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Artificial Intelligence & Analytics - Service Line Sales Specialist - Director (AIA SLS) Required Location: Seattle, WA or San Francisco Bay area The AI & Analytics Lead – SL Sales Specialist role is an incredible opportunity to be at the forefront of the AI revolution and collaborate with some of the most successful global retail and consumer goods companies! The successful candidate will work with Cognizant's internal solution development teams and our client's team(s) on a variety of cutting-edge artificial intelligence, agentic AI, data modernization, analytics, and data science projects. The individual will evangelize, sell, and transform mission-critical projects for our clients, working closely with client CIO/CDO/CXO organizations, brand teams, product owners, solution architects, data scientists, and data engineers. The ideal candidate must be an exceptional communicator and a dynamic leader who can engage with senior stakeholders while driving agile teams. They should be able to develop and guide proactive pursuits and RFP/RFI responses. The candidate should have practitioner-level experience in AI/ML, data science solutions, and familiarity with two or more of the following: Azure OpenAI / Machine Learning, AWS SageMaker, Bedrock, Google Vertex AI, Gemini, Big Query, TensorFlow, Databricks, Snowflake, etc. Key Responsibilities · Forge local Client relationships with executive decision makers across IT and business teams face to face. · Be the trusted partner for our clients in the Retail, CPG, or Travel & Hospitality space · Map client organization, build outstanding relationships with new business units, and build sales strategies for developing new business opportunities for AI and Data Analytics driven services · Run end-to-end lead generation, sales, and RFI/RFP processes for specific solutions in a multi technology, multi skill and service line environments for the achievement of sales target. · Counsel account leadership and delivery leadership by highlighting risks and issues related to the engagements · Develop and implement Account (client) Growth strategy and business plans that coordinate with account teams to integrate with the account’s larger growth plan. · Work in a matrix organization to achieve prospecting and other sales management goals · Maintain sales pipeline and forecast hygiene to enable system-oriented key performance metrics and measurement Required Qualifications: · Consultative Solutions selling experience, finding technical solutions to solve business problems in Artificial Intelligence (AI) and Agentic AI, Data management, and Analytics across multiple clients in Retail, Travel, Consumer Goods, Travel & Hospitality · Strong experience selling Data solutions with Hyperscaler’s Azure, AWS, and GCP platforms with understanding of Cloud Data warehouse concepts like Cloud modernization, Enterprise data governance analytics and reporting. · Ability to navigate multi-agents: Azure OpenAI, CoPilot, Google Gemini, AWS Bedrock, SageMaker, or Anthropic cloud solutions. · Sound knowledge on Snowflake, Databricks, Informatica and other leading Data Products. · Minimum 5-7 years hands on in advanced Presales AI, Data & Analytics Solutions and Services · 10+years’ overall work experience required. · P&L management experience · Excellent ability and aptitude to influence and communicate effectively with business stakeholders up to C-Suite executives. · Experience with largescale consulting and program execution engagements in the AI and data analytics space. · Ability to appreciate and work on 360-degree aspects around an AI and Data insights life cycle across the business value chain. · Strong technical skills with the ability to find technical solutions to business problems and engage the potential customer with “consultative selling” is essential. · Excellent oral and written communication skills, and executive presentation and persuasion skills are required. · MS or MBA degree preferred Applications will be accepted until March 31, 2026. The annual base salary for this position is between $175,000 - $190,000 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans. This position is also eligible for Cognizant’s discretionary annual incentive program and stock awards, based on performance and subject to the terms of Cognizant’s applicable plans. Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: · Medical/Dental/Vision/Life Insurance · Paid holidays plus Paid Time Off · 401(k) plan and contributions · Long-term/Short-term Disability · Paid Parental Leave · Employee Stock Purchase Plan Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. CogWW901

SUMMARY: We are seeking a Principal Scientist in Computational Chemistry to join our small molecule discovery organization. The successful candidate will bring deep expertise in ligand design and cheminformatics with experience in a pharmaceutical or biotechnology drug discovery setting. Strong communication and collaboration skills are essential, as this position will interact closely with interdisciplinary small molecule discovery project teams. This individual will apply computational and data-driven methods to advance small-molecule discovery projects, collaborating closely with medicinal chemistry, structural biology, pharmacology and biology teams to advance early-stage discovery projects. ESSENTIAL DUTIES AND RESPONSIBILITIES: * Apply and develop cheminformatics and machine learning models to enable predictive analytics across the pipeline * Lead and contribute to ligand- and structure-based design efforts in active discovery programs * Integrate computational & machine learning tools into collaborative platforms (e.g., LiveDesign, Spotfire) to make predictive insights accessible to cross-functional teams * Experience in applying machine learning approaches, including protein-ligand/protein-protein co-folding models and generative chemistry models * Analyze large data sets and apply cheminformatics techniques to extract design-relevant insights * Drive virtual screening campaigns (structure-based, ligand-based, and fragment-based) to support hit identification and lead optimization * Communicate results and strategy effectively to project teams and leadership * Contribute to the strategic growth of CADD capabilities and help establish a predict-first culture within the organization * Maintain notebooks in accordance with company policies and practices EDUCATION & EXPERIENCE: * Bachelor's degree in related discipline and a minimum of 11 years of relevant experience; or, * Master's degree in related discipline and a minimum of 9 years of relevant experience; or, * PhD in Computational Chemistry, Cheminformatics or related discipline and a minimum of 5 years of post-doctorate experience; or, * Equivalent combination of education and experience. KNOWLEDGE & SKILLS: * Demonstrated impact on drug discovery projects, from hit ID through lead optimization * Experience in cheminformatics, data analysis, and machine learning co-folding approaches * Proficiency with Python/R, RDKit, Pipeline Pilot and ML frameworks * Proactive mindset to bring open-source/external ML solutions in-house to enable design and decision-making * Strong expertise in ligand- and structure-based drug design methods, including docking, scaffold hopping, virtual library enumeration, molecular dynamics, and free energy approaches * Solid understanding of drug-like property optimization (ADME, physicochemical parameters, liabilities) * Proven track record of effective collaboration with medicinal chemists, biologists, and other stakeholders. * Strong communication and presentation skills; ability to influence project strategy with computational insights. ADDITIONAL SKILLS & ABILITIES: * Strategic thinker with a passion for applying computational & ML approaches to solve practical problems in drug discovery * Collaborative team player, able to work seamlessly across disciplines * Proactive, innovative, and adaptable in a fast-paced environment * Strong balance of technical depth and project impact orientation * Strong written, oral, and presentation communication skills DISCLAIMER The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job. #LI-HG1 If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Our compensation reflects the cost of labor across severalU.S. geographic markets, and we pay differently based on those defined markets. The base pay range for this positionis $150,000 - $213,000 annually. The base pay range may take into account the candidate's geographic region, which will adjust the pay depending on the specific work location. The base pay offered will take into account the candidate's geographic region, job-related knowledge, skills, experience and internal equity, among other factors. In addition to the base salary, as part of our Total Rewards program, Exelixis offers comprehensive employee benefits package, including a 401k plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts. Employees are also eligible for a discretionary annual bonus program, or if field sales staff, a sales-based incentive plan. Exelixis also offers employees the opportunity to purchase company stock, and receive long-term incentives, 15 accrued vacation days in their first year, 17 paid holidays including a company-wide winter shutdown in December, and up to 10 sick days throughout the calendar year. DISCLAIMER The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

SUMMARY/JOB PURPOSE: The Senior Compliance Operations Manager will assist in maintaining and enhancing the organization's Compliance Program. This individual will be responsible for developing, implementing, and supporting healthcare compliance practices, systems, and processes, with an emphasis on business integrity, operational excellence, and practicality. This individual will be responsible for evaluation of materials submitted for review and approval, including serving as the owner of the company's HCP engagement system. This role requires data-driven analysis and familiarity with Physician Payments Sunshine Act (Open Payments) transparency reporting requirements, strong investigative capabilities, and expertise in conducting risk assessments, audits, and monitoring activities. The essential business partners for this role are corresponding positions in Sales, Marketing, Market Access, Commercial Strategy, Analytics & Operations, Medical Affairs, Information Technology (IT), Legal Affairs and Human Resources (HR). ESSENTIAL DUTIES/RESPONSIBILITIES: * Responsible for the support and execution of the audit and monitoring program, including development of tools, performance standards, and completion of corrective action. * Assists in the audit and monitoring of HCP-related company activities. * Review business requests for sponsorships and exhibits. * Maintain robust repository of analysis and reports. * Assist with live and online training activities and collection and maintenance of company training data. * Conducts bench testing/auditing of business activities to confirm that compliance controls are operating effectively. * Leverages data analytics and investigative techniques to identify compliance trends, assess risks, and share actionable insights with key stakeholders. * Serves as back up support for aggregate spend tracking and reporting activities, including managing the process for collecting, reviewing, and validating data for CMS Open Payments submissions. * Maintains current knowledge of federal and state transparency laws and requirements. * Supports investigations of potential violations of law or company policy and/or ethical standards related to healthcare ethics and compliance matters, provides competent reports on the results of the investigations, and assists with the determination of corrective actions and the implementation of follow up actions. * Owns and administers the HCP engagement management system (e.g., ETHOS/SteepRock), including system configuration, user access management, workflow optimization, and ensuring data integrity across all compliance tracking processes. * Maintains understanding of AI applications and data management best practices in compliance operations, including how machine learning can support benchmarking, pattern detection in HCP engagement data, and automated compliance monitoring. * Supports business stakeholders with day-to-day compliance activities, including reviewing HCP engagement requests, conducting FMV assessments, and managing payment tracking and reporting workflows. * Performs other duties as assigned/requested. SUPERVISORY RESPONSIBILITIES: * No supervisory responsibilities EDUCATION/EXPERIENCE/KNOWLEDGE & SKILLS: Education: * Bachelor's degree in related discipline and 9 years of related experience; or * MS/MA degree in related discipline and 7 years of related experience; or * Equivalent combination of education and experience * Healthcare Compliance Certificate a plus. Experience: * Experience in the pharmaceutical and biotech industries. Specific expertise in the best practices of healthcare compliance and auditing. Finance audit experience is a plus. * Familiarity with the legal principles of FDA advertising and promotion regulations, the False Claims Act, Anti-Kickback Statute, Physician Payments Sunshine Act (Open Payments), OIG guidance, and the PhRMA Code required. * Experience with SteepRock HCP engagement system, audit & monitoring platforms, and/or Tableau is a plus. Knowledge, Skills and Abilities: * Excellent verbal and written communication skills, must be an effective communicator with strong interpersonal skills * Strong organizational (detail oriented), project management, and problem-solving skills * Ability to handle multiple tasks, prioritize appropriately and adapt quickly to new situations, and offer creative solutions to challenging problems * Must be responsible, conscientious, and professional * Ability to work under pressure to meet specific deadlines * Ability to work independently and also be a team player * Must be able to exercise common sense in carrying out tasks * Dedication to quality and the highest professional standards * Must be a self-starter and quick learner * Must have good judgment * Strong computer skills (e.g., Microsoft Office Suite (Word, Excel, PowerPoint, etc.), Visio, Internet) * Ability to travel domestically 35% Work Environment/Physical Demands: Our office is a modern space that foster collaborations and creativity. Teams work closely together, sharing ideas and solutions in a supportive atmosphere. We provide all necessary equipment, including dual monitors and ergonomic chairs, to ensure a comfortable workspace. Business travel (~25%) is required. #LI-HG1 If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Our compensation reflects the cost of labor across severalU.S. geographic markets, and we pay differently based on those defined markets. The base pay range for this positionis $129,000 - $183,000 annually. The base pay range may take into account the candidate's geographic region, which will adjust the pay depending on the specific work location. The base pay offered will take into account the candidate's geographic region, job-related knowledge, skills, experience and internal equity, among other factors. In addition to the base salary, as part of our Total Rewards program, Exelixis offers comprehensive employee benefits package, including a 401k plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts. Employees are also eligible for a discretionary annual bonus program, or if field sales staff, a sales-based incentive plan. Exelixis also offers employees the opportunity to purchase company stock, and receive long-term incentives, 15 accrued vacation days in their first year, 17 paid holidays including a company-wide winter shutdown in December, and up to 10 sick days throughout the calendar year. DISCLAIMER The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematician

