Research Scientist Jobs in Clovis, CA

Voltai's mission is to re-build the physical world through developing super-intelligence to accelerate the pace of hardware innovation. Our focus is to build frontier models that could understand one of the world's most complex technologies-semiconductors and electronics. About the Role We're looking for a Machine Learning Research Scientist who thinks crazy ideas are normal, doesn't take ‘No' as an answer, and thrives on the bursts of dopamine that come with startup responsibilities. As a Machine Learning Research Scientist, your ultimate goal will be to conduct cutting-edge research and build AI systems that deeply understand and innovate within the semiconductor and electronics domains, serving our customers 🙌. You will be responsible for developing new models, experimenting with novel architectures, and advancing the state of the art in AI for the semiconductor and electronics industries. Your work will involve both theoretical research and practical implementation, including designing and optimizing models, creating advanced algorithms, and publishing groundbreaking research. Key Responsibilities: Conduct original research in machine learning and AI with a focus on models that integrate multiple modalities. Develop, train, and fine-tune large language models (LLMs) and multi-modal models (MMMs). Explore and scale trillion-parameter neural networks, along with smaller, specialized models. Design and implement models capable of solving discrete and continuous constraint reasoning tasks and graph-related challenges. Develop and evaluate interconnected systems comprising LLMs, NLP models, and retrieval algorithms. Publish research findings in top AI conferences and journals, contributing to the academic and industry community. Collaborate with cross-functional teams to translate research outcomes into practical applications. Innovate and create data synthetically and collect it from human interactions for diverse tasks. Lead efforts in optimizing both open-source and proprietary models, considering various constraints. Required Skillsets: Strong background in machine learning, including sequence modeling, generative models, and model architecture. Expertise in Pytorch, Python, CUDA, and Triton. Proven research experience with a strong publication record in top AI conferences and journals. Deep understanding of pre-training and fine-tuning large multi-modal models. Experience implementing research papers into production code. Familiarity with the latest state-of-the-art techniques, including prompting and inference-time search methods. Experience in developing and managing large-scale machine learning systems. Proficiency in configuring and optimizing hardware and operating systems for maximum performance. Experience building distributed training systems for AI models in high-performance computing (HPC) clusters. Compensation Philosophy At Voltai, we believe that exceptional work deserves exceptional rewards. Our compensation structure is designed to reflect the value each team member brings to our pioneering efforts in the semiconductor and AI industries. For this role, we offer a highly competitive market-rate salary, tailored to the candidate's experience, expertise, and potential impact. Our approach ensures that compensation aligns with individual contributions and the long-term success of our mission. Our Benefits At Voltai, we believe in taking care of our team so they can focus on pushing the boundaries of innovation. Our benefits package is designed to support your well-being and fuel your professional growth. Unlimited PTO: We trust you to manage your time and know when you need a break. Recharge when you need it, no questions asked. Comprehensive Health Coverage: Your health matters. We offer top-tier medical and dental insurance to keep you and your loved ones covered. Commitment to Your Growth: At Voltai, we're dedicated to your continuous learning and development. Whether it's through challenging projects or opportunities for professional advancement, we invest in your journey to becoming a leader in your field. Visa Sponsorship: We support international talent and offer visa sponsorship to help you join our team, no matter where you are in the world.

Applied Scientist of Formal Methods Are you passionate about pushing the boundaries of AI and formal verification? Acceler8 Talent is looking for an Applied Scientist to join a startup team working at the intersection of automated reasoning and AI. In this role, you'll contribute to the development of cutting-edge neuro-symbolic AI systems that leverage the power of formal verification and modern machine learning techniques. As an Applied Scientist of Formal Methods, you'll design and implement innovative formal verification tools and techniques, prototype and validate neuro-symbolic reasoning approaches and develop high-performance systems based on your validated prototypes. Collaborating closely with researchers and engineers, you'll tackle complex verification challenges and make a significant impact on the future of AI-powered verification. A strong candidate will have: Strong background in formal methods and automated reasoning (e.g., SAT, SMT, model checking, logic, and automata) Proficiency in writing production-quality code in statically typed languages like C++, Rust, or Java Experience with rapid prototyping, ideally in Python Demonstrated expertise in algorithm design and implementation Exceptional problem-solving and analytical abilities Preferred Qualifications: PhD in Computer Science, Mathematics, or a related field with a focus on formal methods (or equivalent deep expertise) Experience with hardware verification languages and standards (e.g., SystemVerilog, PSL, SVA) Familiarity with modern machine learning techniques and frameworks

Applied Scientist (Senior/Staff/Principal) We are looking for a passionate and driven Research Scientist to join an impressive applied research company in the Bay Area. In this role, you will lead pioneering research efforts, design benchmarks, and develop advanced agent architectures. This position is perfect for someone eager to push the boundaries of AI and contribute to the development of innovative digital systems. Key Responsibilities: Conduct in-depth research and analyse scientific papers to inform new approaches. Design and implement benchmarks for assessing AI performance. Develop and refine agent architectures to drive cutting-edge advancements. Execute experiments to validate hypotheses and enhance system capabilities. Collaborate closely with a multidisciplinary team to align research efforts with strategic goals. Stay abreast of the latest breakthroughs in AI and related technologies. Skills and Qualifications: PhD in a computational or related field, with substantial research experience. Strong proficiency in programming (particularly Python) and machine learning. Deep knowledge of areas like computer vision, reinforcement learning, robotics, or NLP. Independent thinker with excellent problem-solving skills and a creative mindset. Ability to work collaboratively while bringing fresh ideas to complex challenges. For more information, please apply and we shall be in touch promptly! We look forward to hearing from you

Backed by T1 AI investors (Andreeson Horowitz), you will join a crack research team of ex Skolkovo Institute of Science and Technology, Stanford, Google, Intel, Salesforce) to build a multimodal text to video application for real-time retail. They are playing in a $13 trillion industry and are reacting to fashion's landscape, shaped by a relentless pursuit of speed, creativity, and the continuous renewal of trends. Most brands are hindered by manual workflows, juggling disparate tools. This startup has anticipated a tech shift to unlock lengthy creative bottlenecks and level the landscape for all. Enter Generative AI. As a senior applied scientist, you will have deep skills in fine-tuning foundational multi-modal text to video models (or fine-tuned existing ones). At the bare minimum, you know how a foundational model works from ideation to implementation! Having a diffusion background is preferred, but we can riff with you if you come with a GANs background. We're also happy if you've done some cool things with image generation or image editing. We have just raised significant investment from big AI players, with a burn rate of 7 years, and a single-digit million ARR, just ask about the existing client list. Offices in NYC & SF!

