Senior principal scientist jobs in Pasco, WA

Introduction to the team We create and deliver an aligned, dedicated marketing strategy to fuel each Expedia Group brand's success. Since our travelers interact with us through our brands, we have a brand focus in our marketing, while leveraging the scale and efficiency we've built in functional expertise. At Expedia Group, our Growth Marketing team is redefining how data-driven marketing meets AI-powered, agentic automation. We drive performance through best-in-class, scalable machine learning, deploying production-ready multimodal LLMs, GenAI, and agentic NLP architectures. Our agentic systems power everything from personalized travel discovery to real-time, cross-platform campaign execution at massive scale. Explore “Trip Matching” on Instagram for a glimpse into our production chatbot transforming inspiring reels and posts into hotel recommendation. As an ML Scientist III, your mission is to engineer, and scale production AI workflows, agents, and multimodal LLM pipelines, leveraging both in-house and third-party systems. You'll develop agentic solutions with advanced orchestration tools like LangGraph, Langfuse, RAG, and the latest frameworks, owning end-to-end delivery and optimizations for inference and GenAI systems. In this role, you will: Develop and deploy complex agentic and multimodal AI workflows at production scale, architecting memory-enabled, context-aware agents that drive dynamic automation, personalization, real-time monitoring and content generation. Design and orchestrate advanced LLM and RAG-driven agent solutions using modular frameworks including LangGraph, Langfuse, CrewAI, AutoGen, and other emerging agentic orchestration tools-enabling adaptive, stateful, and highly interactive workflow graphs. Integrate and optimize complete multimodal GenAI pipelines: text-to-image, image-to-video, text-to-video, and text-to-voice, leveraging and extending in-house and third party models. Fine-tune (parameter-efficient tuning, LoRA, QLoRA, etc.), and evaluate (perplexity, accuracy, creativity metrics) both open-source (Llama, MPT, Phi-4, etc.) and commercial LLMs (OpenAI GPT-4, Gemini, Claude). Pioneer LLM-based simulation & evaluation environments (e.g., LLM-as-a-Judge): Leverage the latest LLMs, multi-agent systems, and generative tools to simulate user behavior, accelerate experimental cycles, and rigorously evaluate new features or workflows in both synthetic and prod online shopping and travel environments. Simulate A/B testing via LLM simulations: Build A/B test agents capable of simulating user engagement, behavioral outcomes, and marketing scenarios to complement and replace large-scale online testing-enabling rapid iteration, robust pre-deployment validation, and deeper insight into agentic/LLM-driven feature impact. Continuously adopt and iterate on the latest frameworks, staying current with state-of-the-art in agentic orchestration, memory models, multimodal GenAI, LLM pipelines, and LLM operation (RAG, memory, tracing, evaluation). Collaborate deeply with engineering, marketing, and product teams to translate evolving business objectives into scalable and observable AI-driven solutions. Experience and qualifications: Minimum 7+ years experience delivering robust, scalable AI/GenAI solutions at enterprise scale with a Bachelors degree (4-5+ year of relevant experience with a Masters/PhD in CS, EE, Stats) Agentic frameworks experience working with platforms such as LangGraph, Langfuse, RAG, CrewAI, AutoGen, and comparable agent workflow frameworks Ability to design complex agent graphs with memory, tool calling, and multi-step reasoning Multimodal and agentic AI experience in both commercial and open-source models (VLMs, CLIP, Phi-4, DINO, etc), advanced LLM pipeline design, and shipping both inference and generative AI features to users Hands-on experience in fundamental neural network models (CNN, Transformers, BERT, VAEs, Multimodals etc) Proven expertise in architecting persistent, hybrid, and context-managed memory for agentic workflows Strong in Python (PyTorch, HuggingFace, etc.), MLOps, distributed systems (PySpark, Databricks, Airflow), and scalable API engineering Deep experience with tracing, logging, and observability stacks (Langfuse, PromptLayer, Weights & Biases, etc.), including prompt monitoring and model evaluation in live production Ability to translate complex technical systems into actionable solutions for cross-functional teams, leveraging Multimodal LLMs and Gen AI models

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.

Summary: Novogene is seeking a responsible individual for the single cell experiment based in Beaverton. The details of this position are as follows: Job Responsibilities: Monitor advancements in single-cell technologies and define medium to long-term operational improvement goals in quality, delivery, and cost efficiency. Investigate quality issues encountered during single-cell product production and operations and develop data-driven improvement plans. Track Quality, Cost, and Delivery (QCD) performance, conduct in-depth analysis to identify operational risks in advance, and lead root-cause investigations and corrective actions. Review R&D optimization project plans, coordinate testing activities, and ensure experimental designs are scientifically sound and feasible. Monitor project testing progress, troubleshoot issues promptly, and ensure projects are delivered on time while achieving R&D optimization targets. Be available to work/train in Sacramento from Q1 to Q3 2026, with the option to return to Beaverton thereafter. Willingness to travel to China for training as needed Job Requirements: Bachelor's degree or above, with at least 3 years of production optimization experience in single-cell assays. Solid knowledge of cell biology and single-cell technologies, with hands-on experimental expertise. Proven ability to optimize single-cell workflows and resolve technical challenges Must be proficient in retrieving and reviewing English-language literature and technical materials. Strong communication and coordination skills; demonstrated capabilities in risk management, time management, logical reasoning, and working under pressure. Email resumes to: ********************