SUMMARY: We are seeking a Principal Scientist in Computational Chemistry to join our small molecule discovery organization. The successful candidate will bring deep expertise in ligand design and cheminformatics with experience in a pharmaceutical or biotechnology drug discovery setting. Strong communication and collaboration skills are essential, as this position will interact closely with interdisciplinary small molecule discovery project teams. This individual will apply computational and data-driven methods to advance small-molecule discovery projects, collaborating closely with medicinal chemistry, structural biology, pharmacology and biology teams to advance early-stage discovery projects. ESSENTIAL DUTIES AND RESPONSIBILITIES: Apply and develop cheminformatics and machine learning models to enable predictive analytics across the pipeline Lead and contribute to ligand- and structure-based design efforts in active discovery programs Integrate computational & machine learning tools into collaborative platforms (e.g., LiveDesign, Spotfire) to make predictive insights accessible to cross-functional teams Experience in applying machine learning approaches, including protein-ligand/protein-protein co-folding models and generative chemistry models Analyze large data sets and apply cheminformatics techniques to extract design-relevant insights Drive virtual screening campaigns (structure-based, ligand-based, and fragment-based) to support hit identification and lead optimization Communicate results and strategy effectively to project teams and leadership Contribute to the strategic growth of CADD capabilities and help establish a predict-first culture within the organization Maintain notebooks in accordance with company policies and practices EDUCATION & EXPERIENCE: Bachelor's degree in related discipline and a minimum of 11 years of relevant experience; or, Master's degree in related discipline and a minimum of 9 years of relevant experience; or, PhD in Computational Chemistry, Cheminformatics or related discipline and a minimum of 5 years of post-doctorate experience; or, Equivalent combination of education and experience. KNOWLEDGE & SKILLS: Demonstrated impact on drug discovery projects, from hit ID through lead optimization Experience in cheminformatics, data analysis, and machine learning co-folding approaches Proficiency with Python/R, RDKit, Pipeline Pilot and ML frameworks Proactive mindset to bring open-source/external ML solutions in-house to enable design and decision-making Strong expertise in ligand- and structure-based drug design methods, including docking, scaffold hopping, virtual library enumeration, molecular dynamics, and free energy approaches Solid understanding of drug-like property optimization (ADME, physicochemical parameters, liabilities) Proven track record of effective collaboration with medicinal chemists, biologists, and other stakeholders. Strong communication and presentation skills; ability to influence project strategy with computational insights. ADDITIONAL SKILLS & ABILITIES: Strategic thinker with a passion for applying computational & ML approaches to solve practical problems in drug discovery Collaborative team player, able to work seamlessly across disciplines Proactive, innovative, and adaptable in a fast-paced environment Strong balance of technical depth and project impact orientation Strong written, oral, and presentation communication skills DISCLAIMER The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job. #LI-HG1 If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Our compensation reflects the cost of labor across severalU.S. geographic markets, and we pay differently based on those defined markets. The base pay range for this positionis $150,000 - $213,000 annually. The base pay range may take into account the candidate's geographic region, which will adjust the pay depending on the specific work location. The base pay offered will take into account the candidate's geographic region, job-related knowledge, skills, experience and internal equity, among other factors. In addition to the base salary, as part of our Total Rewards program, Exelixis offers comprehensive employee benefits package, including a 401k plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts. Employees are also eligible for a discretionary annual bonus program, or if field sales staff, a sales-based incentive plan. Exelixis also offers employees the opportunity to purchase company stock, and receive long-term incentives, 15 accrued vacation days in their first year, 17 paid holidays including a company-wide winter shutdown in December, and up to 10 sick days throughout the calendar year. DISCLAIMER The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

Berkeley Public Health (BPH) aims to improve population health, especially for the most vulnerable, through interdisciplinary collaborations, preeminent education, and transformational research. The Center for Targeted Machine Learning and Causal Inference (CTML) at UC Berkeley is an interdisciplina

While the degree focuses on the molecular sciences, its content is suitable for any student pursuing software engineering or data science roles in other science-based industries, or in other areas that require advanced machine learning, complex mathematical modeling and simulations, or high-performa

We represent fantastic Vendors! We have awesome Customers! Keeping them connected with the right sales professional is where the magic happens! To start – this is an opportunity to own your own business while having the support and collaboration of a team. Although you don’t have to buy anything to get started, it is an investment of time and a learning curve to develop it to be the rewarding career it can be. Our industry is 100% commission driven. The upside that the rock stars in the business are driven by is their independence, control of their time and financial future. The downside is the initial building process to earn relationships with buyers. Sales Producers, Inc. is a progressive business-to-business sales organization established in 1983. We exclusively represent well-known brands in the Gift and Home Accessory industry with a wide variety of product categories. Our 25 + Independent Retail Consultants cover the 13 Western States and enjoy the benefits of selling to an almost unlimited array of retail stores – if there’s a store front and a cash register, it’s likely to be a sales opportunity for one or more of our lines. Our industry is similar to the Real Estate industry in that the relationships we earn are our biggest asset. The longer you’re in the industry calling on and adding value to your customers, the more successful you become. You set your own schedule, create your own business plan, put it in action as you see fit, earn commission for what you generate, and build your own business. We support that initiative by providing the following: • Well established and highly desirable brands to sell to your retail accounts., • Powerful marketing machine to back up your efforts., • Monthly commission rebate incentive, • Permanent Las Vegas and Los Angeles showroom presence that attracts and rolls out the red carpet for your buyers., • Administrative team to accurately and promptly process and direct deposit your commission every two weeks., • Team of people to teach, guide, share, and be the wind at your back to fuel your success. Position Description: Although we offer an advance, this is a commission-based position. Income is based on an individual’s skill, drive, & tenure & our team ranges from 35K-100K Being an Independent Retail Consultant is like running your own business or owning a franchise without the upfront costs and headaches. Let your inner Entrepreneur come out! • Set your schedule to work around your family or other personal priorities., • Sell, service, and add value to our existing accounts., • Prospect and open new accounts., • Meet agreed upon vendor sales goals., • Be a consistent and reliable partner to your buyers and vendors., • As an expert consultant, advise about product information, suggest merchandising ideas, take charge to inventory to advise for reorders, make ordering recommendations, and share product images for marketing and social media needs., • Set follow up appointments to establish a regular route so buyers can count on you., • While the product is important, our industry is relationship driven at its core. YOU are the most important asset in the equation., • Our Sales Associates benefit from our powerful Marketing outreach effort, Social Media presence, supportive peer to peer culture, prompt commission payments direct deposited bimonthly, and our Company’s track record of long-term relationships with our vendors and team members. Since 1983, we have worked diligently to earn the trust, loyalty, and confidence of our partners and proudly tout our positive and harmonious relationships as a badge of honor. Commission based on results, selling a wide variety of products to a vast spectrum of retail stores. Experience, skills, and traits that make this position a good fit include: • Possess an entrepreneurial spirit, • Previously owned or run a small business, • Accustomed to working independently, setting your own goals, and meeting objectives, • Have a sincere interest in building relationships, • Thrive by working independently and driving your business to meet and exceed vendor goals, • Enjoy the freedom, yet have the self-discipline, to manage yourself, time, and accomplishments without supervision, • Have an innate passion for being in outside sales and are genuinely committed to add value to your buyer and vendor partners, • Naturally at ease to initiate contact and build rapport to establish new relationships and build them, • Being organized, detail oriented, and understanding the importance of planning your time and your appointment objectives ahead of time., • Comfortable juggling multiple tasks, • Flourish working on commission and enjoy the benefit of controlling your own income and time Please visit our website and/or social media to see more about our company Resume with a cover letter should be sent to

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. About tvScientific tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business. tvScientific is looking for a Senior MLOps Engineer! You'll be working with a distributed engineering team on our ___, as we scale our Machine Learning practice. We've cracked the code on optimizing TV ad campaigns. We're scaling massively and we need your help to make that scale sustainable. An Idealab company, tvScientific was co-founded by executives with deep roots in programmatic advertising and digital media. tvScientific helps our clients buy ads across the CTV universe, from Hulu to PlutoTV to the ad-supported tier of Disney+ and (HBO) Max. Since our acquisition by Pinterest, we're expanding our work on CTV to lift search & social advertising performance. What you'll do: • Scale the decisionmaking process for tools for the tvScientific AI team, from our workflows to our training infrastructure to our Kubernetes deployments, • Improve the developer experience for the data science team, • Upgrade our observability tooling, • Serve as a technical lead and mentor to the team, • Make every deployment smooth as our infrastructure evolves. What we're looking for: • Deep understanding of Linux, • Excellent writing skills, • A systems-oriented mindset, • Experience in high-performance software (RTB, HFT, etc.), • Software engineering experience + reliability (e.g. CI/CD) expertise, • Strong observability instincts, • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs, • Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review), • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables, • Nice-To-Haves:, • Reverse-engineering experience, • Terraform, EKS, or MLOps experience, • Python, Scala, or Zig experience, • NixOS experience, • Adtech or CTV experience, • Experience deploying a distributed system across multiple clouds, • Experience in hard real-time low-latency (<10 ms) environments In-Office Requirement Statement: • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. Relocation Statement: • This position is not eligible for relocation assistance. Visit our___page to learn more about our working model. #LI-SM4 #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$155,584—$320,320 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

Software Engineer – High Performance Systems / ML Infrastructure Location: Mountain View, CA (Hybrid – 3 days onsite) A well-funded, high-growth deep tech company is building next-generation compute infrastructure to support large-scale machine learning workloads. This is a rare opportunity to work across the full stack — from hardware interaction through to system-level performance — in a team focused on solving some of the hardest problems in compute. What you’ll be doing • Build and maintain functional and performance models of custom hardware, • Develop tools to support debugging, validation, and performance analysis, • Work closely with architecture, compiler, runtime, and validation teams, • Contribute to system and architectural decisions, • Identify and implement performance improvements across the stack What they’re looking for • Strong software engineering fundamentals with a focus on performance and maintainability, • Solid understanding of computer architecture, • Experience working in low-level or systems environments, • Ability to work cross-functionally with hardware and software teams Nice to have: • Rust experience, • Experience with simulators or hardware modeling, • Exposure to ML infrastructure or accelerator architectures, • Familiarity with performance optimization and benchmarking Why this role stands out • You’ll be working on real, hard engineering problems at the intersection of hardware and software, • The team is small, highly technical, and moves quickly, • High level of ownership and impact on core system design, • Strong compensation with flexibility between cash and equity Compensation • Broad range depending on experience:, • $220k – $400k base + equity, • Flexible cash vs equity structure

🔸 AI / ML Research Scientist | AI for Scientific Discovery (AI x Bio) 🔸 Competitive Base + Meaningful Equity 🔸 Hybrid (San Francisco) 🔸 AI-First Scientific R&D Company 👉 PLEASE FOLLOW THE KENKOTECH PAGE AND CONNECT WITH THE JOB POSTER We’re working with a well-capitalized, AI-native company building foundation models and learning systems to accelerate breakthroughs across biology and the life sciences. This team isn’t just applying AI to science - they are rethinking how science itself is done. From training models that can reason over biological systems to developing autonomous workflows that generate and test hypotheses, their work sits at the frontier of AI x Bio. They are hiring AI / ML Research Scientists to push the boundaries of what machine learning can do in real-world scientific discovery. This is a deeply technical, research-driven role with direct impact on how new therapies, insights, and technologies are created. 🔸 What You Will Work On • Develop novel machine learning approaches for modeling complex biological systems, • Train and adapt large-scale models (e.g. foundation models, multimodal systems) on scientific data, • Design systems that can reason, generalize, and generate testable scientific hypotheses, • Work closely with engineers and domain experts to bring research into real-world workflows, • Explore emerging paradigms (e.g. agentic systems, self-improving models, automated science) 🔸 What They’re Looking For • Strong background in machine learning / AI (PhD or equivalent industry experience), • Experience developing and training deep learning models from first principles, • Hands-on experience with modern architectures (transformers, diffusion, multimodal models, etc.), • Strong coding ability (Python, PyTorch and/or JAX) 🔸 Bonus Skills • Experience with biological data (genomics, proteomics, drug discovery, etc.), • Experience with large-scale model training or distributed systems, • Experience with LLMs, reasoning systems, or agentic workflows, • Background in reinforcement learning or generative modeling, • Track record of research (papers, open-source, or impactful industry work) 🔸 Location & Work Environment This is a hybrid role. While remote candidates in the Eastern Time Zone (U.S.) are welcome, there is a preference for individuals able to periodically collaborate in person with the team. Interested candidates should apply via direct message or LinkedIn application.