Job Title: Consumer Insights Researcher Client: Fortune 5 Company -35834879 Duration: 6 months Pay Rate: $40 to 44.00 hr w2 or max We're looking for someone who's able to conduct in-house primary research from the ground up using DYI platforms and tools, and has experience managing vendors for more in-depth research projects. This is an opportunity for a resourceful, creative, and organized individual to work across a multitude of methodologies and data sources, tell holistic stories, and impact the future of Beats by Dre. Key responsibilities: Manage the brand & ad tracking survey: stay on top of campaign and product launches, track the assets, share survey updates with the vendor, handle adhoc data requests, etc. Write and program quant surveys from scratch, analyze the Excel data, and produce reports with quick turnarounds Write discussion guides, and analyze qual insights- Oversee admin (vendor onboarding, purchase orders, tracking research budget) and vendor management tasks Write RFPs and review proposals from agencies Synthesize youth and cultural trends, and write a weekly roundup Help create story-driven reports that are easy to digest and actionable Write queries for social listening, pull and interpret the data Support other teams as needed in tracking earned media moments Key qualifications 4+ years of market research experience - ideally on both the agency and client side Experience writing and programing quantitative surveys from scratch, knowing how to ask the right questions in the right way Experience writing qual screeners and discussion guides is preferred Strong organizational and project management skills, attention to detail Naturally curious and passionate about uncovering consumers' underlying motivations - digging deep into the data, leaving no stone unturned, and questioning insights Fast learner - ability to learn new methodologies, platforms, and tools, and work with Apple Keynote, Pages, Numbers Resourceful, flexible, and able to think creatively and out-of-the-box Growth mindset, willingness to learn and grow, and ability to take feedback Superior verbal and written communication skills, building and maintaining excellent relationships with stakeholders/vendors Proactive, can-do attitude Thank you,

Clear Skies is incubating a stealth venture that uses an AI-powered platform to serve major stakeholders in private equity. We operate at the intersection of finance/AI to optimize deal flow, automate decisioning, and integrate networks into a seamless customer journey. Our team is composed of seasoned professionals from private equity, financial advisory, human capital, and AI engineering. We are seeking a Founding Head of AI Products to spearhead the development of AI-driven solutions that redefine how investments are sourced, evaluated, and executed. You will define the product and lead AI initiatives to solve real-world problems in a multi-billion-dollar industry. Key Responsibilities: Product Strategy Execute AI product strategies for market fit and business impact. Analyze customer needs and competitive landscape to uncover new product opportunities. Build business cases with market analysis, ROI projections, and scalability assessments. AI Product Development Define features and workflows to gather customer feedback and iterate on MVP development. Build AI-powered engines to transform large-scale unstructured data into actionable intelligence. Implement NLP techniques for semantic search and keyword matching from unstructured data. Utilize embedding models for vector-based search and context understanding. Workflow Automation Establish scalable AWS-based infrastructure and data pipelines. Develop automated communications, scheduling, and self-service AI tools. Implement best practices for AI model versioning, monitoring, and optimization. Leadership & Collaboration Lead and mentor AI and product teams, promoting innovation and learning. Collaborate with business leaders to align AI strategies with goals. Define and track KPIs to measure product success and guide development. Key Qualifications: 10+ years in product leadership with focus on AI/ML platforms and generative AI technologies. Expertise in AI/ML frameworks (TensorFlow, PyTorch, etc.) and cloud infrastructure. Experience in financial services or private equity is a plus. Application Process: Interested candidates are invited to submit their CV and cover letter detailing relevant experience and qualifications to ***************************. About Clear Skies: Clear Skies is a private equity investment firm that acquires middle-market businesses. We partner with management teams to drive growth and value through our global networks.