About the Team The future of e-commerce customer service is intelligent, efficient, and AI-driven. Our team is dedicated to replacing traditional human-agent customer service with an advanced AI-powered conversational system that provides instant, intelligent, and seamless support for TikTok's global e-commerce platform. By leveraging Large Language Models (LLMs) and NLP, we are building an AI customer service system that can understand user queries, resolve disputes, guide transactions, and enhance the overall shopping experience without the need for human intervention. Our cutting-edge AI is designed to handle complex customer interactions, including answering product inquiries, resolving order issues, processing refunds, and assisting sellers with operational tasks. Through LLM post-training, we ensure that our AI assistant is continuously learning and improving, providing more accurate, context-aware, and human-like interactions. By joining us, you will be at the forefront of transforming customer service in e-commerce, helping build an AI system that understands, adapts, and provides intelligent solutions-all while reducing costs and improving efficiency for merchants and the platform. What You Will Do * Develop AI-Powered Customer Service Systems: Design and implement an AI-driven conversational customer service agent that can handle e-commerce inquiries, complaints, refunds, dispute resolutions, and logistical issues, replacing traditional human customer service agents. * LLM Post-Training & Data-Efficient Learning: Apply state-of-the-art LLM post-training techniques, such as instruction tuning, reinforcement learning from human feedback (RLHF), and continual learning, to optimize AI customer service responses with minimal labeled data. * Benchmark and training data construction: Identify challenging customer service interactions, such as policy clarifications, dispute handling, and multi-turn complaint resolution, and construct specialized datasets to enhance AI training. * Develop Multilingual Customer Support: Build AI models capable of handling customer service interactions across multiple languages and cultural contexts, ensuring accurate translation and appropriate responses for a diverse global audience. * Optimize Model Efficiency & Deployment: Work on model compression, quantization, and efficient inference techniques to ensure the AI customer service assistant can run at scale with low latency and high reliability. Responsibilities 1. Develop AI Customer Support Systems: Build and optimize AI-driven customer service models capable of handling high-volume, complex user inquiries while ensuring high response accuracy and reliability. 2. Enhance LLM-Based Customer Interaction Models: Implement LLM post-training strategies to improve customer support interactions, reducing errors, hallucinations, and irrelevant responses. 3. Create Automated Dispute Resolution & Policy-Adaptive AI: Develop intelligent models capable of handling disputes, verifying transaction details, and ensuring platform compliance in automated responses. 4. Develop Multilingual Support & Translation Models: Enhance the platform's AI translation capabilities for real-time multilingual customer service interactions, ensuring smooth cross-language communication. 5. Refine Response Evaluation Metrics: Define and implement quality evaluation metrics for AI-generated responses to track customer satisfaction and improve conversational AI quality through A/B testing and iterative optimization. 6. Enable AI-Seller Collaboration: Build AI-powered seller assistance tools to help merchants quickly respond to customer inquiries, manage store operations, and resolve disputes efficiently. 7. Optimize Large-Scale Model Deployment: Work on model compression, inference optimization, and edge AI deployment to ensure real-time, high-quality customer service experiences at scale. In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time. In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.Minimum Qualifications: * Bachelor's degree in Computer Science or related technical field * 3+ working experience in one of the following fields: machine learning, NLP, and computer vision * Experience with software development in at least one of the following programming languages: C++, Python, Go, Java Preferred Qualifications * LLM Development & Post-Training Expertise: Experience in fine-tuning, distillation, or reinforcement learning of large language models for conversational AI applications. * Multilingual AI Development: Proficiency in multilingual NLP, machine translation, and cross-lingual dialogue modeling. * E-commerce Business Acumen: Understanding of e-commerce policies, dispute resolution workflows, and merchant-buyer interactions to enhance AI service design. * Advanced NLP & Deep Learning: Strong grasp of AI agents, retrieval augmented generation, mixture of experts, sparse attention, reinforcement learning, inference time scaling etc. for improving AI dialogue quality. * Scalability & Efficiency: Experience in distributed model training, low-latency inference, and edge AI for large-scale customer service applications. * -- Join us and be part of the next-generation AI customer service revolution-where AI replaces traditional human support, making e-commerce interactions smarter, faster, and more seamless for millions of users worldwide! This role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening.

JOB TITLE: Senior Scientist - Agricultural Formulations REPORTS TO: Chief Scientific Officer STATUS: Full time, Exempt SALARY RANGE: $130,000-$160,000/year based on experience & qualifications BENEFITS: Medical, dental, and vision insurance, optional FSA/HSA, 401k with 6% employer match, life and AD&D insurance, Employee Assistance Program, short & long term disability, tuition reimbursement, 21.67 days of paid time off + 10 holidays About Tidal Vision: We believe that sustainability should not require customers to compromise on price, convenience, or performance. Our mission is to create positive and systemic environmental impact by making our biopolymer solutions cost competitive, more convenient, and better performing than the synthetic chemicals we displace. We value innovation and take pride in challenging the status-quo; we choose to view obstacles as opportunities. We value new ideas and encourage the team to apply creativity and invent new solutions to meet challenging demands. We foster open, direct communication, and a collaborative working environment through our unique approach to work culture. We value our employees and demonstrate that through our compensation and benefits programs and opportunities for growth and development. About Tidal Vision's Unique Work Culture: Tidal Vision strives to build and invest in the highest performing and most innovative team. We put our people and customers above process, avoid company-wide rules as much as possible, and have the courage to take unusual approaches to advance our mission. With this approach, we believe we can create a more flexible, fun, stimulating, creative, collaborative, and innovative organization. Our commitment to developing, practicing and promoting direct and open communication, responsibility and freedom, and leading with and seeking context is a responsibility for every role at Tidal Vision. JOB SUMMARY: The Senior Scientist will play a critical role in advancing Tidal Grow AgriScience`s Research&Development pipeline. This position requires deep expertise in agricultural sciences, product development, and technology scale-up, as well as the leadership skills to guide teams and collaborate across functions. The Senior Scientist will lead product concept initiation, improvement of existing products, research trial design and execution, and product life cycle assessments. This role blends scientific rigor with commercial awareness, translating cutting-edge research into practical, sustainable solutions that strengthen both grower outcomes and company growth. ESSENTIAL JOB FUNCTIONS: Lead innovation and product concept development, including improvements to existing product lines. Drive technology development, scale-up and translation from laboratory research to commercial application. Provide scientific and strategic recommendations to leadership, management, and stakeholders. Design, manage, and analyze field and greenhouse trials, delivering data-driven insights. Mentor and lead cross-functional R&D teams. Conduct product life cycle assessments from discovery through commercialization. Collaborate with regulatory, product development, and business teams to align science with market and customer needs. Apply computational R&D and advanced statistical analysis to optimize performance. Prepare and submit research proposals; represent Tidal Grow AgriScience with partners, institutions, and industry stakeholders. Utilizing your experience, you will provide input to the PD and CAS Teams regarding customer needs and ensure product and offer innovation matches the strategy for each account. Generally representing the mission, vision, and values of Tidal Grow AgriScience with customers and other stakeholders. BASIC QUALIFICATIONS: Master's degree or Ph.D. in Agricultural Science, Plant Science, Chemistry, Chemical Sciences, or a related field. Over 10 years of proven R&D experience in agriculture, fertilizers, pesticides, or related industries, with expertise in product development, technology scale-up, and computational R&D. Hands-on experience working with biopolymers, particularly chitosan, in developing agricultural inputs, coatings, and controlled-release formulations. Strong knowledge of ag industry products, applications, and regulations. Demonstrated leadership ability, with experience inspiring, mentoring, and motivating teams. Excellent communication, proposal writing, and relationship management skills. Proven track record of delivering scientific and commercial outcomes. PREFERRED QUALIFICATIONS: Deep understanding of crop production, regenerative practices, sustainability, and market trends. Strategic thinker with a data-driven approach to decision-making. Negotiation skills. Ability to work independently and prioritize effectively in a dynamic environment. Licensing & Special Requirements Incumbent is subject to a criminal background check. WORKING CONDITIONS & PHYSICAL REQUIREMENTS Position is based on-site in Bellingham, WA. Some travel may be required for research trials, conferences, or partner engagement. The employee is frequently required to stand, talk, hear, smell, visually inspect materials, walk, etc., and sometimes needs to lift and/or move up to 30 pounds while working around crop protection products. While performing the duties of this job, the employee is regularly required to use hands and fingers to handle, feel or operate objects, tools, or controls and reach with hands and arms. Tidal Vision provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. The statements contained herein reflect general details as necessary to describe the principal functions of this job, the level of knowledge and skill typically required, and the scope of responsibility, but should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned including work in other functional areas to cover absences or relief, to equalize peak work periods, or otherwise to balance the workload. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of the employer.