About Company :: Bristlecone is a supply chain and business analytics advisor, serving customers across a wide range of industries. Rated by Gartner as among the top ten system integrators in the supply chain space, we are uniquely positioned to solve contemporary business problems, with supply chain and analytics focus as our advantage. We have been a trusted partner and advisor to many leading, globally recognized companies such as Applied Materials, Exxon Mobil, Flextronics, LSI Logic, Mahindra, Motorola, Nestle, Palm, Qatar Petroleum, Ranbaxy, Unilever and Whirlpool and many others About the Role We are looking for a Senior Manager of Data Science to lead the end-to-end design, development, and deployment of advanced machine learning solutions for supply chain demand forecasting and root cause analysis. This is a hands-on leadership role — you will architect the analytical framework, guide a cross-functional team of data scientists, and serve as the primary technical interface with senior stakeholders. Required Qualifications Experience • 12–15 years of progressive experience in data science, machine learning, or quantitative analytics — with at least 4 years in a lead or management role, • Proven track record delivering end-to-end ML pipelines in production environments — from raw data through model deployment and monitoring, • Hands-on experience with demand forecasting, supply chain analytics, or operations research in an industrial, manufacturing, or distribution context, • Demonstrated experience leading cross-functional analytics teams, including offshore or distributed team members, • Experience presenting complex analytical findings to C-level and VP-level stakeholders with measurable business impact Technical Skills • Expert-level proficiency in Python: scikit-learn, XGBoost, LightGBM, statsmodels, pandas, numpy, scipy, • Deep expertise in ensemble methods — gradient boosting (GBM, XGBoost, LightGBM) and random forest variants including quantile regression forests, • Proficiency in probabilistic forecasting: quantile regression, prediction interval construction and calibration, Winkler scoring, pinball loss, • Strong statistical foundation: hypothesis testing, KS tests, distribution shift detection, time-series analysis (ACF, PACF, change-point detection), • Experience with feature engineering for time-series and supply chain data: lag features, rolling statistics, Fourier encoding, interaction terms, • Proficiency with experiment tracking and MLOps tooling (MLflow, DVC, or equivalent); familiarity with CI/CD for ML pipelines, • Ability to write and review production-quality Python code; experience with SQL for data extraction and transformation, • Familiarity with cloud platforms (AWS, Azure, or GCP) for model training, deployment, and scheduled execution Education • Master's degree or PhD in Data Science, Statistics, Machine Learning, Operations Research, Industrial Engineering, or a related quantitative field, • Bachelor's degree in a quantitative discipline with equivalent industry experience considered Preferred Qualifications • Experience with intermittent demand modelling: Croston method, Syntetos-Boylan Approximation (SBA), ADI-CV² classification, • Familiarity with Forecast Value Add (FVA) frameworks and multi-layer forecast override governance, • Experience with inflection point detection and structural break analysis in demand time series, • Background in consulting or professional services — experience running client-facing analytical engagements with gate reviews and formal deliverables, • Familiarity with S&OP (Sales and Operations Planning) processes and integrated business planning cycles, • Experience deploying analytical tools in enterprise environments with IT security and compliance constraints, • Publications, conference presentations, or open-source contributions in ML, forecasting, or supply chain analytics People & Delivery Leadership • Lead, mentor, and develop a team of 3–6 data scientists across US and India; provide technical guidance, career development support, and performance feedback, • Define team roadmap, prioritise work streams, and ensure on-time delivery against project milestones — including intermediate client-facing outputs at each analytical phase, • Collaborate closely with the India-based Lead Data Scientist to ensure seamless coordination across time zones; act as the primary technical escalation point for the offshore team, • Conduct design validation workshops, cluster review sessions, and gate reviews with business stakeholders at each phase of the analytical cycle, • Translate complex ML findings into business-language reports and executive presentations, clearly communicating what was found, why it matters, and what action to take Privacy Notice Declarations for California based candidates/Jobs::

About CT Labs ___ is an AI consultancy firm focused on building and deploying applied AI solutions for clients across industries. We work with organizations to identify where intelligent systems create real value, then we build and implement them. About the role We are looking for an AI Consultant who combines technical depth with strong client-facing skills. You will own the full consulting cycle: discovery, solution design, delivery, and adoption. This is not a purely advisory role; you will get your hands on the work. What you will do Lead client discovery sessions to identify AI use cases and assess feasibility. Develop solution recommendations across machine learning, NLP, generative AI, and automation. Manage project delivery in collaboration with internal engineers and data scientists. Present technical roadmaps and outcomes to executive stakeholders. Advise clients on AI governance, risk, and change management. Stay current with tools and models and proactively share relevant insights with clients. What we are looking for 3+ years of experience in AI consulting, applied ML, or a related field. Hands-on experience with machine learning frameworks and large language models. Ability to communicate technical concepts clearly to non-technical audiences. Strong project management skills and a comfort level managing multiple clients simultaneously. Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or equivalent experience. Nice to have Experience in a specific vertical such as healthcare, finance, or retail. Background in change management or organizational transformation. Prior experience at a consulting firm. What CT Labs offers Substantive work on real client problems. A team that values technical excellence and clear thinking. Direct impact without layers of bureaucracy. Competitive compensation and benefits.

Locations : Boston | Chicago | Pittsburgh | New York | Brooklyn | Miami | Dallas | San Francisco | Seattle | Los Angeles | Manhattan Beach | Washington Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do About the AISI Fellowship The Boston Consulting Group's AI Science Institute (AISI) is launching a postdoctoral fellowship program designed to empower the next generation of applied science leaders. This elite, industry-adjacent program offers PhDs and early-career scientists the opportunity to work on some of the world's most complex and high-impact scientific problems using cutting-edge AI, in collaboration with top-tier partners across aerospace, healthcare, energy, and materials science. Fellows will operate at the intersection of foundational research, real-world deployment, and strategic impact, helping shape breakthrough workstreams with AISI partners. Unlike traditional academic or big-tech postdocs, AISI fellows work on problems where the science, the data, and the deployment context are all partially undefined. Fellows are expected not only to advance models or methods, but to shape problem formulation, data strategy, and downstream impact alongside senior scientists, engineers, and industry leaders. What You'll Bring * Lead or contribute to multi-disciplinary research initiatives that apply machine learning, simulation, optimization, or GenAI to real-world scientific domains. * Collaborate with BCG X teams and external stakeholders, including scientists, engineers, business leaders, to frame and solve complex technical problems. * Author internal and external research outputs, with opportunities to publish in top journals or co-develop IP with partners. * Design reproducible, scalable workflows that translate state-of-the-art models into practical tools for discovery and experimentation. * Serve as a scientific ambassador across AISI projects, bringing rigor, creativity, and a passion for impact. * Engage directly, as appropriate, with client or partner R&D teams to translate research insights into deployable solutions, with support from senior BCG X leaders. * Contribute to AISI priority research themes, which may include (illustrative, non-exhaustive): * AI-accelerated materials discovery and optimization * Scientific foundation models (biology, chemistry, climate, or physical systems) * Simulation-augmented learning (e.g., physics-informed ML, RL + simulators) * Compute-enabling technologies (chip design, process optimization, algorithm-hardware co-design) * Quantum algorithms and hybrid classical-quantum workflows Who You'll Work With Program Details * Duration: 24 months, with possibility of transition into full-time role at BCG X. * Mentorship: Each fellow will be paired with a senior advisor and a technical/scientific lead from BCG X and a partner institution. * Resources: Full access to BCG's infrastructure, compute resources, research datasets, and partner ecosystems. * Compensation: Competitive salary aligned with industry postdoc benchmarks, plus support for publishing, conference travel, and IP generation. Fellows are encouraged to publish in top-tier venues unless constrained by client confidentiality or strategic IP considerations; in such cases, alternative external-facing research outputs (e.g., methods papers, open-source tools, or delayed publications) will be supported. What Success Looks Like By Month 6 * Leading or co-leading a defined AISI research workstream * Delivering models, methods, or code integrated into an active project * Establishing a clear publication and/or IP trajectory identified By Month 12 * Producing at least one external-facing research output, such as a paper, preprint, workshop, or open-source contribution. * Being recognized internally as a go-to contributor in a priority scientific domain. * Actively collaborating with at least one external partner or client R&D team. By Month 24 * Delivering multiple high-quality research outputs and/or patented IP. * Establishing a clear path to a permanent role at BCG X or strong placement into a top-tier industry or research position. Additional info Why Join AISI? * Work on projects that matter from geospatial intelligence to drug discovery to next-gen material discovery. * Collaborate with leading researchers, product builders, and Fortune 500 clients shaping the frontier of AI-assisted scientific discovery. * Design and explore high-upside ideas that align with your research vision and AISI's strategic priorities. * Help build the foundational talent model for AISI as it scales into a global scientific innovation engine. What This Fellowship Is Not * A traditional academic postdoc with a single PI and a narrowly defined research agenda. * A consulting role focused on slide production or short-term delivery. * A pure ML engineering role detached from scientific problem-solving. How to Apply * Submit your Resume/CV and a 1-2 page statement of interest combined in one pdf (research background, domains of interest, and why AISI) * Share any relevant links to publications, code, or personal projects You must live within a reasonable commuting distance of your home office. As a member of that office, it is expected you will be in the office as directed. This role puts you on an accelerated path of personal and professional growth and development and so, at times, requires extended working hours. Our work often requires travel to client sites. FOR U.S. APPLICANTS: BCG is an Equal Employment Opportunity employer and is committed to a policy of administering all employment decisions and actions without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. The first-year base compensation for this role is $158,400. At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members. * That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: * Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children * Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs * Dental coverage, including up to $5,000 in orthodontia benefits * Vision insurance with coverage for both glasses and contact lenses annually * Reimbursement for gym memberships and other fitness activities * Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan * Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement * Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) * Paid sick time on an as needed basis *Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here () for more information on E-Verify.

LatentView Analytics is a leading global analytics and decision sciences provider, delivering solutions that help companies drive digital transformation and use data to gain a competitive advantage. With analytics solutions that provide a 360-degree view of the digital consumer, fuel machine learning capabilities, and support artificial intelligence initiatives., LatentView Analytics enables leading global brands to predict new revenue streams, anticipate product trends and popularity, improve customer retention rates, optimize investment decisions, and turn unstructured data into valuable business assets. Responsibilities & Essential Duties: • Design and deploy innovative approval, qualification, and segmentation strategies that maximize application approval rates while achieving credit loss targets, • Develop and maintain underwriting policies that define minimum acceptance criteria and policy declines for segments outside Mulligan’s risk appetite, • Create statistically grounded credit limit assignment frameworks that optimize lifetime customer value while managing downside risk, • Design pricing and interest rate strategies, including testing frameworks, to ensure adequate loss coverage, strong borrower selection, and high customer take-up rates, • Optimize data collection strategies by balancing the information value of data against customer friction and operational cost, • Partner closely with the manual underwriting team to build a hybrid risk framework that integrates analytical strategies with expert manual review, ensuring consistent execution and continuous feedback loops. This would require innovative credit strategy tooling to create differentiated credit pathways for applications based on their profile, loan amount exposure and complexity of underwriting required, • Collaborate with Product, Engineering, and Data Science teams to design and deploy scalable infrastructure that enables rapid iteration and refinement of credit strategies, • Establish robust portfolio monitoring and reporting processes to track approval rates, credit performance, and risk metrics against expectations, • Apply a thoughtful, forward-looking approach to portfolio construction to ensure assets are resilient across economic cycles and attractive to debt investors on a risk-adjusted basis, • Incorporate macroeconomic trends and forward-looking risk signals into credit strategy to ensure ongoing relevance in evolving market conditions Qualifications: • 8+ years of relevant experience in commercial risk data science and credit strategy within a fintech or banking environment, • At least 3–4 years of hands-on experience designing, calibrating, and managing credit strategies for Merchant Cash Advance (MCA) products; prior MCA credit strategy experience is required, • Strong experience overseeing model deployment, execution, and monitoring within a production environment; ML Ops experience is highly preferred Master’s degree in Data Science, Statistics, Economics, Finance, or a related quantitative discipline required Education: • Bachelor’s degree in a related quantitative field such as Data Science, Statistics, Mathematics, Economics, Finance, or Engineering required., • Master’s degree in Data Science, Statistics, Economics, Finance, or a related quantitative discipline required. At LatentView Analytics, we value a diverse, inclusive workforce and provide equal employment opportunities for all applicants and employees. All qualified applicants for employment will be considered without regard to an individual's race, colour, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws.

We are looking for a Vision-Language-Action (VLA) Research Engineer to help build the next generation of intelligent robotic systems. In this role, you will work at the intersection of computer vision, language models, and embodied control, developing models that allow robots to perceive the world, reason with language, and take meaningful actions in real-world environments. You will collaborate closely with systems engineers to translate cutting-edge research into scalable, real-world robotic capabilities. Responsibilities • Design, implement, and evaluate Vision-Language-Action models for embodied agents and robotic systems, • Develop multimodal learning pipelines combining visual perception, language understanding, and action/control, • Train and fine-tune large-scale models using simulation and real-world robotic data, • Explore approaches such as imitation learning, reinforcement learning, foundation models, and policy learning, • Integrate perception and decision-making models with robotic hardware and simulators, • Conduct experiments, analyze results, and iterate rapidly on model architectures, • Collaborate on research publications, internal reports, and technical documentation, • Stay current with the latest research in robotics, multimodal learning, and foundation models Qualifications • Strong background in machine learning, robotics, computer vision, or NLP, • Experience with deep learning frameworks (e.g., PyTorch, JAX, TensorFlow), • Hands-on experience with vision-language models, policy learning, or embodied AI, • Solid programming skills in Python (C++ a plus), • Familiarity with robotics concepts such as control, kinematics, sensors, or simulation, • Ability to read, implement, and extend research papers Preferred Qualifications • Experience training or deploying Vision-Language-Action or multimodal foundation models, • Experience with robotic simulators (e.g., Isaac Sim, MuJoCo, Habitat, Gazebo), • Background in reinforcement learning, imitation learning, or offline RL, • Experience working with real robotic platforms (manipulation, navigation, mobile robots, etc.), • Publications in top-tier conferences or journals (e.g., RSS, ICRA, CoRL, NeurIPS, ICML, CVPR), • Experience scaling training pipelines on distributed or cloud systems