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day, our members use our products to make connections, discover opportunities, build skills, and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters at the cutting edge of AI. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Job Description: As a Staff AI Scientist, you will play a pivotal role in advancing LinkedIn's efforts in cutting-edge AI research and development, focusing on large-scale foundation models and AI innovations. You will specialize in developing, training, and optimizing foundation models, including Large Language Models (LLMs), utilizing state-of-the-art deep learning architectures such as multi-billion parameter transformers and scaling them to serve LinkedIn's global user base. Your work will involve the design and deployment of high-performance AI systems, leveraging GPUs and other hardware accelerators for large-scale training and inference. You will collaborate with a world-class team of researchers and engineers to develop and advance the next generation of AI models to push the boundaries of AI at scale, working on complex problems such as distributed training, model parallelism, and system co-design. A successful candidate will be comfortable operating at the intersection of AI research and engineering, with a deep understanding of the latest advancements including but not limited to large model training, post-training techniques for planning and reasoning, fine-tuning strategies, reinforcement learning techniques. Responsibilities: • Lead and contribute to the research, design, and development of large-scale foundation AI models, focusing on LLMs, transformer architectures, and cutting-edge AI systems. • Publish the findings and innovations as the latest academic and industry research in top notch core AI venues such as ICML, NeurIPS, ICLR, ACL,, patents, and conferences as appropriate. • Stay abreast of the latest academic and industry research, applying relevant findings to improve LinkedIn's AI capabilities. • Innovate in large-scale model training, leveraging GPUs and specialized hardware for optimal performance. • Develop and maintain scalable AI pipelines, optimizing training and inference workflows to handle vast amounts of data. • Mentor junior engineers and contribute to team growth and knowledge sharing. • Collaborate with cross-functional teams of machine learning engineers, infrastructure engineers, and AI researchers to deliver impactful AI innovations across LinkedIn's products. Basic Qualifications: • Bachelor's degree in Computer Science or related technical field or equivalent practical experience • 4+ years of experience with programming languages such as Java, Python, etc. • 4+ years of experience in machine learning or AI engineering. • 4+ years of experience in the design and development of algorithmic solutions. Preferred Qualifications: • 6+ years of hands-on experience in large-scale model training, model-system co-design, or large AI systems. • PhD in Computer Science, Machine Learning, or a related technical discipline with a focus on advanced AI/ML techniques • Proven experience in building and optimizing large-scale AI/ML models using frameworks such as PyTorch, PySpark, and CUDA. • Proven track record of publications in top notch core AI venues including but not limited to ICML, NeurIPS, ICLR, ACL. • Expertise in distributed training, model parallelism, and hardware acceleration for AI workloads, including GPUs and TPUs. • Demonstrated ability to solve complex AI challenges in large-scale environments, optimizing models for efficiency and scalability. • Strong proficiency in AI system design, model optimization, and the development of production-quality AI pipelines. • Published work in AI research or significant contributions to industry-leading AI technologies. • Excellent communication skills and a demonstrated sense of ownership over key AI projects. Suggested Skills: • Large Language Models (LLM) • Generative AI (GAI) • AI Research and Development • GPU and Hardware Acceleration • Distributed AI Systems and Model Parallelism • You Will Benefit From Our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $164,000 - $268,000. Actual compensation packages are based on several factors unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include an annual performance bonus, stock, benefits, and/or other applicable incentive compensation plans. For more information, visit LinkedIn Benefits. Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA writing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. Multiple openings are available on a rapidly growing team. As an early team member, you will have the opportunity to contribute to strategic planning and future hiring. If you are interested in building a new frontier in genetic medicine, please apply via LinkedIn or through our website (*************** We are seeking a skilled AAV Production Senior Research Associate/Associate Scientist to join our growing team. This role involves leading and executing all aspects of AAV production, with a focus on downstream optimization to enhance viral yield, quality, and consistency. The ideal candidate will bring extensive expertise in AAV production across adherent and suspension cell platforms and demonstrate a proven track record of optimizing protocols for scale-up, purification, and workflow efficiency. This role requires a collaborative spirit and the ability to work across teams to support AAV production and characterization. Key Responsibilities AAV Production and Process Development Develop and scale AAV production processes, including IOX gradient purification and affinity column purification, for increased yield and optimized turnaround. Perform cell culture for AAV production (adherent and suspension). Operate bioreactors, AKTA systems, pumps, mixers, and automated buffer exchange systems to streamline and automate purification workflows. Continuously improve purification methods (e.g., AKTA tandem purification) to automate and streamline multi-sample processes. AAV Characterization and Assay Development Run AAV potency, biodistribution, transduction efficiency, and immunofluorescence assays to evaluate AAV performance in mammalian cell lines. Perform dd PCR, sequencing, and ELISA-based assays for quantitative and qualitative characterization of AAV vectors, including titer, purity, and genome integrity assessments. Conduct in-depth analysis on AAV stability, aggregation, and particle-to-infectivity ratios to refine vector quality and consistency Collaborate on optimizing purification and buffer exchange protocols to enhance yield, purity, and formulation stability across multiple AAV serotypes. Support upstream cell culture scale-up with a focus on consistent AAV quality and reproducibility for downstream characterization assays. Inventory, Documentation, and Workflow Management Manage lab inventory, ensuring timely ordering of supplies and efficient use of resources. Maintain accurate records and data using platforms such as Benchling Workflow; author SOPs, testing summaries, and production batch records. Produce AAV lots to support research and preclinical studies, ensuring all production steps meet quality and consistency standards. Collaboration and Training Train and guide team members in AAV production techniques. Support viral transduction for in vitro and in vivo applications. Collaborate with cross-functional teams to meet project goals, and advance novel vectors into pipeline. Lead troubleshooting efforts for production challenges and ensure compliance with established protocols. Qualifications Education: Bachelors or Masters in Molecular Biology, Biochemistry, Virology, or a related field, or equivalent experience. Experience: 4+ years of hands-on industry experience in AAV production, preferably with both adherent and suspension HEK293 cells. Proven track record in scale-up production and purification processes. Technical Skills: Proficiency with AKTA, bioreactors, molecular biology techniques (DNA/RNA/protein isolation, cDNA synthesis, RT-PCR, qPCR, digital PCR, western blot, and immunofluorescence). Leadership: Demonstrated ability to manage and mentor team members in a production environment. Analytical Skills: Strong troubleshooting and optimization skills for viral vector production. Preference will be given to those who display: High motivation, with a strong work ethic and dedication to generating impact Attention to detail, with the ability to extract deep insights from data Ability to go from ideation to data in an independent fashion Long-term personal vision with defined career goals High EQ with team-oriented thinking Demonstrated excellence in small team environments, including a “no task is too small” attitude If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team. Please apply directly through LinkedIn or through our website (*************** Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.

Responsibilities • The primary responsibility is to work with our client's Proteomics Scientists to organize and analyze their mass spectrometry proteomics data sets to mine for new cancer drug targets. • Additional responsibilities include: prioritize therapeutic targets for drug development, assisting laboratory scientists with data analysis. Requirements • Experience with processing raw proteomic data from modern mass spectrometers. • Experience using shotgun proteomics search engines to identify post-translationally modified proteins. • Experience analyzing peptide fragmentation patterns. • Familiarity with biological annotation and ontology resources, such as Ensembl, GO, and UniProt. • Ability to clearly communicate complex ideas with co-workers. • M.S. or Ph.D. with 3+ years of industrial or academic experience and familiarity with basic biological and statistical concepts, and experience leading a small team Preferences • Experience using Java, JavaScript, Python, R, Scala, or SQL to organize and analyze complex data sets. • Workflow management and execution in an GNU/Linux, or MacOS, environment using shell scripts and Docker containers. Familiarity with Google Compute Engine is a plus.

