• Conducts research experiments and assays. • Evaluates research results, reports findings and discusses project outcomes with staff involved. • Performs data entry and maintains data files on research. • Coordinates tissue cultures, reagents, probe tests, etc. • Complies with established safety procedures and maintains required documentation on laboratory and specimen conditions. • Coordinates research project with other institutions and investigators. • Participates in developing hypotheses to be tested and ways of testing it. • Assists with general supply/equipment orders, lab maintenance and cleaning. • Performs literature research on specified topics. • Performs other duties as assigned.

• Conducts research experiments and assays. • Evaluates research results, reports findings and discusses project outcomes with staff involved. • Performs data entry and maintains data files on research. • Coordinates tissue cultures, reagents, probe tests, etc. • Complies with established safety procedures and maintains required documentation on laboratory and specimen conditions. • Coordinates research project with other institutions and investigators. • Participates in developing hypotheses to be tested and ways of testing it. • Assists with general supply/equipment orders, lab maintenance and cleaning. • Performs literature research on specified topics. • Performs other duties as assigned.

Title: Staff Research Scientist, Perception Location: San Francisco United States Job Description: Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. This role follows a hybrid work schedule and reports to a Principal Research Scientist. You will: - Research & Develop state-of-the-art Multimodal LLMs and World models to perform 3D Perception using sensor information from Camera, LiDAR and Radar. - Integrate emerging research from the broader AI community into Waymo's Encoders and Sensor understanding models - Partner with engineering and research teams across Waymo to share recipes, techniques, and best practices to accelerate our collective know-how. - Develop and maintain scalable data pipelines for Training & Eval to process data from multiple sources. - Design and implement evaluation frameworks for perception models. - Study and analyze different behaviors of this model, such as scaling efficacy, downstream quality implications, model architecture design ablations, etc. - Design and implement Perception Modeling solutions to understand LiDAR/Camera/Radar information from autonomous vehicle sensors. - Conducting cutting-edge research and potentially communicating research findings to the wider academic community via technical reports and/or publications. You have: - PhD or Masters in Computer Science, Machine Learning, Robotics, or a similar technical field, with 4+ years of industry or post-doc research experience in Reinforcement Learning or Foundation Models. - Demonstration of original contributions to the field through high-impact publications (ArXiv, peer-reviewed conferences like NeurIPS/ICLR/CVPR), technical blog posts, or significant open-source contributions. - Proficiency in implementing model training flows in a scalable, distributed and performant manner such as Data parallel, FSDP and other sharding approaches. - A willingness to work with complexity of globally distributed inference infrastructure. We prefer: - PhD in Computer Science, Machine Learning, or Robotics, with a research focus on Reinforcement Learning, Foundation Models, or Multi-Modal learning. - Extensive experience designing and deploying Reinforcement Learning infrastructure, specifically for on-policy learning or alignment with human preferences. - A consistent history of original contributions to the AI community, evidenced by first-author publications at top-tier venues (e.g., NeurIPS, ICLR, ICRA) or maintaining significant open-source ML projects - Substantial involvement in and contributions to high impact industry AI projects. - Experience in generative models for domains such as world models, images, videos, 3D, using techniques such as diffusion or autoregressive models. In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: - Health, dental, vision, life, disability insurance - Retirement Benefits: 401(k) with company match - Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment - Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary) - Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks - Baby Bonding Leave: 18 weeks - Holidays: 13 paid days per year The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000-$310,000 USD We appreciate your interest in Waymo. Waymo is proud to be an equal opportunity employer, committed to creating a culture of belonging and maintaining a supportive workplace for all employees. We welcome applicants of all backgrounds, and employment decisions are based on a candidate's qualifications, experience, and alignment with job requirements and business needs. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, family status, pregnancy, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to making sure our hiring process is accessible for all candidates.