About Us TheMathCompany (MathCo®) is a global Enterprise AI and Analytics company trusted by leading Fortune 500 and Global 2000 enterprises for data-driven decision-making. Founded in 2016, MathCo builds custom AI and advanced analytics solutions that solve complex business challenges through our innovative hybrid model. NucliOS, MathCo’s proprietary platform, enables connected intelligence at a lower total cost of ownership (TCO). At MathCo, we foster an open, transparent, and collaborative culture. We value capability and attitude over tenure, offering exciting growth opportunities that empower our Mathemagicians to Leave a Mark. Role Description We are seeking an Engagement Manager with deep technical grounding in Recommender Systems and Personalization to lead complex, high-impact engagements with enterprise clients in the retail and e-commerce domain. This role combines client leadership, delivery ownership, and hands-on analytics expertise. You’ll partner with business and data science teams to define the recommendation strategy, design and operationalize AI-driven personalization systems, and ensure measurable business outcomes. The ideal candidate is fluent in both client engagement and machine learning, capable of translating recommendation models (BERT, NCF, content-based, and collaborative filtering) into actionable business value. Key Responsibilities • Own the client relationship and act as the strategic interface between MathCo and senior stakeholders at large retail or e-commerce enterprises., • Lead the end-to-end delivery of recommendation system projects — from problem framing and modeling approach to deployment and performance optimization., • Oversee technical discussions on model architecture, feature engineering, loss/activation functions, and evaluation metrics (e.g., NDCG, MAP)., • Translate analytical outcomes into clear, data-backed recommendations that influence business strategy and drive measurable impact., • Collaborate closely with cross-functional teams (Data Engineering, MLOps, and Product) to operationalize recommender systems using modern AI tech stacks (TensorFlow, PyTorch, BERT, NCF)., • Build and mentor a team of data scientists and machine learning engineers, ensuring best practices in project management, technical quality, and client communication., • Strong hands-on understanding of recommender systems, personalization algorithms, and ranking models., • Deep familiarity with BERT, NCF, neural network architectures, and feature embedding methods., • Proficiency in Python, with experience in TensorFlow / PyTorch frameworks., • Working knowledge of data pipelines, feature stores, and MLOps practices., • Excellent client-facing skills: can communicate complex technical solutions in a clear and business-relevant way., • Ability to lead analytical engagements, align multiple stakeholders, and manage delivery timelines in dynamic environments., • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related quantitative discipline., • Master’s in Business Analytics, Data Science, or equivalent is preferred., • 6–10 years of total experience, including at least 3–4 years in machine learning or recommender systems projects., • Embody MathCo’s culture of ownership, transparency, and excellence., • Demonstrate curiosity and initiative in solving client problems through data., • Coach and inspire your team to deliver exceptional impact., • Foster diversity of thought and collaboration across teams.

About Company :: Bristlecone is a supply chain and business analytics advisor, serving customers across a wide range of industries. Rated by Gartner as among the top ten system integrators in the supply chain space, we are uniquely positioned to solve contemporary business problems, with supply chain and analytics focus as our advantage. We have been a trusted partner and advisor to many leading, globally recognized companies such as Applied Materials, Exxon Mobil, Flextronics, LSI Logic, Mahindra, Motorola, Nestle, Palm, Qatar Petroleum, Ranbaxy, Unilever and Whirlpool and many others About the Role We are hiring a Lead Data Scientist to be the primary technical engine of our supply chain demand forecasting and root cause analysis platform. This is a hands-on senior individual contributor role with significant ownership — you will implement, validate, and maintain the full ML pipeline, working closely with the US-based Senior Manager. Required Qualifications Experience • 9–12 years of hands-on experience in data science or machine learning — with a strong emphasis on Python-based ML engineering in production environments, • 3+ years of experience with time-series forecasting or supply chain analytics in a commercial context, • Demonstrated experience building end-to-end ML pipelines from raw tabular data through model output and reporting — not just notebook prototyping, • Experience working in cross-functional teams with stakeholders across business, IT, and analytics; ideally in a consulting or professional services environment, • Track record of delivering high-quality, well-documented, reviewable code in a team setting Technical Skills • Expert-level Python: scikit-learn, pandas, numpy, scipy, joblib — able to write production-grade, optimised code for large datasets, • Deep hands-on experience with ensemble methods: gradient boosting (GBM, XGBoost, LightGBM) and Random Forest — including hyperparameter tuning and performance diagnostics, • Proficiency in quantile regression and probabilistic forecasting: building tree-level percentile prediction intervals, measuring PI coverage (Winkler score, pinball loss), and detecting quantile crossing violations, • Strong statistical skills: KS 2-sample tests, ACF/PACF analysis, change-point detection, IQR outlier detection, Pearson/Spearman correlation, • Proficiency with SQL for data extraction, transformation, and validation, • Familiarity with version control (Git), experiment reproducibility (SEED management, config-driven pipelines), and collaborative development workflows Education • Master's degree or PhD in Data Science, Statistics, Computer Science, Machine Learning, Operations Research, or a related quantitative field, • Bachelor's degree with equivalent industry experience in a quantitative discipline considered Privacy Notice Declarations for California based candidates/Jobs::

Conduit's FactoryOS platform allows manufacturers to scale production ready automation solutions in days, not months. With a suite of powerful applications, we allow manufacturers to automate faster and smarter by coordinating every robot, machine, and system on one platform. At Conduit, our mission is to give every American manufacturer the power to automate their factories at lightning speed. We’re already deployed in production at top manufacturers and growing fast. Backed by leading investors, and built by a team that moves at light speed with deep conviction in American industrial dominance. The Role As the Founding Design Engineer, you’ll define the visual and interaction DNA of Conduit — the next-generation automation platform that’s transforming how factories modernize. You’ll craft the foundational product experience that unites engineers, operators, and machines through a single orchestration layer. Your work will guide how people see, touch, and understand automation itself. What you'll do Design how humans interact with robots. You’ll create the interfaces, gestures, and feedback loops that define the future relationship between people and machines — from mobile robots on the floor to analytics dashboards in the cloud. • Shape the core product language. From early conceptual sketches to high-fidelity interfaces, you’ll define the design system and interaction principles that scale across Conduit’s ecosystem — from fleet control to mission planning to AI-assisted insights., • Design workflows that feel inevitable. You’ll translate complex industrial processes into intuitive, visual logic — building interfaces that make data, devices, and automation feel human and alive., • Prototype relentlessly. You’ll bring ideas to life through motion, mockups, and working prototypes that validate and inspire., • Lead with insight. You’ll partner closely with our forward-deployed engineers and customers on factory floors, gathering insights directly from the people who run automation every day., • Bridge design and engineering. You’ll collaborate with software and robotics engineers to ship elegant, performant designs — fluent enough in HTML, CSS, TypeScript, and component systems to make the possible real. You have A founder-mindset designer — you care about building a platform from first principles, not just polishing pixels. • Fluent in interaction design, visual hierarchy, and storytelling through interfaces., • Experienced with prototyping and motion tools (Figma, Framer, or similar)., • Comfortable in technical, high-context environments — you love learning how systems actually work., • Excited by the idea of being the first — establishing the creative north star for a platform that will define modern manufacturing. What we offer • Top tier pay and equity: We want to make it easy to be at Conduit., • Generational opportunity. Be early at a company defining the software layer for industrial automation., • American reindustrialization is happening. We’re building the platform to make it real — faster., • Zero bureaucracy. High impact. You’ll be on the front lines, solving real problems for real factories., • You will level up. You’ll work directly with the founder and exec team. Interested candidates email resume, cover letter, and GitHub to Conduit is an equal opportunity employer. We welcome applications from all qualified candidates.

Lead Data Scientist San Francisco, CA (Hybrid – 3 days/week) Salary: $170-190,000 base + equity Contact: A fast-growing, tech-driven healthcare platform is seeking a Lead Data Scientist (AI/ML) to help build and scale next-generation AI products that support medical professionals at scale. The Opportunity You’ll work with massive, real-world datasets to design, optimize, and evaluate AI-driven products used by healthcare professionals nationwide. This role sits close to product and leadership, with the opportunity to influence both technical direction and product strategy. What You’ll Do • Build, train, and optimize machine learning and AI models powering core product features, • Work with large-scale datasets to generate insights and improve model performance, • Partner with product, engineering, and analytics teams to define and execute data-driven initiatives, • Design and implement experimentation frameworks to evaluate model and product performance, • Translate complex technical outputs into clear, actionable insights for stakeholders, • Contribute to the broader data and AI strategy, helping shape future product direction What We’re Looking For • Strong foundation in statistics, including experimentation, probability, and exploratory analysis, • 5+ years of experience in data science, machine learning, or related roles working with large, complex datasets, • Hands-on experience building and deploying machine learning models in production, • Experience with modern ML techniques, including deep learning and LLMs (e.g., fine-tuning, evaluation), • Proficiency in Python and SQL, with strong coding and data manipulation skills, • Experience with scalable data processing (e.g., distributed systems, large-scale pipelines), • Ability to communicate technical insights clearly to non-technical stakeholders, • Strong product mindset with a focus on driving measurable impact Why This Role? • Work on AI products with real-world healthcare impact, • Access to large-scale, proprietary datasets, • Highly collaborative, product-driven environment, • Opportunity to shape AI strategy at scale, • Competitive compensation: $170K–$248K total comp (base + equity)

About the company My client is building autonomous AI systems designed to operate in real-world healthcare environments. Their agents function as digital clinicians and care coordinators that support patients across the full care journey, including intake, triage, navigation, post-visit follow-up, side effect monitoring, and medication adherence. These systems maintain contextual memory across interactions and can take bounded clinical actions within defined safety protocols. Their platform is evaluated on safety, continuous improvement, and measurable impact on patient health. Agents operate autonomously within validated clinical scopes, with explicit escalation pathways and human handoff boundaries. As performance is validated across populations, those scopes expand. They are a venture-backed company working in partnership with leading academic medical organizations. Their platform is already supporting high-volume patient interactions and is scaling rapidly. About the role As a Research Scientist, you will define and lead the company’s research strategy around AI agent evaluation and clinical validation. You will design rigorous studies, establish evaluation standards for safety and performance, and publish work that advances the scientific foundation of healthcare AI. This is a senior research leadership role focused on building credibility through reproducible, peer-reviewed science. Healthcare AI research often lacks open benchmarks and strong methodology. You will help change that by setting a higher bar for transparency and rigor. What you’ll do • Lead research on agent evaluation, simulation testing, and safety boundary analysis, • Publish papers and preprints at top academic venues, • Design studies linking agent behavior to clinical outcomes, • Develop frameworks to identify demographic bias and fairness risks, • Coordinate research partnerships with academic medical collaborators, • Ensure datasets and methodologies are publicly accessible and reproducible, • Manage regulatory and ethics review processes (including IRB coordination), • Present research at conferences and represent the company in the scientific community What We're Looking for: • PhD in machine learning, computer science, statistics, computational health, or a related field from a top institution, • Strong publication record in top-tier venues (e.g., NeurIPS, ICML, ICLR, AAAI, CHIL), • Experience with evaluation frameworks, benchmarking, or AI safety research, • Track record of reproducible research using public datasets, • Ability to translate research insights into production improvements, • Exceptional scientific writing and communication skills, • Experience collaborating with academic institutions Nice to have • Experience at leading academic or industry AI research labs, • Publications in AI evaluation, fairness, safety, or healthcare ML, • Clinical study design experience or familiarity with IRB processes, • Background in simulation or synthetic data evaluation, • History of successful academia–industry collaboration This role is Onsite in NYC or SF

Research Scientist San Francisco (On-Site) About the Role We are looking for exceptional researchers and research engineers to design and build the next generation of AI benchmarks. You will create high-impact, challenging evaluations that push the boundaries of what we can measure in foundation models. This role is perfect for someone with deep research expertise who wants to see their work directly influence how the world evaluates AI systems. You will lead the design and development of novel benchmarks that assess real-world capabilities of LLMs. Our benchmark shapes how foundation models are developed and generative AI applications are built. We work with all the major foundation model labs, some of the largest financial institutions, and hospital systems in the world. Our work has been featured by the Wall Street Journal, Washington Post, and Bloomberg. We are building the standard for evaluating the ability of LLMs to perform real-world tasks. You will be at the forefront of defining what that standard looks like. What You'll Do • Design and develop novel, high-impact benchmarks that assess challenging real-world capabilities, • Conduct research to ensure our benchmarks are valid, reliable, and meaningful, • Collaborate with foundation model labs and enterprises to understand evaluation needs, • Analyze model performance across benchmarks and communicate findings, • Publish research findings and contribute to the broader evaluation research community, • Work closely with the infrastructure team to implement your benchmark designs at scale, • Stay current with the latest developments in LLM capabilities and evaluation methodologies Requirements • Advanced research experience: Master's degree or PhD in Computer Science, NLP, Machine Learning, or related field. Undergrads with very strong research backgrounds may also be considered., • Publication track record: Published papers in reputable venues (NeurIPS, ICML, ACL, EMNLP, etc.) with a focus on NLP, ML evaluation, or benchmarking, • Research methodology: Strong understanding of experimental design, statistical analysis, and evaluation frameworks, • Technical skills: Proficiency in Python for research and experimentation, • Communication: Ability to clearly communicate complex research ideas to both technical and non-technical audiences, • Collaboration: Experience working in research teams and integrating feedback, • Portfolio: Demonstrated track record of impactful research work, • Location: We are an in-person team based in San Francisco. We will support your relocation or transportation as needed. Nice to Haves • Experience specifically in LLM evaluation or benchmarking research, • Familiarity with foundation model architectures and capabilities, • Experience working with industry partners or in applied research settings, • Background in areas like human-computer interaction, psychology, or domain-specific evaluation, • Experience at early-stage startups or research labs, • Contributions to open-source evaluation tools or datasets