Moloco builds some of the most powerful AI advertising solutions in the world. Our name-short for "machine learning company"-reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy. Built with AI from day one, Moloco's planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media and Streaming Monetization solutions enable retailers, marketplaces, and streaming platforms to build revenue-generating ad businesses that balance user experience and advertiser performance. Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Bangalore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin. Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now! About the Role The impact you'll be contributing to Moloco: The Research Science (RS) team focuses on the operation and optimization of our software systems working closely with infrastructure engineering teams, machine learning teams and data science teams. As an Applied Scientist, you will participate as an individual contributor on research projects alongside other research scientists within the context of a group of cross functional collaborators working in complex multi-causal environments to identify inefficiencies, analyze potential options, and propose solutions. Your work will contribute to driving performance improvements and cost reductions, debugging and investigating production issues, and stabilizing our core system as you develop a deep end-to-end understanding of the system. Here's what you'll be working on: Work with other applied scientists on projects to evaluate the health of both internal and external components to make sure the Moloco system is running safely and efficiently. Learn from your senior peers how to identify new areas to improve our infrastructure and machine learning components by understanding internal system changes, external changes, and data changes, and identify and suggest interesting/useful next steps for your projects. Complete task as part of larger projects to complete deep unbiased analyses. Implement, and evaluate new algorithms and features in collaboration with senior Applied Scientists, Software Engineers and Machine Learning Engineers. Basic Qualifications: Advanced degree in Computer Science, Mathematics or related field, or industry experience in optimization of market prices or ML systems At least 4 years of engineering or applied science experience Proficient verbal and written English communication skills, with the ability to contribute to the creation of presentations and reports Quick understanding of new information and the demonstrated ability to learn new technical skills across engineering, machine learning, and data science Track record of building positive relationships with collaborators and stakeholders and working effectively with cross-functional partners in a global company Our Compensation And Benefits (for United States Residents Only) In accordance with various state laws, the range provided is a reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non-discriminatory factors such as experience, knowledge, skills, and abilities. We also offer a competitive benefits package. Base Pay Range:$140,400-$180,400 USD Moloco Thrive: Benefits and Well-Being: We take care of you and create the conditions for you to do the best work of your career. We offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives. Moloco Values: Lead with Humility: Everyone's voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success. Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what's possible. Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value. Go Further Together: We're one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won't let each other fail. Additional Resources: Moloco Company Blog Moloco Leadership Moloco Newsroom Equal Opportunity: Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy. Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law. Candidate Privacy Notice: Your privacy matters to us. By applying, you acknowledge that you've reviewed our Candidate Privacy Notice.

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.

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 Umoja is seeking a Scientist to join the Discovery Research team. This position will provide scientific technical leadership in delivering both routine IND-enabling studies, and studies exploring novel CAR T product concepts. This position entails initiating, designing, executing, analyzing, and communicating medium-sized projects consisting of several related experiments. A successful candidate will have experience with in vitro CAR-T assays (e.g. cell growth, cytokine production, cytotoxicity, and phenotypic analysis), and high-throughput screening methods that leverage genome editing (e.g. CRISPR). This is a fully onsite role based out of our Seattle, WA location. CORE ACCOUNTABILITIES Specific responsibilities include: Lead by demonstrating high standards for experiment design, execution, documentation, analysis, and communication. Solve moderately complex technical problems pertaining to product, experiment, and assay design. Perform experimental design, execution, data analysis, and reporting of results for IND-enabling studies. Design and implement novel screening campaigns to explore new product functionalities. Execute routine CAR T cell functional assays and assay development (MSD, flow cytometry, Incucyte ) as needed by the department. Author reports with clear and concise figures and messaging. Audit Benchling entries and perform data verification. Collaborate closely with adjacent departments. Proactively communicate activities, issues, and ideas to the team and serve as a subject matter expert on program teams as needed. Identify opportunities for product and assay improvements. Maintain familiarity with current scientific literature, maintain and update knowledge of CAR T biology, vector biology, and immunology. The successful candidate will have: PhD/MS/BS in Biological Science, Immunology or related discipline with at least 0+/8+/10+ years of relevant work experience respectively Expertise with platforms used for T cell analysis including the MSD, Incucyte, dPCR, and Attune/Aurora (or other flow cytometers). Experience with high-throughput screening methodologies. Extensive experience with experimental design, planning, execution, and basic data analysis Strong team communication and collaboration skills, along with self-motivation to contribute to the development of novel cancer immunotherapies Ability to balance multiple priorities in a fast-paced, cross-functional and dynamic environment Preferred Qualifications: Strong analytical capability Excels as both a team member and individual contributor Strong communication and organizational skills Experience with data analysis with JMP, R, and/or python Experience with INTEGRA pipetting equipment Experience working with electronic lab notebooks Experience with regulatory filings Physical Requirements: 100% compliance with personal protective equipment (PPE) requirements in biological laboratory environments for wet lab work, including gloves, protective clothing, and eye safety glasses. Perform physical tasks required for the role, including standing, walking, bending, kneeling, sitting, working your hands in a biosafety cabinet, and occasionally moving materials up to 50 pounds. Project-oriented work in this role will require regular on-site presence (5 days/week) to complete essential job-related functions. Salary Range: $123,250 - $152,250 Benefits Offerings Umoja Biopharma offers its employees competitive Medical, Dental, and Vision plans. Additionally, we offer Umojians access to a 401k plan through Fidelity, with a 100% match up to their first 4% deferral. Umoja also provides a generous Paid Time Off policy, employee commuter benefits, and cell phone stipend. For a full breakdown of our benefits offerings, please see the Benefits section of our website.