Title: Sr Principal Scientist, R&D - Protein Chemist locations Glenview, IL time type Full time job requisition id R-103744 Job Description: Sr. Principal Scientist, R&D – Protein Chemist ​ Job Purpose The Kraft Heinz Next Generation Ingredients R&D team is seeking a highly motivated and experienced applied Protein Chemist to join our team in Glenview, IL. This role is central to our mission of developing innovative, high-quality food products that leverage the functional and nutritional benefits of dairy and meat proteins. As a senior research leader within our team, you will use your deep technical expertise in protein chemistry to inform product design, optimize processes, and provide strategic direction on ingredient interactions, ingredient/process interactions, and strategy around protein ingredients across the Kraft Heinz portfolio. This role requires a strong technical background, intellectual curiosity, and excellent communication and collaboration skills. This is a great opportunity for a technical expert that is looking to thrive in both the lab and business setting. Essential Functions & Responsibilities - ​​Apply your knowledge of protein functionality (e.g., emulsification, gelation, water binding) to improve food texture, stability, and performance. - ​Lead formulation and application work using dairy and meat proteins in products such as sauces, snacks, desserts, cheese, dairy-based beverages, and meat systems. Additional experience or ability to translate knowledge to plant-based proteins is a plus. - ​Partners with Product Development, Process Engineering, Nutrition, Regulatory, and Marketing teams to support product innovation from concept through commercialization. - ​Evaluate new protein ingredients and technologies from suppliers and academic partners; identify opportunities for joint research and technology scouting. - ​Support scale-up and manufacturing by addressing protein-related processing challenges. - ​Develop and maintain a deep understanding of the protein ingredient landscape, including emerging technologies (e.g., enzymatic modification, fermentation-derived proteins, hybrid protein systems). - ​Design and execute experiments to generate data on protein behavior under various processing and storage conditions. - ​Maintain detailed documentation of experimental protocols and results. - ​Prepare and file Invention Disclosure Forms (IDFs) to document novel technologies and support patent filings; conduct patent landscape analyses to assess freedom-to-operate, competitive activity, and whitespace opportunities, and translate findings into actionable R&D and innovation strategy - ​Stay current on protein science, food regulations, and consumer trends to inform application strategies and maintain relevant external network​ Expected Experience & Required Skills - ​​Bachelor’s with minimum 8 years relevant industry experience OR Master’s with minimum 7 years relevant industry experience OR PhD with minimum 6 years of relevant industry experience in applied protein chemistry or food formulation, with a focus on dairy and/or meat proteins. Degree in Food Science, Biochemistry, Dairy/Meat Science, or a related field is highly preferred. - ​Fundamental understanding of protein structure, from the primary amino acid sequence through secondary, tertiary, and quaternary structures. - ​Strong understanding of how proteins behave in real food systems and during processing. - ​Deep expertise in protein characterization and protein-based ingredient interactions, including protein-protein interactions, protein-carbohydrate interactions, and protein-lipid interactions, and the analytical and modeling approaches used to study them. - ​Experience with adjacent ingredient fundamentals and their interaction, specifically to proteins, dairy, and non-dairy, and/or enzymes. - ​Strong grasp of food industry trends, consumer preferences, and regulatory requirements. - ​Experience with pilot plant trials, ingredient functionality testing, and cross-functional product development. - ​Excellent problem-solving skills and the ability to translate science into practical solutions. - ​Excellent communication and collaboration skills, including the ability to work effectively with cross-functional teams and engage non-technical audiences. - ​Demonstrated ability to prioritize and manage complexity, navigate ambiguity, and think creatively. - ​Possess excellent industry external ecosystem, with experience establishing and leading collaborative research with outside partners. ​ Work Environment This position operates primarily in a hybrid work environment and is based at the Kraft Heinz R&D Innovation Center in Glenview, IL. Our hybrid model provides flexibility based on business needs, allowing employees to work virtually up to two days per week, with an expectation to work on-site at least three days per week at the Glenview Innovation Center. Physical Requirements Physical demands include but are not limited to: - ​​Work is performed in an R&D Innovation Center laboratory, with occasional pilot plant exposure. - ​Ability to lift, carry, push, or pull materials and equipment up to 50 lbs (e.g., ingredient containers, lab apparatus, sample boxes). - ​Frequent use of hands for fine motor tasks such as measuring, weighing, labeling, and operating laboratory instruments. - ​Frequent repetitive motion, including handling tools, containers, and data entry. - ​Occasional bending, crouching, or stooping to access low storage, equipment, or sample placement. - ​Must be able to wear and utilize required Personal Protective Equipment (PPE), including lab coats, gloves, hairnets, safety glasses, and hearing protection where applicable. This job description is not designed to cover or contain all duties or responsibilities that are required of the role. Duties or responsibilities may change or be added with or without notice. Our Total Rewards philosophy is to provide a meaningful and flexible spectrum of programs that equitably support our diverse workforce and their families and complement Kraft Heinz’ strategy and values. New Hire Base Salary Range: $120,800.00 - $151,000.00 Bonus: This position is eligible for a performance-based bonus as provided by the plan terms and governing documents. The compensation offered will take into account internal equity and may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors Benefits: Coverage for employees (and their eligible dependents) through affordable access to healthcare, protection, and saving for the future, we offer plans tailored to meet you and your family’s needs. Coverage for benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents. Wellbeing: We offer events, resources, and learning opportunities that inspire a physical, social, emotional, and financial well-being lifestyle for our employees and their families. You’ll be able to participate in a variety of benefits and wellbeing programs that may vary by role, country, region, union status, and other employment status factors, for example: - Physical - Medical, Prescription Drug, Dental, Vision, Screenings/Assessments - Social - Paid Time Off, Company Holidays, Leave of Absence, Flexible Work Arrangements, Recognition, Training - Emotional – Employee Assistance Program , Wellbeing Programs, Family Support Programs - Financial – 401k, Life, Accidental Death & Dismemberment, Disability Location(s) Glenview R&D Center