About Thintronics® More Data. Faster. Global data volume traffic has been growing exponentially. The onset of AI applications is expected to make this worse. New insulator technology that enables higher frequency data transmission at lower power consumption is required to scale AI infrastructure, starting with the data center fabric. By synthesizing expertise in bottom-up Molecular Design, Computational Mechanics, and Electrical Engineering, Thintronics is unifying and optimizing the high-speed interconnect insulator, from silicon-to-system, enabling the highest data rates at the lowest power. Thintronics is a start-up company located in Alameda, CA. We are a team of chemists, materials scientists, and engineers shaping the future of data and devices. We offer an exciting start-up environment at the interface of R&D, machine learning-aided product design, manufacturing, and rapid market implementation. Job Role – Who We Want Thintronics is looking for a detail-oriented and enthusiastic research associate to join our R&D Analytical team. This role focuses on physical characterization of samples, including thermal, mechanical, adhesive, and dielectric property measurements. In this position, you will help deepen our understanding of the core Thintronics technology and develop our product pipeline. As part of a start-up team, you will wear many hats. We are looking for someone with a “can-do” attitude, who is excited about the opportunity to explore/develop a broad range of practical skills and loves hands-on work in the lab (≥ 80% of time). Hard work and dedication will be rewarded with fast career advancement opportunities. Roles and responsibilities are collaborative both within the Analytical Team and cross-functionally across the company. Specific duties may evolve based on the needs of our quickly growing company as well as your skillset/interests. Minimum Qualifications: • B.S. in Materials Science, Chemical Engineering, or related discipline, • Previous laboratory experience (e.g., internship), • Must be able to move up to 25 pounds Preferred Qualifications: • M.S. in Materials Science, Chemical Engineering, or related discipline, • 1–5 years of relevant industry/start-up experience, • Experience with polymer/composite formulation and/or thin film fabrication, • Experience operating or maintaining analytical instruments including TGA, DMA, TMA, DSC, rheometer, FTIR, SEM, laser confocal microscope (Keyence), universal testing systems, peel testers, split post dielectric resonator, • Rigorous attention to detail with experimental design, execution, and recordkeeping, • Interest in developing new test methods, • Strong analytical, organizational, teamwork, and time management skills, • Written and verbal ability to convey technical information, • Basic ability to code (e.g., Python) and ability to analyze large data sets, • Ability to juggle multiple tasks efficiently and connect to the bigger picture, • Preference will go to local candidates Level of research associate will depend on overall qualifications, years of experience, and technical assessment during interview process. Compensation/Benefits • Competitive Bay Area salary, • 100% employee coverage for Health/Vision/Dental Insurance, • Unlimited PTO policy + Company Holidays, • Equity/Stock Options Interested Candidates: Please submit your resume and a 1-page cover letter that details your interest in the company in addition to why you would be a strong fit via email to: with “Analytical Associate Candidate” as the subject line.

Senior Product Manager Location: Hybrid – New York, NY; Los Angeles, CA; or San Francisco, CA (2 days per week in office) About the Opportunity We are a high-growth technology company transforming the TV and Connected TV (CTV) advertising ecosystem through AI, machine learning, and advanced analytics. Our platform modernizes media buying across linear and streaming environments, bringing automation, intelligence, and measurable performance to an industry historically driven by manual processes. As TV and CTV continue to evolve, we are building AI-first tools that empower marketers to plan, launch, and optimize campaigns with speed and precision. The Role As Senior Product Manager, Buying & Execution, you will play a key role in redefining how TV advertising operates in an AI-driven world. You will own the end-to-end product strategy and execution for campaign buying and execution workflows, helping build an AI-powered, self-serve platform that transforms years of TV and CTV data into actionable intelligence. Operating at the intersection of Product, Engineering, Data Science, and Media teams, you will define requirements, write user stories, prioritize features, and drive delivery for campaign management capabilities across programmatic and direct TV. Success in this role requires strong product ownership, disciplined execution, and a deep understanding of advertiser workflows. Key Responsibilities • Own the product vision, roadmap, and execution for TV media buying and execution workflows, end-to-end, • Define and deliver AI-powered automation features that differentiate the platform, • Translate business and customer needs into clear, prioritized product requirements, • Drive feature prioritization and trade-off decisions based on impact, scalability, and business value, • Partner cross-functionally with Engineering, Data Science, Media Buying, Marketing, and Leadership to ensure strong alignment and successful launches, • Monitor industry trends, competitive dynamics, and emerging AI technologies to maintain product leadership, • Use data, experimentation, and customer feedback to continuously iterate and improve performance Qualifications • 4+ years of Product Management experience in AdTech, with deep expertise in streaming and programmatic CTV advertising (linear TV experience strongly preferred), • Proven track record of shipping impactful products, including building new capabilities from the ground up, • Strong communicator and influencer, comfortable presenting product vision and roadmap decisions to executive stakeholders, • Highly customer-centric with strong skills in user discovery, user story development, and solving complex workflow challenges, • Experience partnering with Design to deliver thoughtful, research-informed user experiences, • Passion for automation and AI-driven innovation, balanced with an execution-oriented mindset, • Comfortable operating in ambiguity within fast-paced environments Nice to Have • Experience working with AI/ML-powered products or data-driven optimization systems, • Familiarity with TV measurement, attribution, or identity-related challenges Compensation & Benefits • Equity compensation, • Comprehensive health insurance (including dependents), • 401(k), FSA, and commuter benefits, • $150 monthly wellness/spending account, • $1,000 annual professional development allowance, • $500 new hire productivity stipend, • Unlimited PTO and sick time, • Monthly company-wide wellness day, • Office snacks, beverages, and catered lunches, • Team-building events Work Model: Hybrid schedule with 2 in-office days per week in New York, Los Angeles, or San Francisco.

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world's toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. Internships at Planet: Planet's Summer 2026 internships are full-time, paid 12-week positions located in our San Francisco HQ Office. Program Dates: • June 1 - August 21 The Manufacturing Software Infrastructure Team builds the tools and systems that enable our team to scale. We tackle projects large and small, from building our own in-house Manufacturing Execution System (MES) to automating deployments to our hardware testing stations. Our systems track manufacturing processes and data, spacecraft test results, telemetry, and much more. We collect tons of data and metrics, and use this to feed back into the teams for continual process improvement. As a member of the software infrastructure team, you will be responsible for building and deploying features used by spacecraft engineers and technicians, collaborating with other teams to build or use API integrations, troubleshoot complex problems, and fearlessly experiment with new methods and technologies. For this role, we are specifically looking for an individual with considerable experience in integrating artificial intelligence models into existing tools and systems. This individual will be experimenting with a relatively new technology and blazing the trail for its integration into our production systems. To be successful in this role, the candidate should be self-directed; eager to conduct research and bring new knowledge to the team; be unafraid to experiment, iterate, and backtrack; and be able to apply their existing knowledge and experience to a new domain. This is a full-time, in-office position based in our San Francisco office 5 days per week. Impact You'll Own: • Research and develop AI tools to solve manufacturing systems problems, • Develop and document new APIs and database schemas, • Collaborate with team members, • Interview users to gather feedback and requirements, then develop and present mockups for review, • Implement new features on the frontend and backend, then demo these features for the team, • Develop prototypes and proof of concepts, • Currently enrolled in a graduate program in the field of artificial intelligence, Machine Learning and LLMs, or a related field, • Experience using ML methods to classify data, • Experience with MCP, skills, and other methods to enable tool use by LLMs, • Experience integrating with or building REST APIs, • Web development experience April 5, 2026 at 11:59p PT EAR/ITAR Requirements: This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate's ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls. Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. • Commuter Benefits, • Paid time off for holidays and company-wide days off, • Internet reimbursement The US hourly rate range for this position at the commencement of employment is $35 - $60. The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. San Francisco Salary Range$37—$60 USD San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We're dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That's why Planet is guided by an ultimate north star of Belonging-dreaming big as we approach our ongoing work. If this job intrigues you, but you're thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don't just fill positions, we aspire to fulfill people's careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you're excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. ___ Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the ___, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the ___, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We are currently exploring AI interviewing technologies to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a Planet AI Notetaker for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools-e.g. Large Language Models (LLMs), deep fake technology, etc.-is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As a Staff Agent Post-Training MLRE, you will build out our next-gen Agent RL training platform. You'll build out the platform that will train best-in-class Agents that achieve state of the art results on real enterprise use-cases. You'll integrate cutting edge research into our training stack, enabling MLREs on the Enterprise AI team to deploy use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models. If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you! You will: • Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers., • Research cutting edge algorithms to integrate directly into our training stack., • 5+ years of LLM training in a production environment, • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc., • Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small. Supported by operating principles of being strategy-led, ___-based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! At Anaplan, we believe the most powerful business transformations are led by people who are relentlessly curious and brave enough to challenge the status quo. We are looking for a highly experienced technical strategist and innovator who enjoys solving business problems with enterprise AI solutions. This isn't about demoing software; it's about architecting a new future for how the world's leading companies plan, decide, and act. As an AI Specialist SC, you will join our presales team supporting some of our largest global customers. You will focus on our core offerings in machine learning, how do we apply best in class ML, position it appropriately, and have the right technical discussions to be able to drive impact for our global customers. You will collaborate closely with our product teams, sales, domain specialists, business value consultants, customer success, and partners to bring our AI vision to life. • Lead the AI Revolution: Decision-making is moving at an unprecedented speed. You will be at the forefront, helping business leaders move beyond traditional analytics to embrace forecasting automation, agentic workflows, and real-time ML-driven insights., • Drive Transformative Impact: You'll work with decision-makers at leading enterprise organizations, architecting solutions that impact thousands of employees and billions in revenue., • Build Deep Partnerships: You'll straddle the line between our product teams and go-to-market strategies, ensuring customer needs are met while driving technical wins in the sales process., • Define the Future: You'll represent one of the fastest-growing enterprise AI platforms, with a career path to match your ambition. You will be a key voice in applying innovation to solve real-world business challenges., • Be the go-to technical expert for our ML capabilities, across multiple frameworks, data modeling, and planning applications., • Lead technical discovery sessions to uncover critical business needs and identify opportunities for ML & AI-driven transformation., • Present our POV, solutions and value to customers as part of broader sales motions, narrative-driven demos, AI workshops, and proofs-of-concepts., • Coordinate with specialist and product teams to position multi-product solutions and mature complex, AI-focused opportunities to close., • Serve as the voice of the customer to our product and engineering teams, ensuring your insights from the field shape the future of Anaplan's AI platform., • Degree in mathematics, statistics, machine learning, data science, physics, computer science, engineering, or another quantitative field., • Proficiency in Python and SQL (with a focus on data & analytics applications)., • A strong grasp of the forecasting and analytics landscape, including business intelligence, machine learning, how to apply them effectively in different scenarios., • Professional experience in cloud-based software from market-leading providers such as AWS, MS Azure, or Google Cloud., • 5+ years of experience in a technical data science role, technical solution engineering, or ML/AI-driven presales role (SaaS/enterprise software preferred)., • Effective communication and presentation skills, particularly the ability to explain complex analytical and machine learning concepts in a comprehensible manner to different audiences, from business managers to technical engineering teams., • Experience with Supply Chain planning processes, with a focus on retail verticals is highly preferred. We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Anaplan does not: • Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.