Duration: 12-month contract with probable extension/conversion Pay Rate: $85/hr on W2 Benefits: Medical, dental, vision; paid vacation/sick leave; 401k Our client is a leading research organization with a world-class researchers, developers, and engineers, who collaborate to actively create a future where virtual and augmented reality become as indispensable as todays smartphones and personal computers. The mission of our clients Audio team is to engineer augmented audio that redefines human hearing capabilities. This will allow us to connect people by facilitating conversation in even the most challenging auditory environment. We are seeking a contract applied research scientist specializing in the perception of tonal languages. This role is an integral part of our team, contributing to our research and development efforts. The ideal candidate will help us explore and understand individualized audio quality preferences and experiences, enabling us to tailor our technologies to meet unique user needs. Responsibilities: Oversee and drive research projects on speech quality, statistically analyze results and report findings. Monitor problems, facilitate resolution, and proactively keep projects on track. Implement and conduct pilot listening tests and other perceptual experiences. Regularly report on project progress, dependencies and risks to stakeholders. Support research scientists and engineers within the team. Manage procurement projects for equipment and vendor services. Willingness to roll up sleeves and take on operational tasks in support of the teams goals. Qualifications: Interpersonal and communication skills, with strong attention to detail. Proactive with ability to execute on multiple projects simultaneously. Strong organizational and time management skills. Track record of communicating research on speech perception, hearing sciences or auditory perception in an academic or industrial setting. Experience with data collection with human participants. Experience working in a fast-paced research and/or product development environment. Experience with scientific programming languages such as Matlab, Python, C++,or R. Masters degree or equivalent experience in Computational Neuroscience, Cognitive Science, Electrical Engineering, Perception, Experimental Psychology, Audio Engineering, Acoustics, Computer Science, Computer Engineering, Biomedical Engineering, Computational Audiology or a related field. Must-Have Qualifications: Experience with tonal languages and speaks at least one tonal language (Mandarin, Cantonese, similar - working on internationalization change in the role) PhD degree or equivalent experience. Experience with AI generative speech. Experience with modeling audio quality. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation. #TMN

Niantic's Machine Learning Team seeks a Machine Learning Scientist to join our AI/ML team. This role focuses on crafting and implementing machine learning-powered features for our geo-location-based mobile games. You will collaborate closely with product managers, game designers, engineers, and data scientists to craft intelligent game mechanics that respond to player behavior, contextual environments, and geospatial signals. This is a high-impact, hands-on role ideal for candidates passionate about applying ML to mobile games and real-world data challenges. Niantic is a leading mobile game developer known for groundbreaking real-world mobile gaming experiences. Our mission is to use new technologies to enrich the human experience and encourage exploration of the world around us. Titles like Pokémon GO, Pikmin Bloom, and Monster Hunter Now are just the beginning. We're looking for curious, creative, and purposeful minds to join us on our journey. Responsibilities * Craft and develop machine learning models that drive intelligent gameplay features, such as multifaceted content placement, player clustering, and geo-contextual personalization. * Leverage real-world data (geospatial, temporal, behavioral) to advise in-game decision-making and adapt to player environments in real time. * Partner with product and design teams to translate gameplay ideas into ML-powered systems. * Collaborate with data science and data engineering teams to optimize data pipelines for machine learning use cases. * Collaborate with product and data science teams to perform thorough experimentation, A/B testing, and model evaluation to measure product impact and feature efficiency. * Contribute to the design of ML infrastructure, tools, and workflows that support the lifecycle of models in production. * Required in-office 2 days on Tuesday and Wednesday. Qualifications * M.S. or Ph.D. in Computer Science, Machine Learning, Statistics, or related technical field. * 2+ years of experience developing ML systems in a production environment. * Proficiency in Python and ML libraries such as PyTorch, TensorFlow, Scikit-learn, or similar. * Experience with applied ML techniques such as supervised learning, clustering, or deep learning. * Strong analytical and problem-solving skills with a product mentality. * Ability to communicate technical concepts clearly to multi-functional teams. * Ability to work in a fast-paced hybrid environment and handle stress appropriately and/or ability to solve practical problems and be sufficiently adaptable to handle dynamic situations with little advance notice. * Experience working on cross-functional teams with ability to communicate effectively through written and verbal communications, including asynchronous interactions with others. Plus If... * Experience building ML features for mobile games or interactive applications. * Experience with modern data processing frameworks, e.g. Apache Beam or Apache Spark. * Exposure to active learning methodologies, recommendation systems and real-time model inference. * Experience with Cloud native model development environments, e.g. GCP or AWS. * Experience with common machine learning development tools or frameworks, e.g. Jupyter Notebooks, MLflow or Kubeflow. * Familiarity with geo-contextual modeling, map-based data, and temporal-spatial modeling techniques. * Solid understanding of geospatial data and location-based modeling challenges. For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience. CA, CO, NJ, NY, and WA Annual Salary Range $158,200 - $185,000 USD About Us Scopely is a global interactive entertainment and mobile-first video game company, home to many top, award-winning experiences such as "MONOPOLY GO!," "Star Trek Fleet Command," "Stumble Guys," "MARVEL Strike Force," and "Yahtzee With Buddies," among others. Scopely creates, publishes, and live-operates immersive games that empower a directed-by-consumer experience across multiple platforms--from mobile, web, PC and beyond. Founded in 2011, Scopely is fueled by a world-class team and a proprietary technology platform Playgami that supports one of the most diversified portfolios in the games industry. Recognized multiple times as one of Fast Company's "World's Most Innovative Companies," Scopely is a multi-billion-dollar business due to its ability to create long-lasting game experiences that players enjoy for years. Scopely has global operations in more than a dozen markets across Asia, EMEA, and North America, and is home to many internal game development teams, referred to as Scopely Studios, with additional game studio partners across four continents. Scopely was acquired by Savvy Games Group in July 2023 for $4.9 billion, and is now an independent subsidiary of Savvy. For more information on Scopely, visit: scopely.com Notice to candidates: Scopely, Inc and its affiliates will never request payment or ask for financial information as a condition for applying to a position or receiving an offer of employment. All official Scopely, Inc. recruiters only use email domains that end with @scopely.com. Our official website is **************** Please only apply to positions posted on our official website and ensure the recruiter only communicates via the official email domain. Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact **********************. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice. Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