TITLE: Research Scientist EXEMPT OR NON-EXEMPT: Exempt FULL- OR PART-TIME: Full-time PAY RANGE: $90,000 - $125,000 + bonuses REPORTS TO: Technical Director or as otherwise assigned. The Research Scientist will typically report to the Technical Director but may report to another member of Technology Management, as required. The Research Scientist is responsible for completing assigned research projects focused on the development of quantitative analytical chemistry techniques in support of Edeniq's business objectives including experimental design and conduct, data analysis, generation of meaningful conclusions and recommendations, and timely report writing. Responsibilities will also include conception and design of research projects and objectives, as well as supporting Edeniq Management in the development of technology strategy. Supervision of one or more Support Staff can be expected. Direct support of Company Intellectual Property development can also be expected. The Research Scientist will have a strong personal commitment to safety and be able to succeed in a fast-paced collaborative environment. EXPECTATIONS OF ALL EMPLOYEES: All employees of Edeniq, Inc. (“Edeniq” or the “Company”) must adhere to and follow the policies and procedures in the Company's Employee Handbook and are required to comport themselves to other Edeniq stakeholders (the Company, fellow employees, vendors, customers and other vested Company parties) with respect, support, honesty, courteousness, and hard work-"doing what we said we would do, and doing it well.” ESSENTIAL FUNCTIONS: Conducts and completes assigned research projects: Defines research objectives, milestones, and timelines. Defines project resource requirements. Writes concise research project proposals for Technical Director review and approval. Ensures project research is conducted consistent with project objectives, milestones, and timelines. Effectively manages project resources. Effectively communicates progress toward project objectives, milestones, and timelines to Technical Director and Company Management, as required. Recommends, when appropriate, revisions in project objectives, milestones, and timelines. Analyzes experimental data and generates scientifically valid conclusions and recommendations, as needed, for future research. Provides timely written reports to Company Management describing progress toward project objectives, milestones, and timelines. Provides timely final project report upon project completion. Works with Technology and Company Management to identify and pursue Intellectual Property derived from research project results. Supervises one or more members of Support Staff including direction of daily project activities, data review, coaching and counseling, and performance feedback. Remains current on relevant scientific literature and intellectual property landscape. Develops and maintains competitive intelligence in relevant areas. Directly supports Technology and Company Management in defining new research projects and potential new areas for development. Maintains accurate lab and data records in accordance with Company policies. Ensures a hygienic work environment, participating in lab cleanliness, organization, and other tasks. Supports and adheres to all company policies on safety, chemical hygiene, and the environment. KNOWLEDGE, SKILLS AND ABILITIES: Demonstrated ability to develop and validate novel and robust quantitative analytical chemistry methods. Extensive knowledge of modern analytical techniques: Chromatography (including hyphenated techniques) Spectroscopy Near Infrared (NIR) and Infrared (IR) Raman Ultraviolet and visible (UV/Vis) Fluorescence Nuclear Magnetic Resonance (NMR) Exceptional quantitative data analysis and computer skills: Statistics, including working knowledge of software such as MatLab Multivariate Data Analysis techniques such as Partial Least Squares (PLS) and Design of Experiment (DOE) Data reduction techniques such as Principal Components Analysis (PCA) Exposure to Machine Learning and Visualization would serve as an added recommendation Knowledge of fermentation and carbohydrate chemistry would serve as an added recommendation. Excellent verbal and written communication skills. Team player with the ability and willingness to work effectively in a fast paced, collaborative environment. Strong personal commitment to workplace safety and the environment. Requirements REQUIREMENTS: PhD in Chemistry or a closely related field. Minimum three (3) years' experience in a post-graduate research environment. Must possess and maintain a valid driver's license. PHYSICAL REQUIREMENTS - LAB: Must be able to perform the essential functions with or without accommodations. This position is considered light work, exerting up to 5-10 pounds of force or lifting frequently in a laboratory (and up to 30-40 pounds of lifting infrequently), and work is primarily done upright at a chest high lab counter for lengthy periods of time working with chemicals, beakers, flasks, and other lab equipment: Physical Task Extending hands and arms in any direction - Frequently, up to 75% of the time Move, Traverse - Frequently move about the lab Remain upright at lab counter - Frequently, up to 50% of the time Apply pressure to an object with the fingers and palm - Frequently, up to 50% of the time Raising objects from a lower to a higher position or moving objects horizontally from position to position - Frequently, up to 20% of the time Must be able to handle various chemicals safely and follow safety policies and procedures May handle hazardous and non-hazardous chemicals; exposed to liquids, fumes, dust, and gasses We are an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. Salary Description $90,000 - $125,000

