BS degree in a quantitative field such as statistics, operations research, computer science, mathematics, physics, electrical engineering, industrial engineering.-2 years of relevant work experience in big data analysis or related field (data engineer/developer).-Expert in Spark, Python/ or R, PySpark/ or SparkR, Scala, SQL/Hive- Familiar with Spark MLlib, SparkSQL-Accomplished in Hadoop-based data mining frameworks.Preferred qualifications:- MS or PhD degree in a quantitative field.- 2-3 years of relevant work experience, including deep expertise in Spark.

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 Analyst, 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 Description We are looking for a talented Data Scientist skilled in Python and SQL. In this role, you will analyze large datasets, develop predictive models, and derive actionable insights that will guide business decisions. Requirements • Proven experience as a Data Scientist or a similar role, with a strong focus on data analysis and modeling., • Proficiency in programming languages, especially Python, and strong SQL skills for database management and querying., • Experience with statistical analysis techniques and data visualization tools (e.g., Tableau, Matplotlib, Seaborn)., • Familiarity with machine learning frameworks and libraries (e.g., Scikit-learn, TensorFlow)., • Strong analytical skills and the ability to work with large datasets to extract meaningful information., • Experience in data preprocessing, feature engineering, and model evaluation., • Excellent problem-solving abilities and strong communication skills to present findings effectively. About Us We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at . Also follow our LinkedIn page for new job opportunities and more. Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.

Job Description Umoja Biopharma is a game-changing biotech start-up 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 the principles of Diversity Equity and Inclusion and strongly invite applications from enthusiastic individuals who share our commitment and help position Umoja as a leader in this front. 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 The Umoja Biopharma Translational Medicine team is seeking a highly motivated Principal Scientist to help advance investigational products through clinical phase studies and lead efforts to elucidate mechanisms of response, relapse, and resistance. This role offers the opportunity to lead translational medicine efforts on designated clinical studies and to support key trial objectives, including but not limited to safety, pharmacokinetics (PK)/ pharmacodynamics (Pd), immunogenicity, disease biology, and exploratory biomarker identification. This role will report directly to the Director of Translational Medicine and will be responsible for designing and executing translational strategies, driving relevant internal and external bioanalytical assay development, and integrating clinical insights into the pipeline. This role will also be involved in correlative studies, hypothesis-driven investigations, and reverse translation of clinical phase discoveries back into the pipeline. This role requires a combination of hands-on work in the lab and collaboration with external partners and vendors to develop and execute analytical methods. The ideal candidate will have a strong foundation in immunology and cancer biology, extensive biotech/pharma experience, and a proven track record as a translational scientist in clinical trials. This is a great opportunity to be part of an exciting startup biotechnology company and to develop the next generation of cancer immunotherapies with a portfolio that could allow greater responsibility and career opportunities. CORE ACCOUNTABILITIES Specific responsibilities include: • Serve as translational study lead for designated clinical studies, collaborating cross-functionally with clinical, regulatory, and research teams., • Drive assay development and validation for clinical biospecimen testing (hands-on and oversight)., • Interpret complex data sets and translate findings into actionable insights for pipeline advancement., • Manage external collaborations and vendor relationships for assay implementation and sample analysis., • Contribute to cross-program strategic planning within the Translational Medicine group., • Maintain complete laboratory records in line with appropriate guidance documents and/or SOPs., • PhD in Immunology, Cancer Immunotherapy, or related discipline with a minimum of 5+ years of relevant biotech/pharma experience in translational medicine or a Bachelor's degree in biology, immunology, molecular biology, or related field and 15+ years of relevant industry experience., • Demonstrated leadership in translational study design and execution for clinical studies., • Expertise in flow cytometry, molecular assays, and ligand binding assay development and validation., • Strong communication skills in technical writing and oral presentation., • Experience with cell and gene therapy development and/or clinical study development., • Experience with single cell analytics, including high parameter flow cytometry, sequencing, spatial transcriptomics., • Project-oriented work in this role will require regular on-site presence (5 days/week) to complete essential job-related functions for assisting with bioanalytical method development, execution, and in-person meetings., • Occasional travel may be required for site visits, audits, conferences, and/or business development.