WHO WE ARE We're Talking Rain Beverage Company, we create better-for-you beverages featuring great flavors and colors from natural sources. We live life in full flavor and believe the world should too. We create connections with every sip of our iconic Sparkling Ice, Sparkling Ice Caffeine, Sparkling Ice Energy, Popwell and MIXT. When it comes to success, we know we're only as strong as our team. That's why we're an equal-opportunity employer. We value diversity and practice inclusivity, hiring great people who enhance our company. Our Rain Makers are our most important asset. That's why we invest in them with benefits and development opportunities that reflect just how much we value them. Our Research & Development team is proud of where we've been, but more interested in where we're going. This team drives creativity, growing our portfolio of products. Here, you will apply your sensory expertise to lead consumer sensory testing, guide product development, and translate insights into opportunities for exceptional product experiences. Reports to: Manager, Research & Development Direct Reports: N/A Location: Onsite at our Preston, WA office 5 days a week *While we strive to offer flexibility, this role also requires it. There may be times when you're expected to come onsite outside your typical in-office days to support special projects, team events, or other business needs. Annual Bonus Potential: 7% - Eligibility is based on the company hitting annual financial targets. Base Salary: $70,000 - $95,000 (depending on experience) Note: New hires typically receive between minimum and midpoint, however, we may go slightly higher based on experience, internal equity and market. Design, execute, and analyze all internal and external sensory tests to support product development. Independently create standardized reports, develop clear written recommendations, presentations, graphs, and visualizations to communicate insights to guide cross-functional decision-making. Establish, train, and maintain internal sensory panels, ensuring consistency, reliability, and alignment with testing objectives. Deliver training to internal and external teams as needed. Demonstrate strong initiative and prioritization skills, with effective time management, organization, and problem-solving abilities. Maintain an organized internal sensory lab, supporting daily operations, efficiency, and ensuring compliance with food safety and quality standards. Establish cross-functional partnerships to define sensory program objectives, align on deliverables, and support product development goals. Manage relationships with external partners and consultants to support sensory goals. Lead the assessment and implementation of new sensory research methods to enhance capabilities, drive efficiency, and improve business performance. Help identify and screen emerging technologies that enable improved sensory experiences and support innovation. Ensure food safety, quality, and SQF practices are always followed, notifying immediate manager of any food safety and/or quality issues. Complete other responsibilities as assigned. We create connections with every sip. And we've found a lot of value in in-person connections! As a young, fast-growing company, we're still creating and refining the systems that will fuel our future growth. Onsite presence is beyond collaboration, and here is why onsite presence matters: Supports ad hoc and rapid-turn testing - Being onsite allows flexibility to conduct unplanned tests and provide real-time sensory input as new formulations or adjustments arise. Enables immediate cross-functional collaboration - Proximity to R&D, QA, and Operations teams allows for quick alignment and faster iteration on product improvements. Drives innovation through real-time observation - Hands-on evaluation and face-to-face collaboration spark new insights and more agile decision-making during development. WHAT YOU BRING Bachelor's degree in Food Science, Sensory Science, or related field required; Master's degree preferred. Equivalent experience considered. 4+ years of food sensory experience, including applied statistics and testing methodologies. 2+ years in product development preferred, ideally in the beverage industry. Strong organizational, communication and problem-solving skills. Working knowledge of food science principles, sensory methodologies, food manufacturing Ability to work independently, collaborate with stakeholders, manage multiple priorities, and build cross-functional relationships. Please note, this role is safety sensitive. This means that as part of your core responsibilities you will be regularly responsible for your own safety and/or the safety of others (e.g., driving on behalf of the company, working in a warehouse/plant environment). Rain Makers are people who are accountable, curious, and inclusive. We hold ourselves accountable and recognize room for growth while openly accepting feedback. We embrace change to deliver progressive results. Rain Makers don't wait for answers - we go find them. Curiosity is part of what makes us so successful. Sometimes we push back, productively challenging the status quo. We promote inclusivity . Valuing communication and respect, ensuring everyone has a seat at the table. We are an approachable bunch, building and fostering relationships with people of all backgrounds. WHAT WE OFFER Nothing makes a great job even better than throwing in a few perks, and we want to equip our Rain Makers with everything they need to maintain their health and well-being. That means things like... Three Weeks of Vacation. And that's just to start! Spend some time with us, and you'll accrue an additional week every few years, depending on your exempt status! FMLA qualifying Rain Makers receive six weeks of paid parental leave. Parents get to spend time at home bonding with their new addition (whether it arrives by birth, fostering, or adoption). For birth mothers, additional time is provided for medical leave. Depending on the state in which you reside, additional time may also be available for parents who do not require medical leave. Flexibility Stipend. For eligible Rain Makers, spend this extra monthly stipend as you wish, but know it's intended to contribute to things like your phone, internet or other business uses while working remotely or needs outside of normal working hours. Relocation: Relocation Available (when available) Onsite and Hybrid Employees: Get paid to carpool! Drive to work with another Rain Maker every week at least 2X a week and receive $0.25 per mile. 401k with Immediate Vesting. With matched contributions and investment customization, we'll help build a plan to reach your goals. Fitness Reimbursements. We're all about going the extra mile, so we provide reimbursements for community events and competitions like fun runs, triathlons, and cycling tours. Employees may also enjoy access to our on-site gym in Preston complete with a personal trainer 2 days per week. Medical/Dental/Vision. Not only do we offer it, but our plans are excellent and flexible to your needs. And one is even free for our Rain Makers! Vehicle Program - Field Sales Specialist - Mileage is reimbursed at the IRS rate Field Sales Managers and Market Managers - Company car or vehicle stipend included! Regional Sales Managers and Sales Directors - We use the leader in vehicle reimbursement solutions, Motus. This program provides a monthly fixed and variable rate that adheres to IRS guidelines for the business use of personal vehicles. Please note, eligibility for our full benefits package is based on an average of 30+ hours per week in regular (not temporary) positions. Want to get to know us better? Click to learn about us and our careers. You can also follow us on LinkedIn, Glassdoor, Instagram, and Facebook.

Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity. The Kuiper Global Capacity Planning team owns designing, implementing, and operating systems that support the planning, management, and optimization of Kuiper network resources worldwide. We are looking for a talented scientist to implement Kuiper's long-term vision and strategy for capacity simulations and inventory optimization. This effort will be instrumental in helping Kuiper execute on its business plans globally. As one of our valued team members, you will be obsessed with matching our standards for operational excellence with a relentless focus on delivering results. Key job responsibilities In this role, you will: Work cross-functionally with product, business development, and various technical teams (engineering, science, R&D, simulations, etc.) to implement the long-term vision, strategy, and architecture for capacity simulations and inventory optimization. Design and deliver modern, flexible, scalable solutions to complex optimization problems for operating and planning satellite resources. Contribute to short and long terms technical roadmap definition efforts to predict future inventory availability and key operational and financial metrics across the network. Design and deliver systems that can keep up with the rapid pace of optimization improvements and simulating how they interact with each other. Analyze large amounts of satellite and business data to identify simulation and optimization opportunities. Synthesize and communicate insights and recommendations to audiences of varying levels of technical sophistication to drive change across Kuiper. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience using Unix/Linux - Experience in professional software development 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.