Come join our legal team to work on the most exciting legal, policy, and operational issues at the leading edge of AI. We're seeking strong product lawyers with specialized expertise in intellectual property law. As product counsel, you will advise on all legal aspects of product development, launch, and operations - including regulatory compliance, user terms, and risk management - while bringing deep expertise in your specialized legal area. The ideal candidate will have deep subject matter expertise in intellectual property law, a technology background, and a demonstrable history of providing practical product counsel to solve complex, time-sensitive problems in close partnership with cross-functional teams. This role reoprts to the Associate General Counsel, IP & Product. • Strategic Product Advice: Lead IP strategy for product development, embedding IP protection into the full product lifecycle from conception to commercialization, while also advising on related product and regulatory matters in collaboration with the broader legal team., • Cross-Functional Collaboration: Partner with Research, Product, Engineering, Operations, Communications, and Marketing teams to mitigate IP risks in product development, data licensing, and open-source governance., • IP Counsel: Support management of Scale's worldwide IP portfolio including patents and trademarks; assist with patent prosecution and trademark registration and enforcement., • Risk Mitigation: Advise on third-party, synthetic, and open-source data and models, ensuring compliance with licensing requirements; design open-source governance policies., • Agreements: Support drafting and negotiation of commercial agreement provisions involving intellectual property., • Specialized Expertise: Provide counsel on machine learning, robotics, and other technical areas, with ability to engage effectively with technical teams on complex engineering and product issues., • Training: Develop and deliver IP and data licensing training to enhance Scale's compliance culture., • Experience: 5+ years of experience in intellectual property law at a top-tier law firm and/or in-house legal department (ideally product counseling within a high-growth technology company). Experience advising on broader product or regulatory matters is a plus., • Education: JD and active membership in at least one U.S. state bar (California preferred) in good standing., • Strategic Thinking: Ability to think strategically at a high level and from deep in the details to drive complex problem-solving and develop creative, business-forward solutions., • Risk Calibration: Ability to calibrate risk, distinguish business from legal risk, and communicate it clearly to executive, business, and technical audiences., • Collaboration: Roll-up-your-sleeves attitude to tackle projects large and small with a low-ego, collaborative approach across the organization., • Agility and Organization: Ability to think quickly in a fast-paced environment with excellent organizational and communication skills., • Technical Fluency: Deep interest in artificial intelligence, generative AI, and machine learning technology, with the ability to engage effectively with technical teams. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$231,000—$288,750 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About the Role Scale is at the frontier of Generative AI and human-AI collaboration. The Gen AI Ops Trust and Safety team protects contributor integrity across a marketplace of hundreds of thousands of contributors training foundation models. We're looking for a modeling-focused Data Science Lead who ships fast, thinks in systems, and uses AI coding tools as a core part of their workflow. This is a high-autonomy IC role. You will own fraud and abuse detection models end-to-end - from label definition through feature engineering, training, evaluation, and production deployment. You'll work in a small team that operates at 10x velocity by pairing deep analytical judgment with AI-augmented development (Cursor, Claude Code). If you've felt limited by teams that move slowly or separate "analysis" from "building," this role eliminates that gap entirely. • Own the model lifecycle - from label definition through feature engineering, training, evaluation, and production deployment. Ground truth is ambiguous and non-binary; you'll need to make it work anyway., • Build and extend the feature store - design and productize signals across identity, behavioral, and third-party data sources that power detection models reliably at scale., • Design and ship detection systems - not just notebooks. Rules, clustering, anomaly detection - all the way to production decisions., • Move fast with AI tools - use AI-assisted IDE and copilots daily to prototype pipelines, run investigations, and automate workflows. This is how the team operates., • Partner with Ops and Engineering to close the loop between model output and real-world actions, and continuously improve the contributor experience., • 5-8 years in Data Science or Machine Learning, with at least one production fraud/abuse/integrity model shipped end to end (labels features deployment iteration)., • Strong proficiency with AI coding assistants. You should already be using these tools daily and understand how to leverage them for rapid SQL/Python development, data exploration, and code generation - not as a novelty but as a core workflow., • Deep feature engineering instinct - you see a messy behavioral log and immediately think about what signals it contains, how to extract them, and whether they'll hold up adversarially., • Expert SQL and Python. Comfortable writing 200+ line CTEs, building data pipelines, and working with large-scale event data., • Experience with unsupervised methods (clustering, anomaly detection) alongside supervised classification. Bonus if you've worked with semi-supervised approaches for noisy labels., • Comfort operating across the full stack: Snowflake DDLs, Python modeling, rule engines, alerting systems, Google Docs/Sheets automation, workflow orchestration., • Clear, direct communication. You can explain a model's precision/recall tradeoff to an ops lead and debug a Snowflake query in the same afternoon., • Marketplace or gig-economy platform experience., • Experience building linkage/graph-based detection., • Familiarity with identity verification vendors and their signal taxonomies., • Experience building automated alerting and monitoring pipelines. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of San Francisco is:$198,000—$247,500 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Drafted Drafted is unlocking creativity in the physical world. We’re building foundational models and generative pipelines that create floor plans and renderings instantly, so anyone can imagine their dream home. Starting with single-family homes, we plan to verticalize across all dimensions of the pre-construction stack. Generative architecture is a prime domain for applied research with abundant data, verifiable constraints, and a clear value proposition. Our team of second-time founders, engineers, and designers pairs exceptional product taste with deep technical rigor to turn real-world buildability constraints into an intuitive, creative experience. Drafted's Values We're a small team working fully in-person in San Francisco. We value high-ownership builders who want to be a part of a talented, highly motivated team. We're guided by the following values: • Own the mission. We take agency, act like owners, and see problems through to real outcomes., • Build in the open. We value direct feedback, fast learning, and growth through honest collaboration., • Move with care and speed. We iterate quickly while staying deeply respectful of our teammates., • Seek the why. We challenge assumptions, think from first principles, and never stop asking questions., • Design for everyone. We believe anyone should be able to design and build a home they love., • Solve what matters. We embrace hard problems and create new paths forward when none exist. The Role As a design engineer, you’ll contribute meaningfully to the end-to-end experience, from prompting and ideation workflows to the tools users rely on to iterate, edit, and visualize their designs. Our product blends exceptional product craft with deep technical work, so you’ll collaborate closely with design, engineering, and research. Example Projects • Design, implement, & iterate on editing generated plans using our existing machine learning model capabilities., • Design, implement, and iterate on how users guide the output home design with new model controls (i.e. multi-floor, exterior design, etc)., • Design, implement, and iterate on the existing user interface to reduce friction and increase the number of users creating a home they love. Desired Skillset • 5+ years experience coding, • ⁠Experience with making high quality, detailed, and maximally implementable Figma designs, • ⁠⁠Experience writing Next.js + Tailwind front ends, • Experience with Typescript backend code using standard relational databases Salary Range • $150k - $200k + 1-2% equity

Enterprise Account Executive – Fiddler AI About the Company- Fiddler is a fast-growing AI company focused on helping organizations build trust in artificial intelligence. As AI technologies—particularly Generative AI and autonomous agents—continue to evolve, businesses face increasing challenges around transparency, reliability, and governance. Fiddler’s platform helps organizations monitor, evaluate, secure, and improve their AI systems in production. By providing deep visibility into how AI models behave, the platform enables engineering, data science, and business teams to understand the “what, why, and how” behind AI outcomes, allowing them to deploy AI solutions responsibly and at scale. The company partners with AI-first organizations to establish long-term frameworks for responsible AI practices—ultimately helping build trust with their users and stakeholders. Leadership The company is backed by leading venture capital firms including Insight Partners, Lightspeed Venture Partners, and Lux Capital. Fiddler has also been widely recognised for its innovation in AI Observability, including: • Andreessen Horowitz (a16z) Data50 – 2022, • CB Insights AI 100 – 2021, • World Economic Forum Technology Pioneer – 2020, • Forbes AI 50 – 2020, • Gartner Cool Vendor in Enterprise AI Governance – 2019 The Opportunity- Fiddler, is looking to hire an Enterprise Account Executive to help drive the company’s continued growth within enterprise markets. This role focuses on developing strategic relationships with enterprise customers, identifying complex AI and machine learning challenges, and positioning Fiddler’s platform as a trusted solution. The successful candidate will be responsible for translating technical product capabilities into clear business value for senior stakeholders. What You’ll Be Responsible For- • Driving new revenue by prospecting, developing relationships, and closing enterprise deals with key decision-makers., • Building awareness of Fiddler’s platform within target accounts and territories, identifying strategic opportunities for growth., • Managing complex enterprise sales cycles involving multiple stakeholders, procurement processes, and budgets., • Understanding customer challenges related to AI models and demonstrating how the Fiddler platform addresses those needs., • Articulating clear business value propositions and differentiating Fiddler from competing solutions., • Developing and executing go-to-market strategies to generate pipeline and accelerate demand., • Consistently achieving or exceeding pipeline, activity, and revenue targets., • Operating independently with strong ownership and accountability., • Collaborating with internal teams to support broader company growth., • Traveling as required (approximately 10–25%). What We are Looking For- • 5+ years of enterprise or outside sales experience, • Experience selling within Data, Big Data, Machine Learning, or AI environments, • Proven ability to sell technical solutions to technical audiences, including developers and data scientists, • Strong understanding of Machine Learning or Artificial Intelligence concepts, • Experience with cloud and enterprise technology environments, • Knowledge of MLOps and AI model governance (desirable), • Experience targeting financial services organizations is beneficial

🚀 Founding Account Executive | Hybrid – San Francisco An early-stage B2B SaaS company serving engineering and product teams is hiring its first Account Executive. You’ll work directly with the CEO to build the go-to-market motion from the ground up. This is a true 0→1 role. No polished sales machine. No big SDR team. No hand-holding. If you want ownership, upside, and influence — keep reading. What You’ll Do • Own the full sales cycle (prospect → close), • Build pipeline yourself, • Sell to technical buyers (engineering, DevOps, product leaders), • Help shape pricing, messaging, and GTM strategy, • Close your first deal in month one Who This Is For • 3–7+ years closing SaaS deals, • Startup or early-stage experience strongly preferred, • Comfortable selling technical / developer-focused products, • Self-sourced pipeline closer, • High ownership, high learning velocity, high experimentation mindset, • Strong backgrounds from companies like Faros, Code Climate, DX, Honeycomb, Datadog, Rootly, QA Wolf, LaunchDarkly, or similar technical SaaS environments. Compensation • $100K–$140K base, • 50/50 OTE, • 15% commission + accelerators Work Setup Hybrid role – 1–2 days per week in office (California Street, SF). Early team chemistry matters. If you’ve been waiting for a real founding AE seat — not just the title — this is it. DM me or apply directly.

On-Target Earnings (OTE) Range San Francisco: the pay range for this role is $189,000 to $259,500 per year. About this role Faire's quality, depth, and breadth of brands is its strongest value to retailers. The Enterprise Account Executive role sits at the center of our enterprise brand acquisition efforts — partnering with larger, more complex brands to bring them onto the Faire platform. You'll own a book of strategic prospects, navigate multi-stakeholder sales cycles, and help shape how we approach enterprise partnerships as a team.This role is for you if you've sold into mid-market or upper mid-market environments where deals involve 5-6 stakeholders, span multiple quarters, and require building business cases that resonate across departments. You're a strong storyteller who understands change management and knows how to frame value for decision-makers who are protective of their existing distribution strategies. What you’ll do • Own and execute against a quarterly quota of GMV and brand activations, managing a pipeline of strategic enterprise prospects, • Navigate complex, multi-stakeholder sales cycles (typically 6-9 months) by building relationships across departments and handling objections at each level, • Develop tailored proposals and business cases that align Faire's value with each prospect's specific goals and constraints, • Partner with cross-functional teams - including Product, Strategy & Analytics, and Revenue Operations - to refine our enterprise sales motion and share market, • insights, • Contribute to the evolution of our sales playbook, value props, and outreach strategies based on what you learn in the field, • Meet prospects in person when needed to build trust and accelerate deal velocity Qualifications • 5+ years of closing experience in B2B technology sales, ideally in mid-market or upper mid-market environments, • Track record of managing complex sales cycles with multiple stakeholders and long timelines, • Experience selling products or services that require change management or business model evolution on the buyer's side, • Strong storytelling ability - you can articulate value clearly and build narrative around why a prospect should act, • Comfort with ambiguity and a bias toward action; you figure things out and move forward, • Retail, e-commerce, or marketplace experience is a strong plus, • Based in or willing to relocate to San Francisco On-Target Earnings (OTE) Range San Francisco: the pay range for this role is $189,000 to $259,500 per year. This role will also be eligible for equity and benefits. Actual On-Target Earnings (OTE) will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The OTE range provided is subject to change and may be modified in the future. Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Why you’ll love working at Faire • We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is taking part in the founding process., • We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners., • We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy., • We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality. Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our___. Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our ___ (___

About Nosis Bio: Nosis Bio is a well-funded biotech startup exclusively focused on cell-specific delivery of RNA therapeutics. We are an all-scientist team of biologists, chemists, and machine learning experts that believe targeted extrahepatic delivery is the only thing preventing RNA therapies from becoming the standard-of-care for most chronic diseases. We combine deep expertise in receptor biology, generative AI, and high throughput in vivo data generation to exponentially accelerate the development of RNA therapeutics for new tissues. We are addressing a major unmet need across the industry and actively partner with pharmaceutical companies, research institutions, and biotech. About the Role: We are seeking a Technical Specialist / Research Associate to conduct in-vivo experiments to evaluate the pharmacokinetics (PK) and pharmacodynamics (PD) properties of therapeutic candidates. The successful candidate will have hands-on experience with in-vivo animal studies and will work closely with multidisciplinary teams to support various drug discovery projects. Responsibilities • Perform in-vivo PK/PD studies in animal models, including intravenous (IV) and subcutaneous dose administration, blood sampling, tissue collection, and necropsy, • Ensure proper animal handling and dosing techniques, following established protocols and ethical guidelines., • Assist in the execution of in-vivo studies to support the evaluation of drug properties, • Collect, organize, and document experimental data accurately and maintain laboratory records in compliance with company protocols and regulatory standards., • Collaborate with cross-functional teams, including biology, chemistry, and translational science, to support project goals and timelines., • Ensure compliance with all animal care and use guidelines, and follow company SOPs and safety protocols. What we’re looking for: • Ability to work on site in our lab spaces located in the California Bay Area – Research park at Marina Village (Alameda, CA), • Motivated and proactive with strong problem-solving skills., • Team-oriented and open to collaboration across scientific disciplines., • Title and track is dependent on academic and professional experience – we recruit diverse backgrounds including those with academic, non-profit, and industry experiences!, • General Requirement: AS or BS degree with 3+ yrs in vivo experience (industry or academia) and 1+ yrs industry (or similar) experience, • Ideal Qualifications: ALAT or equivalent certification

SBT is the exclusive retained recruiting firm for this position. Company Overview This confidential startup is a well-funded early-stage semiconductor company focused on advancing AI-driven design to address emerging challenges in the artificial intelligence ecosystem. The company is developing innovative technologies that leverage automation and machine learning to accelerate the design and development of complex analog semiconductor solutions. By applying AI to traditionally manual and time-intensive design processes, the organization aims to unlock faster innovation cycles and enable the next generation of AI hardware infrastructure. Job Role • Design and implement digital control logic for power management ICs, • Work closely with analog engineering teams to ensure effective integration between digital control blocks and analog power circuitry, • Develop high-quality, power-efficient RTL using Verilog or SystemVerilog to support key features, • Contribute to product readiness for manufacturing by supporting design-for-test methodologies, • Create and execute comprehensive verification strategies, including mixed-signal simulations and behavioral modeling Qualifications • BS or MS degree in Electrical Engineering, Computer Engineering, or a related field., • 10+ years of experience in digital IC design, including significant experience developing solutions for mixed-signal or power management semiconductor products., • Strong proficiency in RTL development using Verilog or SystemVerilog for synthesizable digital design., • Hands-on experience designing digital control logic for power conversion systems, including control loops used in power management or DC-DC converter applications.