Full-time Description Lyons Magnus leads the food industry with creativity and innovation, crafting top-quality products across all manufacturing phases, from raw materials to marketing. With over 2,000 diverse items for industrial ingredient and food service sectors, Lyons caters to leading restaurant chains nationally and internationally. At Lyons, our diverse and talented staff is the heart of our organization. We foster a thriving work environment where employees are engaged in shaping both the company's and their own future. This position is responsible for product development and commercialization of new products, product renovation and product maintenance projects. The R&D Scientist is responsible to manage project deliverables to contribute to achieving short and long term departmental and company objectives. This position will work closely with cross-functional partners in Marketing, Consumer Insights and Sales to carry out product design and development work leading to products that deliver on consumer and customer needs. The position works collaboratively with manufacturing, Quality and Supply chain functions to assure products consistently deliver on product design. Salary Range: $100,000 - $115,000/ per year Shift: Day Schedule: Monday - Friday Core Responsibilities: Direct the technical commercialization of new Lyons Magnus and customer products. Direct the coordinated development of new products and improvements of current products to deliver on objectives of the annual business plans. Apply sound culinary and scientific techniques to design products with consumer/customer-valued attributes. Lead and manage multiple development projects using detailed investigations, well-thought-out experimental design, sound scientific techniques and data-based decision making. Investigate for product and process challenges; provide creative solutions to solve challenges in development and commercialization. Establish professional relationships with fellow scientists and team members of our customers and suppliers. Work with other departments (Manufacturing, Engineering, Maintenance, Quality and Purchasing) to determine equipment, materials and processes necessary to produce products to maximize capacity and optimize product quality and differentiation. Assure technically sound sensory panels are conducted for product development, shelf-life studies, improving/maintaining present products and competitive testing. Identify and complete technical study of ingredients, suppliers, co-packers relevant to meeting project objectives and meeting Lyons Magnus standards. Develop supportive relationships with cross-functional peers within the Lyons Magnus marketing, sales, manufacturing, sourcing, engineering, finance, and business support functions. Build partnerships and leverage technical expertise of ingredient suppliers. Travel to manufacturing sites when deemed necessary to oversee plant trials and/or scale-up of critical products. Provide product demonstrations and presentations to customers when requested. Project management, alignment within all cross-functional departments for product commercialization. Gather, communicate and monitor sales forecasts for limited time offers and new product introductions. Update internal departments with project details, timelines, and customer requirements. Customer interface with select accounts. Requirements Knowledge, Skills and Abilities Strong interpersonal skills and demonstrated ability to work with cross functional teams, internally and externally (e.g. research institutes, representatives of processing and produce industries, suppliers, laboratories, etc.). Ability to work independently and as part of a technical team. Individual must have strong product development skills in ingredient functionality, material selection, and formulation. Candidate must expertly plan and conduct trials, data collection, and interpret results to drive program and technical knowledge forward, developing robust action plans, risk assessments, and contingency planning. Demonstrated problem-solving skills (pays attention to details and effort to understand causes instead of just the effects) and creativity for developing innovative solutions and applications. Excellent written and oral communication skills with strong emphasis on technical presentations and reports. Excellent communication to external partners including customers and vendor network. Ability to effectively manage multiple projects under short timelines to produce commercially viable solutions. Proven ability to multi-task in a fast-paced environment. Strong project management skills, influential savvy, and perseverance. Consistently meet deadlines. Self-motivated, self-starter Ability and willingness to work extended or odd hours when necessary. Ability to thrive in a fast paced, dynamic working environment. Mature, friendly, enthusiastic, and motivated team member. Effective written and oral communication skills. Excellent work ethic with proven ability to effectively balance multiple priorities. Ability to establish credibility with others. Ability to recognize and support the organizations preferences and priorities. Proficient in Excel, Access, Power Point, and ERP systems. Analytics skills, developing and building data models. Strong passion for science and creative problem solving. Technical knowledge with good reasoning and sound judgment abilities. Education and/or Experience Bachelor's degree required, advanced degree preferred, in Food Science, Dairy Science or an equivalent science program. Minimum 5 years' experience in an industrial or applied research environment in the area of food science and technology, processing, or new product development. Experience with Food Service and QSR is desired. Prior experience with customer interaction is required. Additional InformationOur compensation program is designed to attract, motivate, and retain the very best people. Lyons Magnus offers a comprehensive benefits plan that include: Health, Dental Insurance, Life Insurance, Long Term Disability, Sec. 125, 401(k) plan, and more. If you meet these requirements and are eager to join a dynamic company poised for further growth, please respond with your cover letter, and salary requirements. To learn more about Lyons Magnus, LLC its products and core values, visit ******************* or follow us on Instagram or LinkedIn Lyons Magnus is an Equal Opportunity Employer and with opportunities for advancement. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories. *This organization participates in E-Verify. Salary Description $100,000 - $115,000/year

Founded in 1963 to fuel the region's talent pipeline and support the growing U.S. space program, UCF is built to make a better future for our students and society. It's one of the reasons U.S. News & World Report ranks UCF among the nation's top 20 most innovative colleges, while Forbes, Kiplinger, and The Princeton Review rank us a best-value university. UCF is one of 14 universities nationwide designated as both a Hispanic-Serving Institution and a Research 1 university. With 13 colleges, including a fully accredited College of Medicine, UCF offers more than 220-degree programs between its main campus, downtown campus, hospitality campus, academic health sciences campus, and 11 UCF Connect centers located throughout the region. In addition, UCF extends its reach to communities in and beyond Central Florida by offering complete, online programs leading to bachelor's degrees, master's degrees, Ph.D.'s., certificates, and more. Responsibilities: * Studying the interfacial physical and chemical processes that determine the mechanical properties of polymer composites. * Using atomic force microscopy, Raman spectroscopy and other instrument to character composition and interactions at surface and interfaces. * Preparing reports and manuscripts Mentoring graduate students and undergraduate students Minimum qualification: Doctoral degree in chemistry or materials science and engineering. Preferred qualifications: Experience in the synthesis and characterization of polymeric materials, materials characterization instrumentation including AFM, SEM, TEM, Raman, etc. Additional material required: * Curriculum Vitae * Cover Letter Department Office of Research - Nanoscience Technology Center Work Schedule Monday - Friday 8:00 am - 5:00 pm Expected Salary $57,000.00 Equal Employment Opportunity Statement: The University of Central Florida is an Equal Opportunity/Affirmative Action Employer including Disabled/Vets. Click on UCF's Equal Opportunity Statement to view the President's Statement. The UCF affirmative action plans for qualified individuals with disabilities and protected Veterans are available for inspection in the Office of Institutional Equity, Monday through Friday, from 9:00 a.m. to 5:00 p.m., upon request. As a Florida public university, UCF makes all application materials and selection procedures available to the public upon request. The University of Central Florida is proud to be a smoke-free campus and an E-Verify employer. Department Office of Research - Nanoscience Technology Center (NTC) - Operations CG Work Schedule Monday - Friday 8:00 am - 5:00 pm. Schedule may vary as required. Type of Appointment Fixed Term (Fixed Term) Expected Salary Equal Employment Opportunity Statement: The University of Central Florida is an Equal Opportunity/Affirmative Action Employer including Disabled/Vets. Click on UCF's Equal Opportunity Statement to view the President's Statement. The UCF affirmative action plans for qualified individuals with disabilities and protected Veterans are available for inspection in the Office of Institutional Equity, Monday through Friday, from 9:00 a.m. to 5:00 p.m., upon request. As a Florida public university, UCF makes all application materials and selection procedures available to the public upon request. The University of Central Florida is proud to be a smoke-free campus and an E-Verify employer.