Job Description We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary: As a Decision Scientist II, you will collaborate closely with product management, engineering, design, and marketing teams to drive the development, prioritization, and planning of the product roadmap. You will transform insights into decisive actions and product enhancements, providing business teams with actionable insights and investigating issues to empower leadership decisions. Embedded within a dynamic environment, you will design, execute, and analyze experiments to solve complex business problems directly related to growth and success. Close collaboration with stakeholders will be key to your success, as you address challenges and contribute to the continuous improvement of the user experience. We currently have multiple Decision Scientist II roles open across different teams. Please note, we will start with a more general interview process and will then match you accordingly based on interest and experience. Key Focuses: • Define KPIs and create reports and dashboards against large data sets to track performance., • Use data to identify opportunities for improving user acquisition and optimizing return on investment., • Turn ambiguous questions into clear analytical problems and solve them using data., • Become deeply familiar with product data, understanding its limitations and caveats, to support development and growth., • Design, execute, and analyze experiments that drive product growth and improvement., • Bachelor's degree in a quantitative field such as Mathematics, Computer Science, Operations Research, Economics, or equivalent experience., • 3+ years of experience in product analytics, business operations, analytics, growth marketing, or product., • Proficient with A/B testing, experimental design, and utilizing statistical modeling and causal inference to inform business decisions., • Proficient in statistical computing and scripting languages such as Python (numpy/pandas/matplotlib), R, and SQL., • Advanced degree (Master's or Ph.D.) in a quantitative field such as Mathematics, Computer Science, Operations Research, or Economics., • Extensive knowledge and practical experience in statistical methods such as causal inference, experimental design, and Bayesian inference., • Competitive salary, • Exceptional benefits package, • Flexible Vacation & Paid Time Off, • Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is $130,000 - $155,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics. Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at:

Genwest Systems, Inc. is an equal opportunity employer information management and consulting firm headquartered in Edmonds, Washington. Since its inception, Genwest has been a recognized leader in the design and implementation of information systems and solutions. We depend on a diverse team of talented staff to design, develop, and deploy information solutions for our clients. Genwest is accepting applications for an Environmental Scientist. This position will support our clients at the National Oceanic & Atmospheric Administration (NOAA), Office of Response and Restoration (OR&R) Spatial Data Branch (SDB). LOCATION: This position will be co-located with the NOAA Spatial Data Branch team working from NOAA offices in either Seattle, WA or Charleston, SC. POSITION DUTIES: The successful applicant will support OR&R staff in managing, collecting, and applying environmental data - including chemistry, toxicity and field measurements - for assessment of environmental injury, in particular natural resource damage assessment. They will also work with the Environmental Response Management Application (ERMA) and Data Integration Visualization Exploration and Reporting (DIVER) teams participating in data management, layer management, coordinating with data partners and stakeholders, and providing input for software and application development. KEY TASKS: • Work within a fast-paced team conducting spatial analysis to both support and communicate scientific decision making., • Work with NOAA and other trustees to support natural resource damage cases including injury assessment by providing environmental data to lead scientists (exposure pathways, environmental impacts, statistical analysis of chemistry and toxicology data)., • Work with co-trustees and stakeholders to deliver Deepwater Horizon Restoration Project’s long term data management., • Manage and standardize restoration monitoring data for integration into NOAA data systems., • Work with co-trustees and other stakeholders to support implementation of studies for characterizing and quantifying injuries to natural resources at hazardous waste and oil spills., • Work with co-trustees to prepare data sets for entry into OR&R’s DIVER database and work with OR&R’s Spatial Data Branch to ingest relevant datasets, ensure proper formatting, data access, and overall usability of the database., • Compile and organize spatial data (GIS) and metadata for integration into OR&R’s regional ERMA sites. QUALIFICATIONS: The successful candidate will be expected to demonstrate the listed qualifications in their resume and interview: Required Qualifications: • Master’s degree in marine or environmental science, ideally in one of more of the following sub-disciplines: aquatic toxicology, environmental chemistry, coastal ecology, quantitative analysis., • Strong verbal, writing, and organizational skills., • Demonstrated skills in managing environmental data and databases, including standardization and compilation of data in preparation for analysis and modeling., • Experience designing and performing field collections and data management., • Strong statistical and spatial analysis skills., • Self-motivated, energetic, strategic thinker, with ability to work and travel independently., • History of success in team-based project execution, working as both lead and contributor on diverse multi-disciplinary teams., • Demonstrated flexible and proactive approach to problem solving - working beyond immediate obstacles to identify and collaboratively define and implement solutions., • Demonstrated ability to plan and execute long term projects, including setting timelines and milestones, balancing priorities. Desired Qualifications: • Ability to prepare and give presentations and lead training sessions, where needed., • Ability to interpret and communicate scientific data to a non-technical audience., • Experience in assessing exposure and risk or injury from contaminants., • Experience with Geographic Information Systems (GIS) such as ESRI ArcGIS, QGIS or other GIS applications., • Experience with collection and analysis of data from multiple sources, such as remote sensing (Satellite, crewed and uncrewed systems) and electronic field data collection (Survey 123, FieldMaps) using varied software sets (R, RStudio)., • Experience with modeling exposure and injury from environmental contaminants., • Knowledge of damage assessment procedures mandated by Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA), Oil Pollution Act of 1990 (OPA), and/or relevant environmental state statutes., • Knowledge of data privacy and security regulations., • Experience in managing complex environmental projects, including building consensus around goals and objectives, and tracking and reporting on accomplishments., • Possess HAZMAT training (24 or 40 hour) or willing to take this training. COMPENSATION: Compensation will be determined based on the experience and qualifications of the successful applicant in combination with contract budget. The wage range is anticipated to be roughly $60,000 - $80,000 on an annualized basis, depending on candidate qualifications and client budget. The position is also eligible for a full-time benefit package that includes health insurance, paid personal and holiday leave, 401(k) program eligibility, and employee disability and life insurance. TO APPLY: Please submit any a cover letter (optional), resume (less than 4 pages), and 3 references in a single .pdf (Adobe Acrobat) attachment with your name included in the .pdf file name. Applicants selected for interviews will be contacted via email. The position will remain open until filled, with priority given to applications received before November 11, 2025.