Atlas is a nationwide leader in civil engineering materials testing and geotechnical consulting services for environmental industrial and infrastructure construction projects Headquartered in Denver CO Atlas currently has over 3500 employees with offices throughout the US including Alaska & Hawaii Its no accident that Atlas creates a better experience for infrastructure and environmental projects Its how we are built with the best people in the industry with the reach and expertise to help at any and every step of the project and with a heart led approach that puts quality and safety at the center of everything we do Were just built to be better We are a great company We are seeking an Environmental Scientist to join our Seattle WA team Come join us Job responsibilities include but are not limited to Perform soil and groundwater sampling for subsurface assessment and remediation projects Oversee drilling and log soil samples Compile detailed well organized datafield notes and photographs Prepare reports including analysis of data and development of conclusions and recommendations Prepare chain of custody forms for analytical testing and record survey data on approved forms Travel locally and regionally in the Pacific Northwest to project sites using company vehicle Implement Atlas health and safety policies and procedures Perform field work related to environmental due diligence remediation industrial hygiene and Brownfields projects in the Seattle area and the Pacific Northwest region Work closely with regional management to perform requested clientproject tasks in both a field and office setting Positively interact with internal and external clients service partners and contractors Promote a safety first culture that values proactive measures and continuous improvement Collaborate with other team members toward a common goal of providing client centric services with high quality interactions and deliverables Embrace and model the Atlas core values including trust mastery heart and life Manage assigned project tasks on time within scope and within budget in a safe manner Perform routine maintenance of field equipment utilized by the Seattle office Assist with cost estimating and procurement of equipment and parts Willingness to be cross trained for other environmental assignments as projects are awarded Minimum requirements Atlas is currently seeking a staff or project level Environmental Scientist for our Seattle Washington office supporting current and upcoming projects in our Washington and Pacific Northwest RegionThe ideal candidate will have good technical and organizational skills and be able to work independently on assigned project tasks with limited supervision Preference will be given to candidates with a university or college degree in environmental science geology or other applied science or a high school diploma with several years of applicable experience in a similar role with an environmental or engineering consulting firm Position includes the performance of Phase I and Phase II Environmental Site Assessments; environmental compliance audits; soil vapor and groundwater sampling; stormwater compliance sampling; andor mold indoor air quality investigations lead inspections asbestos air monitoring and asbestos surveys for private and public sector clients Technical requirements Preferred candidate will be 40 hour HAZWOPER trained with 8 hour annual refreshers completed Preferred candidate will also have a working knowledge of United States Environmental Protection Agency and State of Washington environmental regulations and standard procedures and methodologies related to due diligence site investigation remediation industrial hygiene andor environmental compliance projects State of Washington certifications preferred as applicable Candidate should be proficient with the Microsoft Office Suite Word Excel and PowerPoint and possess excellent report writing time management and problem solving skills Proficiency in CADD andor GIS is also considered a plus Candidate must possess the ability to work independently and efficiently with minimal supervision and as part of a professional team to meet organization and project objectives Candidate must also be able to pass a standard drug screen and motor vehicle background check Other miscellaneous qualities Ability to travel primarily within Washington but also within Atlas Pacific Northwest RegionDependable organized detail oriented and resourceful Positive flexible team oriented approach with the willingness and desire to work as part of a multi disciplinary professional team Ability to work efficiently and independently Benefits Atlas offers a comprehensive benefit program to meet the diverse needs of our employees Depending on your employment status Atlas benefits include health dental vision life AD&D voluntary life AD&D disability benefits leaves of absence 401k paid time off paid holidays employee assistance program educational assistance program Who We Are We strive to be the most sought after infrastructure and environmental solutions company known for our unique values driven approach and brought to life by the industrys most exceptional people Atlas provides professional testing inspection engineering environmental and consulting services from more than 100 locations nationwide We deliver solutions to both public and private sector clients in the transportation commercial water government education and industrial markets With a legacy of providing consistent quality and results Atlas creates a better experience at every stage of an infrastructure project We connect the best experts in the industry to deliver value from concept to completion and beyond This means doing everything our clients expect and then raising the expectations in a way that only our people can Our Values Life We enhance quality of life We value people and safety above all else Heart As our hallmarks we act with compassion empathy and respect Trust We work together as partners doing what we say with full accountability Mastery Always striving for the highest quality we ensure greatness inspires all our work Atlas EEOC Statement Atlas is an equal opportunity employer We prohibit discrimination and harassment of any kind based on race color sex religion sexual orientation national origin disability genetic information pregnancy or any other protected characteristic as outlined by federal state or local laws This policy applies to all employment practices within our organization including hiring recruiting promotion termination layoff recall leave of absence compensation benefits training and apprenticeship Atlas makes hiring decisions based solely on qualifications merit and business needs at the time For more information read through our EEO Policy httpswwweeocgovsitesdefaultfiles2023 0622 088EEOCKnowYourRights612ScreenRdrpdf LI KS2

Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London. About the Role As an AI Scientist, you will have prior experience in developing and implementing new deep learning methods while upholding a track record of AI Innovation demonstrated through publications in Artificial Intelligence/Machine Learning or projects applying them to interdisciplinary fields. You will be a crucial member of our core AI team, comprising highly creative and talented peers who are all experts in developing state of the art AI models. With your team, you will initiate and drive new projects that advance the SOTA AI models for biology impacting drug discovery and clinical development. You will also have the chance to work closely with interdisciplinary experts with world-class biology, drug discovery, and clinical expertise We welcome candidates with diverse backgrounds and experiences. Whether you are an entry-level candidate eager to learn and grow, a mid-level professional seeking new challenges, or a seasoned expert looking to make a significant impact, we encourage you to apply. The role is open to the following locations: San Francisco Bay Area, Seattle and London. Qualifications Track record of AI Innovation demonstrated through publications in Artificial Intelligence/Machine Learning or projects applying them to interdisciplinary fields Experienced in developing and implementing new deep learning methods Experienced in PyTorch, training and inference of large models on GPUs Scientifically curious with an interest to work on interdisciplinary teams PhD in Computer Science/Artificial Intelligence/ Machine Learning or related technical fields 3+ years of work experience post-PhD in an industrial setting or equivalent academic post-doctoral experience Peer reviewed published research in developing AI methods (example in ICLR, NeurIPS, ICML, Nature, Science, Cell etc.) Experience in working at the interface of AI and Biology Experience working on large scale distributed training and inference Experience communicating research for public audiences of peers Participation in the open-source community Compensation We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $120,000 - $240,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience. Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end. TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

MANDATORY TOP SECRET/SCI SECURITY CLEARANCE REQUIRED Understand and improve the judgment and decision making of individuals, groups, and organizations. Apply principles of psychology to business, analytic and other decision-making processes to improve and empirically evaluate those processes. Activities may include assisting in policy planning; workflow procedures testing and evaluation, analytic workflow redesign, training and development. May work with management to prescribe workflow modifications that improve worker productivity and analytic judgment. Assist Supply Chain Risk Management-Threat Analysis Center (SCRM-TAC) leadership with empirical evaluations on the Division's business and analytic processes in order to inform workflow design and processes that improve work productivity. Incumbent will routinely provide Division leadership with the results of this analysis to inform resource and prioritization decisions. Position Description Duties: Improve data management and analytic workflows through tool modernization Create various machine learning/artificial intelligence-based tools or processes, such as recommendation engines or automated lead scoring systems Perform statistical analysis, apply data mining techniques, and build high quality prediction systems Employ mathematics, statistics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data compression, and data protection to correlate complex, technical findings into graphical, written, visual and verbal narrative products on trends of existing intelligence data to leverage other IC data sources Develop and utilize machine learning and data mining algorithms, including, but not limited to, prediction algorithms based on open-source capabilities Integrate or code algorithms to support Government intelligence search and discovery missions Assist the Government in the development, execution and instruction of an analytic tradecraft, analytic writing and design training program Assist the Government in gathering after action reports, meeting minutes and trainee feedback to continue to refine the program. Perform other related duties at the direction of the Government At the discretion of the Government support DoD SCRM training requirements CONUS and OCONUS Required Skills, Abilities, Education and Experience Have the technical skills, knowledge, and experience to accomplish the work with minimal oversight Be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, SQL, or VBA depending on the use case; statistical analysis; and data mining algorithms Be proficient in the use of cloud-based platforms (Amazon Web Services etc) to perform data science tasks Have at least seven years' experience programming, operating, or maintain databases (e.g. SQL Server and/or Microsoft Access) Have at least seven years' experience applying quantitating and qualitative research methods, including data mining and analysis Experience with the DoD's Operations Research/Systems Analysis (ORSA) or Research Analyst functional area Army (FA-49) Civilian (1515) Navy (3211) Air Force (15A) highly desired Contingent on contract award