Conducts group, individual, couples, and family therapy under the supervision of licensed Psychologist. Completes initial assessments, biopsychosocial evaluations, treatment plans, therapy notes, and discharge plans within required time frames. Provides direct therapeutic care under the philosophy of the company, under supervision. Follows and improves clinical objectives, standards, policies and procedures. Participates in agency quality improvement activities. Ensures compliance with regulatory standards and community standards of care. Ensures coordination of services for families and multi-disciplinary team members for patients in treatment. Participates in interdisciplinary staff meetings with other professional staff members Provides crisis-intervention as needed. Oversees patients' progress in treatment and ensures level of care is appropriate based on medical necessity. Oversees insurance compliance (utilization review, medical necessity criteria, clinical programing requirements). Consults with intake coordinator regarding new admissions. All other duties as assigned. Requirements Current state license as a mental health therapist (e.g. Psychologist, LCSW, MFT, or LPCC) or registered with a licensing board (e.g. AMFT, Postdoctoral Fellow, etc.) Obtain a health clearance form from a medical provider. Obtain a negative tuberculosis screening. Experience: 2 years of clinical experience, which must have included experience in a behavioral health care setting. Computer Literacy in electronic medical records and email. Certificates & Licenses: Valid Driver's License Licensed as a mental health therapist (e.g. Psychologist, LCSW, MFT, or LPCC).

Job SummaryThe Principal Food Scientist, Dairy Products Innovation leads the company's efforts in the development, enhancement, and evolution of dairy-related products. This position works closely with a range of internal and external collaborators to bring innovative dairy solutions to market, ensuring alignment with broader business goals. The role requires expertise in the operational aspects of product development and the ability to navigate complex situations with creativity and strategic thinking. Essential Functions Provide deep expertise in dairy product development and process technologies, contributing to product evolution across various dairy categories. Collaborate in the setup of pilot processes and scale-up initiatives, ensuring that conceptual ideas translate into viable commercial products. Develop and refine product formulas and processes that meet evolving business and innovation needs. Independently manage and execute projects related to new and improved products, driving progress from concept to delivery. Identify and develop innovative solutions to enhance the functionality and quality of dairy products. Work across multiple teams to identify new opportunities for product innovation and improvement. Explore and support new research initiatives that align with evolving industry trends and market demands. Engage with external experts and partners as necessary to bring fresh insights and capabilities to the organization. Other related duties as assigned. Education and Experience Over 10 years of experience in product development, particularly within the dairy sector. Advanced degree in food science, engineering, or a related field; a PhD is advantageous. Expertise in dairy product development and process optimization, with hands-on experience in pilot plant and product scaling efforts. Strong understanding of product formulation, industrial processes, and ingredient functionality. Familiarity with dairy chemistry and complex food systems. Skilled in project management, with the ability to influence and align cross-functional teams. Comfortable in ambiguous environments and capable of leading through uncertainty. Passionate about bringing innovative ideas to life in fast-paced, deadline-driven contexts.

The Research Scientist will be part of a growing team at the USC EdPolicy Hub at the USC Rossier School of Education. The “Hub” collaborates with Southern California schools, education systems, and community colleges to co-design and conduct relevant research. Results will help partners navigate challenges and improve outcomes and equity for students across the region through research and evidence. In pursuit of this end, the Hub both conducts cutting-edge research on critical topics for the field and develops research networks that can answer questions for and better support education leaders throughout the region. The Research Scientist will be a critical part of our team, leading quantitative analysis for the Hub to help education leaders in the region learn what's working and what's not. We are seeking an experienced Research Scientist to lead the quantitative analysis portion of Hub projects. This hire will also support the development of new research projects with our school and district partners to improve education outcomes for all students in Southern California. Principal duties and responsibilities: The Research Scientist will typically work across several projects with faculty and other senior researchers at USC and (sometimes) other institutions. Specific responsibilities include: Provides expert guidance and support on advanced methodological issues that arise across Hub projects; Manages other, more junior, research data analysts in the assembly and analysis of large data sets; Systematizes procedures and workflows to ensure the quality and accuracy of less experienced research data analysts' work; Provides scientific guidance and mentorship to support the development and professional growth of HUB research data analysts; Develops, maintains, and oversees processes and infrastructure for receiving, storing, and handling sensitive data; Analyzes primary and secondary administrative data; develops compelling visualizations and summaries of findings to share with the Principal Investigator and other staff on the project Designing standards and protocols for HUB quantitative researchers that are consistent with core principles of scientific rigor, transparency, and reproducibility Develops and makes presentations to education leaders and policymakers Presents results from Hub projects at academic and practitioner conferences Authors complete or substantial portions of Hub reports and papers Works with Hub Executive Director to identify and pursue new grant opportunities and research projects that further the mission of the Hub Basic Qualifications: Ph.D. in a relevant quantitative social science field required (e.g., public policy, political science, economics, education policy, sociology, or a related field). Five years of related work experience required - including prior experience working with education agencies. Demonstrated leadership in developing new ideas and ability to publish in appropriate academic and practitioner outlets. Demonstrated independent thinking and leadership in scholarly writing. Expertise with and dedicated training in experimental and quasi-experimental methods commonly used in the social sciences and education research. Additional Qualifications: Expert programming skills in Stata or R. Previous experience working with student-level administrative data from education agencies. Previous experience managing quantitative analysts. Candidates must submit a cover letter, resume and transcript (official or unofficial) as a single PDF document. Any applicant wishing to be considered for this position must indicate that they meet all of the basic requirements in either the cover letter or resume. Candidates who are selected to participate in the next phase of the hiring process will be asked to submit a report that demonstrates their ability to perform the duties required for this position. The report should be accompanied by relevant programming code, modules, and documentation. This position's annual base salary range is $110,000-$120,000. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer equity, federal, state and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations. Applications should be submitted via usccarreers.usc.edu and should include the following: Resume A cover letter (Our system will allow you to add additional documentation by clicking the “upload” button in the same section where you attach your resume.) This position is a term appointment for one year from the date of hire, with a strong possibility of continuation. Minimum Education: Doctor of Philosophy (PhD) Minimum Experience: 5 years Minimum Skills: Directly related education and experience in research specialization with highly advanced knowledge of equipment, procedures, analysis methods, principles, theories and concepts. Demonstrated leadership in developing new ideas and ability to publish in appropriate academic and practitioner outlets. Demonstrated independent thinking and leadership in scholarly writing according established criteria (e.g., first-authored publications, conceptual leadership in the development of publications generated alone or with others, writing of first drafts of publications and/or single-authored publications). USC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC observes affirmative action obligations consistent with state and federal law. USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety. Please refer to the Background Screening Policy Appendix D for specific employment screen implications for the position for which you are applying. We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at **************, or by email at *************. Inquiries will be treated as confidential to the extent permitted by law. Notice of Non-discrimination Employment Equity Read USC's Clery Act Annual Security Report USC is a smoke-free environment Digital Accessibility If you are a current USC employee, please apply to this USC job posting in Workday by copying and pasting this link into your browser: *************************************************************

Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins works with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic and labelling is accurate. Job Description The Ideal Candidate would possess: 3 years of scientific leadership experience Experience conducting routine laboratory experiments e.g. HPLC, DSC, PXRD spectroscopy, solubility determinations, dissolution testing, suspension processing, etc. in a timely and productive manner with consistent quality output. Ability to follow procedures reliably and consistently and ability to recognize and elevate relevant issues as appropriate Strong computer, scientific, and organizational skills Excellent communication (oral and written) and attention to detail, ability to lead and train team members, and a positive attitude Qualifications Qualifications Bachelor's/Master's degree in Chemistry or other related degree concentration 3-4 years of related leadership experience. Authorization to work in the United States indefinitely without restriction or sponsorship Additional Information Additional Details: The position is full-time, on-site. Overtime will be required on a rotational basis to cover weekend Bioreactor sampling and occasional off-shift operations. Candidates living within a commutable distance of La Jolla, CA and the surrounding areas are encouraged to apply. Excellent full-time benefits including comprehensive medical coverage, dental, and vision options, also include: Life and disability insurance 401(k) with company match Paid vacation and holidays Compensation Range: $60,000- $70,000/yr Eurofins Lancaster Laboratories Professional Scientific Services (PSS) is a global, award-winning insourcing solution that places our people at our clients' sites dedicated to running and managing laboratory services while eliminating headcount, co-employment, and project-management worries. We infuse our 55-year track record of scientific and laboratory operations expertise, as well as HR, and a great place to work best practices, to recruit, hire, train, and manage highly qualified scientists to perform laboratory services using our client's quality systems and equipment. To learn more about Eurofins Lancaster Laboratories, please explore our website ******************* Eurofins USA PSS Insourcing Solutions is a M/F, Disabled, and Veteran Equal Employment Opportunity and Affirmative Action employer.