The Opportunity: The Sales Representative is responsible for successfully pursuing net new business opportunities and managing existing customer accounts to achieve our annual sales objectives. The Sales Representative prospects and engages new customers to develop new business for our plants, manages current customer relationships. The Sales Representative will partner with management to complete budget planning, work with the area operations teams to sell open machine capacity and value-added services while supporting cross-functional teams to ensure sales strategy execution. How you will impact Smurfit Westrock: Business Excellence • Effectively articulate our sales vision and strategy in the pursuit of new business opportunities, develop a robust sales pipeline, and manage select existing customer relationships, • Ability to navigate within a customer’s organizational structure and build relationships at multiple levels within accounts, • Drive Commercial Excellence to exceed our area volume and profit goals through new account development within targeted segments, growth in existing accounts, actively participate in margin improvement initiatives and both drive and support enterprise sales efforts, • Develop working relationships with other Smurfit Westrock facilities to create opportunities for additional revenue streams across the enterprise capabilities, • Identify pricing dynamics within accounts to provide insights to Smurfit Westrock commercial decisions, • Understand market dynamics and business drivers that define long-term commercial strategies and have an impact on our area and develop strategies to reach company objectives, • Utilize internal resources to leverage knowledge of market trends and competition, • Define overall account vision, ‘Play to Win’ and account growth plan for targeted customers by aligning market trends and customer needs with Smurfit Westrock solutions, • Deliver results by executing on weekly, monthly, quarterly, and annual sales targets, • Meet or exceed individual budgeted and volume sales goals to contribute to the organization’s annual targets objectives, • Monitor profitability levels to track progress against budgeted targets and analyze monthly financial summaries, • Effective utilization of CRM system (Salesforce.com) to manage opportunities and pipeline on a consistent basis, • Seek and qualify prospective customers in accordance with Sales strategy, • Collaborate with cross-functional teams to ensure effective execution of the overall Sales strategy, • Collaborate with cross-functional teams to identify value add opportunities to improve margins, • Manage customer engagement through the sales lifecycle to ensure contractual obligations are met and to enable customer satisfaction What you need to succeed: • Bachelor’s degree preferred, • 2-3+ years business-to-business (B2B) Sales experience (Manufacturing/service industry preferred), • Ability to create and deliver engaging presentations to internal and external audiences, • Demonstrated sales competence and financial acumen, • Experience with Salesforce.com, • Microsoft Office – Excel, Outlook What we offer: • Corporate culture based on integrity, respect, accountability, and excellence., • Comprehensive training with numerous learning and development opportunities., • An attractive salary reflecting skills, competencies, and potential., • Benefits package includes medical, dental, vision, life insurance, 401k with match and more!, • A career with a global packaging company where Sustainability, Safety and Inclusion are business drivers and foundational elements of the daily work.

Scale works with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and eval to enhance LLM capabilities in both text and multimodal modalities. In this role, you will develop novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models. You will: • Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities., • Design and experiment new approaches to preference optimization., • Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness., • Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field., • Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning., • Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning., • Excellent written and verbal communication skills, • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities. Our Research teams work with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. As a Staff Machine Learning Research Scientist on the LLM Evals team, you will lead the development of novel evaluation methodologies, metrics, and benchmarks to measure the capabilities and limitations of frontier LLMs. You will help define what "good" looks like in generative AI, driving research that informs both our internal roadmap and the broader research community. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs. • Drive research on the effectiveness and limitations of existing LLM evaluation techniques., • Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness., • Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects., • Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols., • Implement scalable and reproducible evaluation pipelines using modern ML frameworks., • Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives., • Mentor and guide research scientists and engineers, providing technical leadership across cross-functional projects., • Stay deeply engaged with the ML research community, tracking emerging work and contributing to the advancement of LLM evaluation science., • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results., • 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development, • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience tech leading a team of research scientists and research engineers, • Excellent written and verbal communication skills, • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is seeking highly skilled and motivated Software Engineers to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in delivering high-impact AI-powered mission solutions for government customers. Our scalable and high-performance platform forms the foundation for these solutions, and your expertise will be instrumental in designing and implementing systems that can handle billions of data points with exceptional performance. You will: • Design and implement scalable backend systems for Federal customers, leveraging Scale's modern and cloud-native AI infrastructure, • Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments, • Develop distributed systems, data-intensive applications, and machine learning infrastructure to enable real impact for mission owners, • Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions, • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions, • Contribute to the platform roadmap and product strategy for Scale AI's Federal business, playing a key role in shaping the future direction of our offerings, • This role will require an active TS/SCI security clearance or the ability to obtain a security clearance. Ideally you'd have: • Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases, • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus, • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles, • Machine Learning Infrastructure: Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and experience in designing and implementing machine learning infrastructure. Understanding of model serving, monitoring, and deployment strategies is beneficial, • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles, • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Enterprise ML team works on the front lines of the AI revolution, partnering deeply with customers to identify high-impact business problems and build cutting-edge AI systems using Scale's proprietary research, data, and infrastructure-unlocking domain expertise through high-quality data and expert feedback. As Director of Enterprise ML, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You'll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery. This role is ideal for a leader who thrives in ambiguity, understands both frontier GenAI capabilities and their limitations, and is motivated by turning research into durable, production-ready systems. What You'll Do • Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments)., • Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution., • Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes., • Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally., • Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent., • Stay deeply connected to the research community, understanding major trends, and helping set them. Core Qualifications • 8+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains., • A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.)., • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience leading or managing research teams. You're excited to mentor, coach and develop talent., • Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders., • Hands-on experience building and deploying agent-based, tool-augmented, or workflow-driven LLM systems in enterprise environments, • Prior ownership of enterprise AI platforms, internal ML products, or customer-facing AI services at scale About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

< Who we are At Twilio, we're shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to___and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to ___, and strong culture of connection and global inclusion means that no matter your location, you're part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we're acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! . See yourself at Twilio Join the team as our next Staff Software Engineer in the Enterprise AI Engineering team. About the job Twilio is undergoing a major business transformation powered by Enterprise AI, supported by a dedicated engineering team building the foundations for a unified, secure, and scalable operating system across GTM functions (Sales, Support, Operations, etc.) as well as Internal non-GTM functions (Finance, HR, Legal, etc.) Our platform is designed to support a multitude of business functions by deploying intelligent agentic solutions that automate complex workflows and deliver unprecedented user experiences. We're building the future of work at Twilio, and this role offers the opportunity to be at the forefront of enterprise AI innovation. This role focuses specifically on transforming how Twilio's Customer Support organization operates through AI-powered tools and agentic products. As a Staff Machine Learning Engineer within Enterprise AI Engineering, you will be instrumental in developing supervised machine learning (ML) propensity models as well as state-of-the-art GenAI/LLM-powered applications. Your solutions will cater to the dynamic needs of Twilio's diverse verticals and our extensive customer base. This role offers an exciting opportunity to harness the power of advanced machine learning technologies to drive innovation and efficiency. As a member of this team, you will have the opportunity to work on groundbreaking projects that directly impact the efficiency and success of our customers. You will collaborate with talented professionals who are as driven and enthusiastic about AI and Machine Learning as you are. Your contributions will be crucial in shaping the future of AI at Twilio, and you will have the support and resources needed to innovate and excel. Responsibilities In this role, you'll: • Develop and Deploy AI/ML Models: Build and deploy machine learning models by leveraging NLP, recommendation systems & GenAI-powered applications, to production environments, ensuring they meet the diverse needs of Twilio's verticals and customer base., • Collaborate Across Teams: Work closely with product, program, analytics, and engineering teams to implement and refine machine learning, statistical, and forecasting models that drive business outcomes., • Utilize Advanced Technical Stack: Leverage our technical stack, including Python, SQL, R, AWS (Sagemaker, Lambda, S3, Kendra), MySQL, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Keras, to develop robust and scalable AI/ML solutions., • Integrate Enterprise Data Sources: Effectively utilize enterprise data sources like Salesforce and Zendesk to inform model development and enhance predictive accuracy. Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: • 5+ years of applied ML engineering experience, • Develop and Deploy AI Models: Build and deploy machine learning models leveraging NLP techniques and GenAI-powered applications, to production environments, ensuring they meet the diverse needs of Twilio's verticals and customer base., • Collaborate Across Teams: Work closely with product, program, analytics, and engineering teams to implement and refine machine learning, statistical, and forecasting models that drive business outcomes., • Utilize Advanced Technical Stack: Leverage our technical stack, including Python, SQL, R, AWS (Sagemaker, Lambda, S3, Kendra), MySQL, Airtable, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Keras, to develop robust and scalable AI/ML solutions., • Integrate Enterprise Data Sources: Effectively utilize enterprise data sources like Salesforce and Zendesk to inform model development and enhance predictive accuracy., • Familiarity with using LLMs (OpenAI, Claude, Gemini, Llama etc.), RAG, Agents, Model Fine-tuning, Few-shot prompting, Prompt Engineering., • Experience with Python-specific frameworks such as Llamaindex, Langchain, Streamlit, Gradio, FastHTML, Chainlit etc. This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation The estimated pay ranges for this role are as follows: • Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $188,240 - $235,300., • Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $199,280 - $249,100., • Based in the San Francisco Bay area, California: $221,360- $276,700. Application deadline information Applications for this role are intended to be accepted until April 30th, 2026 but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values - something we call ___. Additionally, we empower employees to build ___ by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, ___ Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Scale plays a vital role in the development of AI applications. Our customer base is growing exponentially, and you will be on the front lines, ensuring that the world's most innovative companies become passionate, lifelong Scale customers. Solutions Engineers partner closely with AEs, Product, and MLEs to lead prospective customers through pre-sales, delivering customized demos and pilots to secure the "technical win". Solutions Engineers scope customer technical requirements and develop an actionable SOW. They will work closely with the delivery team to help with initial implementation. Solutions Engineers are relentlessly curious about customer needs and pain points. They employ their expert Scale product knowledge and GenAI knowledge to design solutions that best address these needs. Solutions Engineers are strong relationship builders, great project managers, and provide technical expertise. You will: • Partner with Scale AEs on the customer journey, delivering tailored demos and prototypes according to the customer's requirements., • Develop technical domain expertise in Generative AI / large language model applications for Enterprise use cases, including customers in financial services, insurance, SaaS, and similar enterprises., • Be accountable for securing the "technical win" by unblocking technical challenges, • Interact with customers daily to understand their needs and design solutions to better serve them., • Design and develop "Scopes of Work" by breaking down customer challenges into a project plan, • Work closely with forward-deployed Software and Machine learning Engineers to develop agents in the initial post-sales stage, • Work with AEs and PMs to identify customer-specific feature requests., • Strong engineering background with prior experience working with clients in a pre or post-sales capacity to realize business goals., • Prior experience developing with Python, Java and/or other web development languages., • Experience working in enterprise SaaS, cloud tech, finance, fintech or similar industries in a technical capacity with end-customer engagement., • A track record as a self-starter, motivated to independently unblock technical issues in the field with the customer, away from the mothership., • Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers., • High level of comfort communicating effectively across internal and external organizations., • GenAI Experience, • Forward deployed engineering experience About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Scale Scale's mission is to accelerate the development of AI applications. To build the best models, you need the best data-and Scale delivers exactly that. Our Generative AI Platform uses enterprise data to safely customize powerful foundation models, unlocking AI value across industries. The Scale Data Engine provides end-to-end capabilities for data collection, curation, annotation, model evaluation, safety, and optimization. We power many of the world's most advanced LLMs and generative systems through world-class RLHF, data generation, evaluation, and alignment. Leading technology companies (Microsoft, Meta), enterprises (Fox, Accenture), AI innovators (OpenAI, Cohere), and U.S. Government agencies (U.S. Army, U.S. Air Force) trust Scale to deliver the mission-critical data and infrastructure behind their AI initiatives. As Scale continues rapid growth, our Recruiting team is essential to achieving our ambitious technical hiring goals. We're seeking a skilled Technical Sourcer to partner closely with our Engineering and AI organizations, hiring world-class Software Engineers, Applied AI Engineers, and Machine Learning Engineers. This is a high-impact role where you will shape hiring strategy, build top talent pipelines, and deliver an exceptional candidate experience that reflects Scale's values of excellence, velocity, and innovation. • Review and screen inbound applicants to identify high-potential candidates., • Drive strategic outbound sourcing efforts to attract top-tier talent across a variety of roles spanning software engineering, AI/ML, and/or product talent., • Partner closely with hiring managers and business leaders to understand team needs, then design and execute sourcing strategies that deliver results., • Adapt and evolve with our processes as the company grows, always seeking ways to improve efficiency and impact., • Stay informed on talent market trends, salary benchmarks, and competitive intel to help shape hiring strategies., • Use data to inform your work-track key metrics and translate insights into actionable recommendations for hiring partners., • Collaborate cross-functionally with recruiters, coordinators, and interviewers to ensure a smooth and transparent candidate experience., • Build strong, trust-based relationships with candidates, understanding their goals and ensuring an exceptional, personalized journey from first contact to close. What We're Looking For: • 2+ years of sourcing or recruiting experience in a fast-paced, high-growth environment., • A proven track record of sourcing top talent., • Strong market mapping and talent research skills-you know how to uncover hard-to-find profiles and where they live., • A data-driven mindset with the ability to communicate metrics and insights to stakeholders., • Passion for delivering an outstanding candidate experience, including being the go-to liaison for candidate updates and support. Bonus Points: • Experience working in an early-stage startup or ambiguous environment., • Exposure to full-cycle recruiting, or a strong interest in developing those skills., • Comfort managing candidate communications end-to-end with a white-glove, personalized approach. This is a Contract role, the salary range for this position is $60 - 70 per hour. This position is tied to our San Francisco office and requires coming into the office 3 times a week. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. We are looking for a Data Scientist to join our marketing org. As a Data Scientist you introduce greater scientific rigor into the marketing measurement and optimization processes to shape Pinterest's revenue growth and marketing strategy. The results of your work will influence and drive strategic decisions for the company - identify investment opportunities for growth, understand revenue growth and behavior, and define metrics to grow and sustain our advertiser base. You will collaborate on a wide array of business problems with a diverse set of cross-functional partners across Marketing, Product, Engineering, Analytics and others. The role is within the Marketing team and would be supporting business marketing efforts focused on driving revenue growth for Pinterest. What you'll do: • Lead the design, implementation, and continuous improvement of advanced marketing measurement frameworks and statistical models to quantify marketing ROI. Marketing channels could be different paid media, organic social, email, in person events, webinars, elearning platform etc., • Build and deploy statistical and machine learning models such as propensity, forecasting, and lifetime value (LTV) models-to optimize marketing strategies and enhance audience targeting., • Develop and refine attribution methodologies to evaluate the effectiveness of marketing initiatives across multiple channels., • Assess the incremental impact of marketing activities using causal inference techniques and testing/experiment frameworks., • Conduct deep, strategic analyses to address key business questions, such as how to improve marketing ROI, how to improve marketing budget allocation to optimize the business impact, measuring the impact of marketing in both mature and new markets, identifying opportunities to increase advertiser growth and revenue through marketing initiatives, • Translate complex analytical findings into clear, actionable insights and strategic recommendations for both technical and non-technical stakeholders, including senior leadership., • Design, maintain, and promote dashboards and automated reporting tools to empower stakeholders with self-serve, data-driven decision-making capabilities. Build and optimize ETL data pipelines to automate reporting, support deep dive analysis and feature engineering for analytical models. What we're looking for: • 3+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems., • Masters degree in a quantitative field such as mathematics, statistics, computer science or engineering., • Hands-on experiences with building marketing measurement solutions to quantify the business impact of marketing tactics and investments., • Strong background in statistics and quantitative analysis, with experience in applying advanced statistical techniques to real-world problems., • Expertise in at least one scripting language (ideally Python/R). Proficiency in SQL/Hive. Ability to write efficient SQL queries., • Strong business and product sense. Strong skills in shaping vague questions into well-defined analyses and success metrics that drive business decisions., • Excellent communication skills, able to lead initiatives and communicate findings to the leadership and cross-functional teams. Explains work and thought processes clearly and concisely., • Experience leading key technical projects., • Strong Experimentation background., • Statistical rigor. Experience with causal inference projects. In-Office Requirement Statement: • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection., • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. Relocation Statement: • This position is not eligible for relocation assistance. Visit our___ page to learn more about our working model. #LI-REMOTE #LI-NM4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$114,297—$235,319 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