Role Description Senior Scientist/Principal Scientist - Clinical Veterinarian Kalamazoo, Michigan is the world headquarters for Veterinary Medicine Research and Development (VMRD) for Zoetis. The Kalamazoo/Richland Veterinary Service group, within Global Animal Science and Welfare, at Zoetis, has the mission and responsibility of developing and implementing the program of veterinary care and providing veterinary support to VMRD projects at the Richland and Kalamazoo sites. We are seeking an experienced, innovative and highly motivated veterinarian to contribute towards delivering an exceptional animal care program as well as partnering with VMRD researchers to produce high quality research studies. EDUCATION AND EXPERIENCE: * Suitable candidates will have a DVM/VMD from an accredited College of Veterinary Medicine and a minimum of 3 years of experience in clinical veterinary practice with a primary focus on livestock (horses, cattle, swine, small ruminant, poultry), companion animal medicine and surgery, and familiarity with traditional lab animal species (rats, mice, guinea pig) * Licensed to practice in at least one state with the expectation to become licensed in Michigan * Federally accredited or the ability to become federally accredited. * Strong hands-on expertise in a range of animal techniques including handling, restraint, dosing, venipuncture, clinical examination and diagnosis, dental surgery, minor surgical procedures and necropsy. OTHER DESIRABLE ATTRIBUTES * Previous experience in research setting as a clinical veterinarian. * A diplomate of the American College of Laboratory Medicine (DACLAM) * Experience with development of animal models for research. * Experience working in biocontainment facilities and development of biosecurity programs. * Additional academic training in an allied field (infectious diseases, immunology, epidemiology). * Knowledge of animal welfare compliance oversight * Experience working in animal programs regulated by USDA APHIS and visited by AAALAC. * Network of research veterinarians and/or experts in a variety of veterinary disciplines. * High motivation, demonstrated initiative, independent and flexible in thinking, strong interpersonal skills, and attention to detail. * Strong documentation, writing, teaching and oral communication skills. * Experience with multiple software platforms, including electronic data capture and data management. * Experience with livestock and/or traditional lab animal species POSITION RESPONSIBILITIES: Primary responsibility is to provide clinical veterinary support to research animals at the Richland and/or Kalamazoo sites in support of VMRD. Clinical Veterinary responsibility includes but is not limited to: * development and/or implementation of population medicine programs and preventive medicine procedures * provision of training to animal care technicians and/or study personnel * study oversight by reviewing protocols and ensuring compliance with approved procedures * attendance and participation in pre-study activities * preparation of health certificates * assessment of animals prior to shipment and after receipt * authoring and reviewing SOPs * performing necropsies * serving as a non-voting Institutional Animal Care and Use Committee ad hoc member (ex. Animal Use Protocol review, semiannual facility inspections) * participate in veterinary on-call duty on weekends and holidays on a rotational basis * participation in facility design/renovation planning * Additional responsibilities may include: providing support to the Animal Welfare and Compliance Team by assisting with animal welfare audits of animal suppliers and contract research organizations; and participating in internal and external animal welfare audits (AAALAC International, USDA, and internal audits.). ADDITIONAL INFORMATION: * Work environment: The person filling this position will work with research scientists, study monitors, line managers and technical staff. May be required to work with zoonotic and animal pathogens and chemicals. There may be handling of zoonotic organisms and working in BSL-2 and BSL-3 facilities requiring shower in/out procedures. * Veterinary support is about 25% in support of research projects and 75% in support of the animal care program. * Participate in veterinary on-call duty on weekends and holidays on a rotational basis including some work outside of core business hours. * Some travel (10%) to off-site locations may be required * Support for tuition reimbursement, continuing education and career development is available. Full time Regular Colleague Any unsolicited resumes sent to Zoetis from a third party, such as an Agency recruiter, including unsolicited resumes sent to a Zoetis mailing address, fax machine or email address, directly to Zoetis employees, or to Zoetis resume database will be considered Zoetis property. Zoetis will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Zoetis will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. This includes any Agency that is an approved/engaged vendor but does not have the appropriate approvals to be engaged on a search. Zoetis is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status or any other protected classification. Disabled individuals are given an equal opportunity to use our online application system. We offer reasonable accommodations as an alternative if requested by an individual with a disability. Please contact Zoetis Colleague Services at ********************************** to request an accommodation. Zoetis also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must possess or obtain authorization to work in the US for Zoetis. Zoetis retains sole and exclusive discretion to pursue sponsorship for the acquisition or maintenance of nonimmigrant status and employment eligibility, considering factors such as availability of qualified US workers. Individuals requiring sponsorship must disclose this fact. Please note that Zoetis seeks information related to job applications from candidates for jobs in the U.S. solely via the following: (1) our company website at ********************** site, or (2) via email to/from addresses using only the Zoetis domain of "@zoetis.com". In addition, Zoetis does not use Google Hangout for any recruitment related activities. Any solicitation or request for information related to job applications with Zoetis via any other means and/or utilizing email addresses with any other domain should be disregarded. In addition, Zoetis will never ask candidates to make any type of personal financial investment related to gaining employment with Zoetis.

* 3+ years of building models for business application experience * PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience * Experience programming in Java, C++, Python or related language * Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing * Experience building machine learning models or developing algorithms for business application * Experience using Unix/Linux Roles & Responsibilities: * Use deep learning, ML and NLP techniques to create scalable solutions for creation and development of language model centric solutions for building personalized assistant systems based on a rich set of structured and unstructured contextual signals * Innovate new methods for contextual knowledge extraction and information retrieval, using language models in combination with other learning techniques, that allows effective grounding in context providers when considering memory, compute, latency and quality * Work on integration with GenAI models with customer's event management tracking tool. AI Translation/Transcription (such as NovaSonic from AWS) within AWS Connect to generate real-time notes within customer's event management tracking tool. * Research in advanced customer understanding and behavior modeling techniques * Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in personal knowledge aggregation, processing, modeling, and verification * Design and execute experiments to evaluate the performance of state-of-the-art algorithms and models, and iterate quickly to improve results * Think Big about the arc of development of conversational assistant system personalization over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems * Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports TCS Employee Benefits Summary: * Discretionary Annual Incentive. * Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. * Family Support: Maternal & Parental Leaves. * Insurance Options: Auto & Home Insurance, Identity Theft Protection. * Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. * Time Off: Vacation, Time Off, Sick Leave & Holidays. * Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-RJ2 Salary Range - $120,000-$200,000 a year