Department: School of Graduate and Professional Studies Reports To: Department Chair of Seminary Status/Time Commitment: Full-time with faculty rank, term appointment, 9-month appointment Rank: Assistant Professor Start Date: 07/01/2025 Fresno Pacific University Biblical Seminary invites applications for a two-year postdoctoral fellowship in theology and/or biblical studies. Reporting to the Department Chair of Seminary, this position is responsible for ensuring the delivery of a high-quality curriculum that leads to a seminary degree in divinity and/or ministry while advancing the values of the Fresno Pacific Idea and the Confession of Faith. This position is based at the main campus of Fresno Pacific University and has teaching responsibilities on campus, online, and potentially travel-based courses. Essential Functions Role: Teaching assignments within the Seminary, primarily focused on theology and biblical studies. Teaching assignments may vary based on the faculty member's expertise and/or needs of the seminary. Teach under the direction of the Department Chair, with some input from the Disciplinary Lead. Pursue an active scholarly agenda. Active participate in the FPU Biblical Seminary community in regularly scheduled events and meetings (common meal, seminary seminars, conferences, department meetings, graduate and professional studies meetings, faculty senate meetings, etc.) and represent the Seminary as requested by the Department Chair. Provide mentoring to students enrolled in ministry programs. As requested, initiate relationships/partnerships with external organizations, ministries, and churches and participate in the recruitment of new students. Actively align with the vision of the seminary's ministry programs: offering spiritually experiential courses that are broadly evangelical for a non-traditional and diverse student body who are personally passionate about their faith in Jesus. Demonstrate a commitment to serving and inspiring students in an academic context that integrates your Christian faith and learning. Embrace the mission, vision, and values of Fresno Pacific University, affirm the FPU Faith Expectations, and support the ideals and practices articulated in "The Fresno Pacific Idea” Other job duties as assigned Qualifications Required: Earned terminal degree in appropriate field of study (those nearing terminal degree completion may be considered). Ability to work collegially with students, staff, and faculty. Ability to teach and work with people from diverse cultural and ecclesiastical backgrounds, offering meaningful instruction, even with those who have quite different theological and cultural values than faculty. Strong relational, oral, and written communication skills. Deep commitment to the Christian faith and the University's mission of Christ-centered teaching and learning, and involvement in a local church. Agreement with the Mennonite Brethren Confession of Faith and a willingness to build positive relationships with the Mennonite Brethren Church and the broad network of evangelical churches in California's Central Valley. Preferred: Successful ministry leadership experience. Prior experience and demonstrated success teaching in areas such as theology and biblical studies, particularly for spiritually passionate Christians. Demonstrated success in curriculum development and teaching in different instructional modalities, including blended and fully online courses with nontraditional adult learners. Record or promise of scholarly achievement. Bilingual Environmental Conditions: Indoors in a normal office environment with little exposure to excessive noise, dust, fumes, vibrations, and temperature changes at least eighty percent (80%) of the time. Frequent computer use at a workstation, up to eight hours per day. Frequently work at a fast pace with unscheduled interruptions. Drive personal or University vehicles to appointments. Public contact position requiring professional apparel, personal hygiene, and grooming. Physical Demands: This position typically functions indoors in an office environment with light to moderate noise associated with business office equipment. The position may involve travel for meetings and events. While performing the duties of this job, the employee is regularly required to: remain in a stationary position 80 % of the time, be able to move about inside the office to access file cabinets/office machinery etc., operate a computer and keyboard and other office productivity machinery such as calculators/copy machines/printers. The employee is occasionally required to position self to reach items on the floor and in high cabinetry. The employee must regularly lift and/or move up to 10 pounds and occasionally lift and/or move up to 40 pounds. Employee must be able to communicate with others to exchange information including both over the telephone and in-person communication with callers and community members and be able to read a computer screen and paper documents. Reasonable accommodations for those with disabilities will be provided in accordance with law. University Information Required Documents: Cover Letter Curriculum Vitae Personal Statements: brief statement (1 page or less) on each of the following topics: Philosophy of Education Relationship & Commitment to Jesus Christ and the Church Relating Christian faith to discipline and teaching Diversity Rationale Official Transcripts (showing highest degree earned) 2 Letters of Recommendation Pastoral Letter This person should have extensive knowledge of your Christian life and relationship with Jesus Christ. This knowledge should be expressed in the letter. $68,640 to $83,650 is the anticipated salary for this role and reflects what Fresno Pacific University reasonably expects to pay for this position. Actual compensation may vary based on the qualifications, experience, and internal equity. In additional to compensation, FPU offers a competitive benefits package. Faculty Salary Scale can be viewed at Human Resources |Fresno Pacific University UNIVERSITY DESCRIPTION Fresno Pacific University is the only accredited Christian university founded in the Central Valley. FPU connects every student's untapped potential with unlimited opportunity for professional, personal and ethical growth. FPU offers undergraduate, graduate and seminary programs that stress solid academic preparation and a strong ethical foundation to more than 3,500 traditional and adult students on the main campus in southeast Fresno and regional campuses in North Fresno, Visalia, Bakersfield and Merced as well as online. The university also reaches about 8,000 students through professional development studies. FPU has the highest four-year graduation rate of any Central Valley college or university, and is a Hispanic Serving Institution, with a Hispanic student population of 47 percent. FPU is accredited by the Western Association of Schools and Colleges and ranked in the top tier among western universities-master's category by U.S. News & World Report. Both U.S. News and Washington Monthly include FPU on their “Best Value” and “Best Bang for the Buck” lists, U.S. News places it at number 13 in its category for student social mobility and Money has ranked it at number 11 among 50 Best Colleges for Transfer Students. FPU is affiliated with the Mennonite Brethren Church, and all employees express a personal Christian commitment and support the Christian mission of the university. A description of the unique quality of FPU as an academic community can be found in the Fresno Pacific Idea at fresno.edu/about/fpu_idea. Reserving its rights as a religious institution, Fresno Pacific University is an equal employment opportunity employer and does not discriminate on the basis of race, color, national origin, ethnicity, sex, age or disability, or other classes protected by applicable law. Committed to excellence and actively supportive of cultural diversity, FPU invites individuals who contribute to such diversity to apply. If you need assistance or an accommodation due to a disability, you should contact FPU's Human Resources Department at *************. As a religious institution, the University will administer the equal opportunity employment policy consistent with the Fresno Pacific University statement of faith, the FPU Idea and the University's governance by the Pacific District Conference of Mennonite Brethren Churches. *This information, including salary, is accurate as of February 6, 2025.

Applied Scientist (Senior/Staff/Principal) We are looking for a passionate and driven Research Scientist to join an impressive applied research company in the Bay Area. In this role, you will lead pioneering research efforts, design benchmarks, and develop advanced agent architectures. This position is perfect for someone eager to push the boundaries of AI and contribute to the development of innovative digital systems. Key Responsibilities: Conduct in-depth research and analyse scientific papers to inform new approaches. Design and implement benchmarks for assessing AI performance. Develop and refine agent architectures to drive cutting-edge advancements. Execute experiments to validate hypotheses and enhance system capabilities. Collaborate closely with a multidisciplinary team to align research efforts with strategic goals. Stay abreast of the latest breakthroughs in AI and related technologies. Skills and Qualifications: PhD in a computational or related field, with substantial research experience. Strong proficiency in programming (particularly Python) and machine learning. Deep knowledge of areas like computer vision, reinforcement learning, robotics, or NLP. Independent thinker with excellent problem-solving skills and a creative mindset. Ability to work collaboratively while bringing fresh ideas to complex challenges. For more information, please apply and we shall be in touch promptly! We look forward to hearing from you

Applied Scientist of Formal Methods Are you passionate about pushing the boundaries of AI and formal verification? Acceler8 Talent is looking for an Applied Scientist to join a startup team working at the intersection of automated reasoning and AI. In this role, you'll contribute to the development of cutting-edge neuro-symbolic AI systems that leverage the power of formal verification and modern machine learning techniques. As an Applied Scientist of Formal Methods, you'll design and implement innovative formal verification tools and techniques, prototype and validate neuro-symbolic reasoning approaches and develop high-performance systems based on your validated prototypes. Collaborating closely with researchers and engineers, you'll tackle complex verification challenges and make a significant impact on the future of AI-powered verification. A strong candidate will have: Strong background in formal methods and automated reasoning (e.g., SAT, SMT, model checking, logic, and automata) Proficiency in writing production-quality code in statically typed languages like C++, Rust, or Java Experience with rapid prototyping, ideally in Python Demonstrated expertise in algorithm design and implementation Exceptional problem-solving and analytical abilities Preferred Qualifications: PhD in Computer Science, Mathematics, or a related field with a focus on formal methods (or equivalent deep expertise) Experience with hardware verification languages and standards (e.g., SystemVerilog, PSL, SVA) Familiarity with modern machine learning techniques and frameworks