Founding Research Scientist – Generative Video 📍 Seattle, WA (Onsite, 5 days/week) | 💼 Full-time About the Founders Founded by a collective of PhD researchers from leading global universities (Apple, Stanford & Oxford PhD Alumni) with backgrounds at top AI labs and major technology companies, combining deep theoretical insight with proven large-scale product execution. About the Company Our client is a stealth-mode AI startup creating breakthrough technology at the intersection of perception, learning, and expression. The team’s mission is to build intelligent systems that can observe and interpret subtle human cues — visual, vocal, and behavioral — to enable natural, emotionally aware digital interaction. They’re developing foundational models that unify multiple input streams to make communication between humans and machines feel effortless and authentic. Role Overview This position is ideal for a scientist who thrives at the boundary of research and product impact. As the Founding Research Scientist for Generative Video, you’ll lead experimentation on advanced video generation methods, designing architectures that model motion, timing, and realism at scale. You’ll have freedom to explore new diffusion-based approaches, define metrics for visual fidelity and consistency, and bring early-stage research into practical real-time applications. Key Responsibilities • Design and implement generative video models that synthesize realistic movement, depth, and texture., • Develop scalable pipelines for dataset creation, model training, and system evaluation., • Explore diffusion, transformer, and temporal modeling techniques to enhance continuity and expression., • Partner with engineers and scientists across modalities (speech, text, vision) to integrate outputs into unified frameworks., • Evaluate model behavior, benchmark performance, and publish findings where appropriate., • Transition promising prototypes into production-ready, low-latency systems. Required Background • PhD or comparable experience in Machine Learning, Computer Vision, or Graphics., • Proven expertise in video or 3D generative modeling, preferably using diffusion or transformer architectures., • Strong applied experience with PyTorch, JAX, or similar toolkits., • Understanding of data curation, distributed training, and large-scale evaluation., • Publications, patents, or open-source contributions demonstrating research excellence., • Self-directed mindset with enthusiasm for rapid iteration and open-ended discovery. What Makes This Unique • Early technical ownership in shaping the research roadmap of a deep-tech organization., • Opportunity to work on high-impact, unexplored problems in real-time generative media., • Close collaboration with a multidisciplinary team of machine learning, vision, and graphics experts., • Competitive compensation, strong equity participation, and top-tier backing from investors in applied AI.

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