Scale AI invites applications for aVisiting Faculty position with expertise in Machine Learning in the Healthcare Domain. The ideal candidate will have a strong background in Computer Science, Bioinformatics, or a closely related field, and a proven track record of innovative research in Machine Learning and its Applications in Healthcare Domain. • Develop Cutting Edge Research Program. Key Research Areas: Research interests should ideally align with areas such as:, • Utilizing Electronic Health Records (EHRs) and non-clinical data (e.g., social media) for modeling and predicting health behaviors and outcomes., • Natural Language Processing (NLP), Multi-modal AI, and Large Language Models (LLMs) for processing patient data, understanding clinical outcomes, and ensuring safety, helpfulness and factuality in medical chatbots., • Developing prediction models for clinical issues (e.g., anti-cancer medication discontinuation, velopharyngeal dysfunction, breast cancer)., • Addressing issues of bias and fairness in AI within healthcare., • and deep genomics., • Collaboration: Engage in collaborative research and development with engineers at Scale AI., • A Ph.D. in Computer Science, Biostatistics, Biomedical Informatics, or a closely related quantitative field., • Demonstrated excellence in research with a focus on Machine Learning and NLP applications in Healthcare, evidenced by high-impact publications and/or significant grant funding. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. We are looking for a Director of Machine Learning to lead the Machine Learning function for the Growth organization. This leader will define the longterm ML vision, strategy and operating model that powers user and engagement growth across Pinterest's surfaces and entry points. You will oversee multiple teams of machine learning engineers and managers responsible for core Growth problems such as activation, retention, notifications, SEO, paid acquisition and lifecycle personalization. You'll combine deep technical expertise with strong people leadership and product instincts to deliver industryleading methodologies in recommendation, ranking, experimentation, deep learning and generative AI.As the Director, Machine Learning for Growth, you'll own the health, performance and evolution of our ML ecosystems across Growth. You'll ensure our technology can deliver on the business and product requirements necessary to keep Pinterest as an engaging, inspiring platform for everyone. This means: • Partnering with senior Product, Data Science, and Engineering leadership to set and execute a multiyear strategy for Pinterest's Growth systems., • Defining a unified ML architecture and roadmap for Growth that leverages shared platforms while allowing fast iteration., • Building, developing and retaining a worldclass team of machine learning leaders and engineers. What you'll do: • Own the ML strategy for Growth, • Define and communicate a clear multiyear ML vision, technical strategy and investment roadmap for the Growth organization., • Identify and prioritize the most impactful Growth opportunities where ML can transform user acquisition, activation, engagement depth and retention., • Establish success metrics and frameworks for measuring the impact and quality of Growth ML systems., • Lead and grow highperforming ML teams, • Manage and develop managers and senior/principal ML engineers; grow and scale multiple ML teams supporting different Growth charters., • Build an inclusive, highaccountability culture focused on impact, learning and technical excellence., • Scale your leadership through orgwide best practices, processes, training and tools for ML development, deployment and experimentation., • Drive execution on critical Growth initiatives, • Champion and lead largescale, crossfunctional initiatives that grow user visitation, activation and engagement depth, from ideation through execution., • Ensure solid technical plans are in place for major Growth initiatives, including architecture, data strategy, measurement and risk management., • Partner closely with Product, Engineering, Data Science, Marketing and Sales to align roadmaps and deliver cohesive, endtoend Growth experiences., • Shape our ML platforms and architecture, • Define a unified ML architecture for Growth, in partnership with central platform teams, that supports rapid experimentation and reliable, scalable production systems., • Guide investments in foundational capabilities (feature platforms, training/serving infrastructure, experimentation, monitoring) that unlock leverage for all Growth teams., • Ensure Growth ML systems follow best practices around reliability, performance, privacy and responsible AI., • Influence across Pinterest, • Act as the primary ML point of contact for Growth with executive leadership and crossfunctional partners for a 125+ member org (and growing)., • Represent Growth ML needs and priorities in companywide planning, resource allocation and technical forums., • Evangelize responsible and qualityfirst discovery surfaces that drive user visitations while upholding Pinterest's values. What we're looking for: • Deep expertise building and operating largescale ML systems in production, using modern frameworks (e.g., deep learning, recommendation/ranking systems, reinforcement learning, generative AI)., • Demonstrated success driving Growth or adjacent problem spaces (e.g., activation funnels, notifications, lifecycle marketing, SEO, paid acquisition, or largescale consumer engagement)., • Proven track record of leading multiple ML teams or organizations, including managing managers and setting strategy across a broad portfolio of projects., • Experience defining and executing multiyear technical strategies and roadmaps, and delivering large, crossfunctional initiatives across multiple organizations., • Strong product sense and ability to translate ambiguous business questions into wellstructured ML problems and experiments., • Exceptional written and verbal communication skills, with a proven ability to influence senior leaders and collaborate crossfunctionally., • Commitment to building responsible, usercentric ML systems with high quality, fairness and safety standards., • Degree in Computer Science, Machine Learning, Statistics or a related field, or equivalent practical experience., • 12+ years of professional experience as a handson engineer and technical leader, including 5+ years in people leadership roles (managing managers and senior ICs). InOffice Requirement Statement: • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role., • This role will need to be in the office for inperson collaboration 1-2 times every 6 months and therefore can be situated anywhere in the country. Relocation Statement: • This position is not eligible for relocation assistance. Visit our___ page to learn more about our working model. #LI-REMOTE #LI-AK7 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$267,393—$491,531 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world's toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: Planet is looking for a Senior Engineering Manager with a proven background in guiding and mentoring high-performing engineering teams. In this role, you will be responsible for the Defense Intelligence Integration engineering team. The mission of this team is to bring Planet's catalog of imagery and tasking to large Defense & Intelligence customers. Your work will be highly visible and will directly impact the ability of customers to get faster access to Planet's unprecedented datasets This is very much a "servant leadership" role, with a high emphasis on enabling your team members to do their best work in an environment that sets them up for success. In particular, you'll ensure engineers are unblocked on dependencies, take the lead in defining the team's work, and organize that work in a way that best aligns with organizational and team practices. The team has a highly collaborative culture and is distributed remotely across the Earth. This is a full-time, remote position based in the United States. If located near an office, you are expected to work from that office 3 days per week. Impact You'll Own: • Guide your team of software engineers and data scientists to deliver successful products for the Global Monitoring Service., • Mentor, coach and unblock your team members, helping them succeed and grow their careers., • Ensure efficient shipping of product improvements and features., • Partner with your product management counterpart to define strategy and take tactical decisions., • Refine and implement team processes, including for task planning, code reviews and on-call rotations., • Establish sound engineering practices to build software and design training & inference pipelines., • 6+ years of related experience., • 4+ years of experience as a manager, with ability to build, retain, and grow diverse, geographically dispersed teams., • Bachelor's degree in a relevant field., • Excellent interpersonal skills, both verbal and written, with the ability to explain complex technical issues accurately to technical and non-technical audiences., • Experience in delivering data-intensive software products at scale., • Solid understanding of fundamentals in software engineering, statistics and machine learning., • Success in establishing and evolving operational practices in a software engineering organization., • Experience with change management, managing tech debt, and analyzing tradeoffs in solution builds., • Experience building products using sensor or geospatial data., • Experience working with satellite or airborne earth observations data. May 16, 2026 at 11:59p PT EAR/ITAR Requirements: This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate's ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls. Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. • Comprehensive Medical, Dental, and Vision plans, • Health Savings Account (HSA) with a company contribution, • Generous Paid Time Off in addition to holidays and company-wide days off, • 16 Weeks of Paid Parental Leave, • Wellness Program and Employee Assistance Program (EAP), • Home Office Reimbursement, • Monthly Phone and Internet Reimbursement, • Tuition Reimbursement and access to LinkedIn Learning, • Equity, • Commuter Benefits (if local to an office) The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. New York City + California Salary Range$172,200—$215,200 USDSan Francisco Salary Range$182,900—$228,600 USDUS National Salary Range$160,600—$200,800 USD San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We're dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That's why Planet is guided by an ultimate north star of Belonging-dreaming big as we approach our ongoing work. If this job intrigues you, but you're thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don't just fill positions, we aspire to fulfill people's careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you're excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. ___ Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the ___, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the ___, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We are currently exploring AI interviewing technologies to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a Planet AI Notetaker for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools-e.g. Large Language Models (LLMs), deep fake technology, etc.-is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities. Our Research teams work with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. As the Tech Lead Manager of the LLM Evals Research team, you will lead a talented team of research scientists and research engineers focused on developing and implementing novel evaluation methodologies, metrics, and benchmarks to assess the capabilities and limitations of our cutting-edge LLMs. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs. • Lead a team of highly effective research scientists and research engineers on LLM evals., • Conduct research on the effectiveness and limitations of existing LLM evaluation techniques., • Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness., • Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects., • Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols., • Implement scalable and reproducible evaluation pipelines using modern ML frameworks., • Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives., • Remain up-to-date on ongoing research in the team, help work through technical challenges, and be involved in design decisions, • Remain deeply involved in the research community, both understanding trends, and setting them, • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results., • 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development, • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience supporting and leading a team of research scientists and research engineers, • Excellent written and verbal communication skills, • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals, • Previous experience in a customer facing role. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$280,000—$380,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.