• Design and execute system-level measurement frameworks for foundational model improvements spanning offline evaluation benchmarks, online A/B experiments, and longitudinal impact tracking across surfaces. • Define, and own the success metrics that quantify foundational model value. • Build causal inference methodologies to isolate the incremental impact of individual model components within a complex, multi-model production system where changes co-occur and interact. • Work cross-functionally to build relationships, proactively communicate key findings, and collaborate closely with ML Engineers, Applied Scientists, Homefeed and Surface teams to ensure measurement rigor is embedded in every model launch. • Relentlessly focus on impact, whether through sharpening investment decisions with data, raising the bar for launch criteria, accelerating experimentation velocity, or surfacing hidden inefficiencies in the model ecosystem.

• Perform quick analyses and ad-hoc studies to support strategic decisions, addressing specific requests from different areas of the company; • Manage and implement end-to-end, low-complexity data projects, ensuring effectiveness and innovation; • Actively participate in medium-complexity projects, executing tasks with autonomy and analytical precision; • Collaborate on high-complexity projects, providing technical expertise and creative solutions under senior supervision; • Develop classification and regression algorithms, and build models to identify non-linear relationships between variables; • Understand and apply neural networks in appropriate contexts; • Create and maintain technical and business documentation, as well as presentations related to data activities; • Promote a data-driven culture across teams, acting as a data evangelist.

Role Description Dr. Berg Nutritionals is building a new line of clean-label food products — crackers, spice blends, dressings, dry goods, and more — sourced from our own greenhouse and formulated without grains, seed oils, refined sugars, or artificial ingredients. The challenge is not just making healthy food; it's making healthy food that people actually prefer over junk food alternatives. We want the same crunch, the same mouthfeel, the same flavor satisfaction — built from ingredients we stand behind. We're looking for a Sensory & Formulation Food Scientist who understands the mechanics of why conventional food is addictive and can reverse-engineer those qualities using clean, whole-food ingredients. This is the person who takes a concept from Dr. Berg's kitchen to a shelf-stable, scalable, commercially viable product without compromising quality. Job Duties & Responsibilities - Product Development & Formulation - Develop and iterate on clean-label formulations for crackers, spice blends, dressings, dry goods, and other product categories as they emerge. - Engineer texture, mouthfeel, and crunch to match or exceed conventional competitors — using no grains, no seed oils, no refined sugars, and no artificial additives. - Build flavor systems and seasoning blends that deliver the same reward and satisfaction as commercial products, using real herbs, spices, and whole-food ingredients (many sourced from our greenhouse). - Prototype rapidly. Test internally. Iterate based on feedback. Move from concept to shelf-ready formulation. - Sensory Science & Consumer Experience - Apply sensory science principles to product design: taste, aroma, texture, appearance, and the overall eating experience. - Design and run internal tasting panels and feedback loops to evaluate products before they go to market. - Understand why junk food works — salt/fat/sugar layering, crunch mechanics, mouth-coating, flavor release timing — and replicate those dynamics with clean ingredients. - Ingredient Sourcing & Scaling - Work with our greenhouse team and sourcing partners to identify and qualify ingredients that meet Dr. Berg's standards. - Ensure formulations are scalable from test kitchen to co-packer production without quality loss. - Manage water activity, shelf stability, packaging requirements, and any regulatory or labeling needs for finished products. - Collaboration & Knowledge Transfer - Work directly with Dr. Berg to translate his nutritional philosophy into product specifications. - Collaborate with marketing and content teams to provide technical backing for product claims, ingredient stories, and educational content. - Document all formulations, processes, and test results so the product line can scale beyond a single person. Qualifications - Degree in Food Science, Food Technology, Sensory Science, or a closely related field (UC Davis, Cornell, Rutgers, Cal Poly, or equivalent programs). - 3+ years of hands-on R&D experience developing consumer food products, ideally in clean-label, better-for-you, or functional food categories. - Deep understanding of texture engineering — how to achieve crunch, snap, chew, and creaminess through ingredient selection and process design. - Working knowledge of flavor chemistry: how seasoning blends, fat carriers, acid balance, and Maillard reactions interact to create satisfying flavor profiles. - Experience taking a product from bench-top prototype through co-packer production and commercial launch. - Comfort working in a fast-moving, founder-led environment where speed and iteration matter more than corporate process. Preferred - Experience at a clean-label CPG brand (Primal Kitchen, Hu Kitchen, Siete Foods, Simple Mills, RXBAR, Base Culture, or similar). - Formal sensory science training or experience running consumer panels and sensory evaluations. - Knowledge of grain-free, keto-friendly, or low-carb formulation constraints. - Background in spice blending, dressing/sauce formulation, or dry goods (not just baked goods). - Understanding of health-claim compliance (FDA, FTC) as it relates to food labeling and marketing. Compensation - Rate: $50 - $110/hour, based on experience and scope of engagement - Location: Fully remote within the United States - Type: Independent Contractor - Hours: Flexible; specific commitment to be defined based on project scope - Hiring eligibility: We are not currently engaging contractors based outside the U.S. - Applicants must be able to ship products easily and quickly within the U.S.

Role Description DOE’s Office of Environmental Management Graduate Fellowship Program is seeking graduate fellows to work on some of the nation’s greatest cleanup efforts. The successful candidate will join other postdocs and graduate fellows as part of the Minority Serving Institutions Partnership Program (MSIPP). MSIPP is funded by the Department of Energy Office of Environmental Management (DOE-EM). The selected candidate will work on projects related to environmental data processing, analysis methods, statistical modeling, data visualizations, and AI tool development. - Work with a wide range of types and formats of environmental data spanning geophysics, groundwater chemistry, water levels, remote sensing, etc. to condition and analyze data to identify trends and insights to support environmental remediation decision-making. - Apply statistical, machine learning, and artificial intelligence approaches and methods to develop insights to the remediation process or tools that can guide the remediation process. - Manage and organize large datasets to maintain data integrity and accessibility, meeting data validation and quality assurance objectives. - Collaborate with environmental/chemistry experts, engineers, software developers, and data scientists to understand specific project goals and execute on project/task delivery. Qualifications - Minimum Qualifications: - Candidates must have received a Master’s degree within the past 24 months or within the next 8 months from an accredited college or university. - Minimum GPA of 3.0 is required. - Preferred Qualifications: - Degree in Data Science, with education (Minor or certificate) related to statistical analysis/modeling. - Proficiency in math/data analytics and data science (e.g., statistics, Artificial Intelligence/Machine Learning), including analysis using Tableau. - Coding experience with Python, JavaScript, and SQL (R or VBA are a bonus). - Experience with Amazon Web Services cloud computing, including serverless and AI services. - Ability to work collaboratively in team settings, along with excellent verbal and written communication skills. - Experience with data/software quality assurance programs (e.g., NQA-1). - Strong familiarity with and interest in cleanup/environmental management and associated challenges. Requirements - This position involves access to sensitive systems and information. U.S. Citizenship is required. - Pacific Northwest National Laboratory is subject to the Department of Energy Unclassified Foreign Visits & Assignments Program site, information, technologies, and equipment access requirements. Benefits - Medical insurance - Dental insurance - Vision insurance - Robust telehealth care options - Several mental health benefits - Free wellness coaching - Health savings account - Flexible spending accounts - Basic life insurance - Disability insurance* - Employee assistance program - Business travel insurance - Tuition assistance - Relocation - Backup childcare - Legal benefits - Supplemental parental bonding leave - Surrogacy and adoption assistance - Fertility support - Employees may accrue up to 120 vacation hours per year - Employees may receive ten paid holidays per year