Jubilant HollisterStier LLC, a well-established member of the business community in Spokane, Washington, provides a complete range of services to support the pharmaceutical and biopharmaceutical industries. The Allergy business is a worldwide leader in the manufacture of allergenic extracts, targeted primarily at treating allergies and asthma. Jubiant HollisterStier is also a nationally recognized contract manufacturer of sterile injectable vials, and lyophilized products. Jubilant HollisterStier is a proud member of the Jubilant Pharma family. Our Promise: Caring, Sharing, Growing We will, with the utmost care for the environment and society, continue to enhance value for our customers and stakeholders by providing innovative products and economically efficient solutions' through growth, cost effectiveness and wise investment of resources. Job Description: The EM Compliance Scientist II is responsible for the qualification, repair, maintenance and compliance of laboratory instruments and software. * Perform preventative maintenance and qualification activities on laboratory instrumentation as directed. * Implement appropriate computer operating system permissions to laboratory equipment workstations in order to comply with regulatory requirements. * Diagnose laboratory equipment issues and perform the necessary maintenance to return equipment to a compliant functionality. Assist in other forms of troubleshooting as directed by the Supervisor. * Prepare acceptance reports for laboratory equipment. * Complete core training per procedures. * Adhere to the pertinent aspects of plant safety programs and in keeping with GMP's or other regulations. * Maintain and operate laboratory equipment to assure accuracy and confidence in performance. * Perform computer systems backup as required and ensure data integrity is maintained. * Create new procedures as needed. * Participate in direct internal and/or external client interactions. * Perform special assignments as directed by Supervisor. * Coordinate and lead group projects related to laboratory compliance and equipment. Qualifications: * Associates Degree of Science with minimum 2 years of experience required * Bachelor's Degree of Science Major(s): Chemistry, Biology, or related hard science desired * 2 to 4 years related experience required * Pharmaceutical and FDA Regulated Industry Experience desired * Laboratory Experience (3 years) desired * Proficiency in troubleshooting instruments and/or a mechanical aptitude desired * Proficiency with Microsoft Operating systems as well as general understanding of software and database configuration desired * Specific Coursework: Any emphasis in computer related systems desired * Microsoft Word and Microsoft Excel experience required * Mechanical Aptitude required * Manual Dexterity required * Knowledge, practical application, and understanding of analytical instrumentation is necessary to perform the functions of this position. The incumbent must have an ability to utilize scientific and or technical literature, and to make effective written and oral reports that are clear, accurate, and logical. A working knowledge of chemistry, statistics, computer-assisted data processing, and good-manufacturing practices is desirable. Must demonstrate initiative and a willingness to learn. * Ability to lift 25 pounds unassisted required * Exposure to Allergens required * Repetitive Activity, prolonged sitting and standing required Shift: Weekday Days Compensation & Benefits: This is an on-site, full-time position located in Spokane, WA. * Hiring Wage: $ 30.99- $41.93/hr. depending on experience, with opportunity for growth, promotion and annual raises. Midpoint and above is reserved for employees who have longevity with Jubilant HollisterStier and consistently exhibit outstanding performance over a period of time in the role * Role follows the ABU holiday schedule * Medical, Dental, Vision, Flexible Spending and Health Savings Accounts * Life, AD&D, Short and Long Term Disability * 401(k) with company match * Generous paid time off plan * Employee Assistance Program Unlock your potential with Jubilant HollisterStier! If you're seeking a dynamic and rewarding career, we welcome your application today! ******************************** * Please click on the Spokane, Wa. Link* Jubilant HollisterStier is an EEO/AA Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you require assistance applying for a position, please contact our HR Department at: ******************************

About use184 is a biotechnology research company advancing in vitro gametogenesis to transform reproductive medicine. We're developing integrated platforms that combine cellular reprogramming, machine learning-guided optimization, multi-omics analysis, and automated experimental workflows to enable gamete development for individuals facing reproductive challenges. We're assembling interdisciplinary teams across cell and molecular engineering, synthetic biology, epigenetic editing, bioinformatics and computational biology to tackle one of biology's most impactful problems - returning the fundamental right to procreate. Role overview We are seeking an expert Bioinformatician to lead computational analysis for our cellular reprogramming research program. This position will support critical objectives in high-throughput screening analysis, single-cell multi-omics, and predictive modeling for transcription factor-mediated cell fate conversion, working directly with the experimental team to guide screening strategies. Primary responsibilities Build and maintain version-controlled repositories harmonizing publicly available datasets (sc RNA-seq, bulk RNA-seq, ChIP-seq, CUT&RUN, ATAC-seq) Establish and manage AWS cloud computing infrastructure from scratch for large-scale data processing Analyze single-cell and single-nucleus RNA-seq/ATAC-seq data from raw reads through biological interpretation Process and analyze barcoded screening datasets from CRISPRa/i and other libraries for factor identification Perform trajectory inference, RNA velocity, and gene regulatory network analysis for cellular state transitions Contribute to developing predictive models for transcription factor combinations using multi-omics integration Create automated analysis pipelines and quality control frameworks for high-throughput experiments Build data visualization and reporting systems for cross-functional collaboration Analyze Perturb-seq and pooled screening data with barcode deconvolution Required qualifications PhD in Bioinformatics, Computational Biology, or other quantitative field with 3+ years relevant experience Demonstrated expertise analyzing sc RNA-seq and sc ATAC-seq from raw reads (FASTQ to biological interpretation) Proven experience building and maintaining version-controlled multi-dataset repositories Strong proficiency in R and Python with experience in single-cell analysis frameworks (Seurat, Scanpy) Hands-on experience establishing AWS cloud computing environments from scratch Experience building automated analysis pipelines using workflow management systems (Nextflow, Snakemake) Expertise with trajectory inference tools (Monocle, RNA velocity) and gene regulatory network analysis (SCENIC, CellOracle) Experience with Perturb-seq analysis and pooled screening data deconvolution Familiarity with multiple sc RNA-seq platforms beyond 10X Preferred qualifications Track record of novel computational method development Experience with chromatin accessibility analysis and transcription factor motif enrichment methods Background in predictive modeling for cellular reprogramming applications What we offer Competitive compensation, equity participation, and comprehensive benefits Collaborative and supportive culture with mission-driven colleagues working on high-impact cellular engineering challenges Opportunity to build pioneering technology platform with high therapeutic potential DisclaimerThe above is intended to describe the general nature and level of work being performed by individuals assigned to this position. It is not intended to be an exhaustive list of all duties, responsibilities, and skills required. Responsibilities and duties may change or be adjusted to meet the needs of the company, and additional duties may be assigned as necessary. The job description is subject to change at any time at the discretion of e184. 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.