Senior principal scientist jobs in Salinas, CA - 191 jobs

A leading technology company is seeking a Principal Applied AI Scientist to define AI and foundation models' strategic vision, lead groundbreaking research initiatives, and mentor technical talent. Candidates should have a PhD in Computer Science, 8+ years of industry experience, and proficiency in Python and deep learning frameworks. This role emphasizes collaboration, innovation, and the application of advanced AI for real-time data processing. Competitive salary and comprehensive benefits offered in a flexible work environment. #J-18808-Ljbffr

About the Company We are a seed-stage AI company building the industry standard for evaluating and benchmarking large language models on real enterprise tasks. About the Role As a Research Scientist, you will develop new benchmarks, methodologies, and evaluation pipelines that shape how cutting-edge models are assessed, compared, and deployed in production environments. Your work will directly influence model selection and safety decisions across foundation model labs, high-growth AI product companies, and Fortune-scale enterprises. Responsibilities Benchmarking & Model Analysis Evaluate newly released models as they launch (e.g., Gemini, DeepSeek, etc.) Run large-scale assessment workflows using internal evaluation infrastructure Compare model performance across enterprise-grade task categories Design New Benchmarks from Scratch Identify high-value model application domains through research exploration Construct datasets, including labeling strategy and workforce coordination Write short “white-paper-style” summaries explaining benchmark purpose, method, and findings Advance Automated Evaluation Methodologies Improve systems for scoring generated text beyond standard metrics Explore research in reference-free, rubric-based, and human-aligned evaluation Develop new techniques for reliability, consistency, and repeatability Cross-functional Collaboration Work closely with engineering to scale evaluation infra Partner with customers to refine evaluation relevance and task fit Influence product direction through research insights Qualifications 0-3 years post-grad experience (Master's, PhD, or equivalent applied research) Publications, preprints, or demos showing cutting-edge work Experience with diffusion models, NLP, multimodal, or benchmarking work Ability to operate independently with ambiguity Clean, maintainable research codebases Candidates from: top engineering/research universities applied AI startups well-regarded research internships Required Skills Built or contributed to a benchmark or evaluation methodology Experience in enterprise task model evaluation Stanford / top lab adjacency (per their historical hiring success) Preferred Skills Wants to publish as primary motivation Purely academic with slow timelines Big-tech culture fit concerns (Meta / Google / Salesforce specifically noted-but case-by-case) Pay range and compensation package Base Salary: up to $250K depending on background Equity: typically 0.3% - 0.5%, flexibility for exceptional candidates Rapid equity refresh possible based on impact Equal Opportunity Statement Visa sponsorship available. Relocation support. Health & dental coverage. Lunch + dinner provided, snacks & coffee. Unlimited PTO. Weekly happy hours with community guests. Team events (bowling, hiking, rock climbing, etc.). Swag program (hats, etc.). Work Environment & Culture In-person, San Francisco HQ (required). Core hours: 9-5, some teammates extend voluntarily. Most team members work 1 weekend day per week (flexible). High-ownership, low-ego, collaborative. Live demos Mondays, team lunch Thursdays, community Fridays. Early-stage pace, applied focus-not academic publishing. Tech Environment (while research-focused, exposure beneficial) Backend: Python / Django. Frontend: React + TypeScript. Infra: AWS. Evaluation frameworks + internal tooling. Why This Role Is Unique The company already collaborates with foundation model labs, high-growth AI vertical product companies, and Fortune 500 enterprises (not publicly facing). ChatGPT Vals AI $5M seed raised, runway of 2+ years at current burn. Only one research scientist is being hired-true founding impact. Opportunity to define industry standards for model trust, reliability, and certification. Positioned to become the rating agency for generative AI.

We're working with a San Francisco client that's got a research team of 50~ professionals and looking to further expand it. They are specifically looking to flesh out their Research Group by hiring a Research Scientist on a hybrid basis. They have seen $300M in a recent fund raise. Skills targeted: PhD in Physics/ Quantum Physics/ Theory/ Statistics/ Mathematics/ Computational Science or similarly related field. 2+ YoE working with AI Agents. Good exposure to LLMs. Ideally a background in Audio focused research. Alternatively Search, would also be highly advantageous. TC package of $1-1,5M with sizeable base salary & equity package. If that looks of interest, apply & Goliath will be in touch!

About the Role Our client - one of the most ambitious AI research labs is hiring ML Research Scientists, Cheminformatics! With offices based in California and New York, this team is unlocking groundbreaking therapies for patients with severe diseases. They work at the intersection of machine learning, physics, and computational chemistry to advance the development of small molecule drug discovery. Backed by top investors and founded by ex-Google/Stanford Scientists, they are scaling their Cheminformatics team. Why Join? World-Class Research - Work alongside AI pioneers from the most elite institutions and industry labs - Google/Meta/OpenAI/Stanford/Harvard/MIT Massive Compute - Unparalleled access to cutting-edge infrastructure Research - this is about making fundamental advances in deep learning, representation learning, and generative models. Developing SOTA models within active drug programs, taking the lead on model validation, deployment to drive the discovery of new medicines Real-World Impact - Your work won't sit in a paper; it will be deployed in groundbreaking AI systems Who We're Looking For: We're seeking top-tier ML research scientists, Cheminformatics with a strong track record of applying machine learning methods to advance small molecule drug discovery. Your Responsibilities: Cheminformatics expert skilled in molecular data and tools like RDKit and OpenEye. Experienced in experimental drug discovery assays and CADD workflows, from docking to ADME prediction. Proficient data scientist and applied ML engineer, fluent in Python, scikit-learn, and PyTorch. What We're Looking For: PhD in Cheminformatics, Computational Chemistry, Computer Science Expert in advanced modelling techniques, including GNNs, multitask modelling, active learning, and Bayesian optimisation. Experienced in large-scale data management, SQL, data pipelines, and robust approaches to molecule featurisation and model validation. Locations: San Francisco, New York City Package: Salary up to $350,000K + benefits and equity options. Ready to shape the future of AI? Apply now and join a team redefining intelligence.

About the team The World Model team is at the core of Li Auto's long-term vision to redefine intelligent mobility through Physical AI. As part of the Intelligent Driving division, we focus on two strategic pillars: Technical Foresight - Continuously tracking and decoding global innovations in embodied intelligence, world models, autonomous agents, and real-world foundation models. Frontier Research - Conducting exploratory studies and developing foundational capabilities that empower the next generation of autonomous systems. Our mission is to anticipate breakthroughs, translate them into actionable insights, and steer the organization's roadmap in AI planning, decision-making, and simulation. We closely monitor the progress of industry leaders like Tesla and Waymo, while also contributing to top-tier academic outputs. This is a team for researchers who think beyond today's limitations and are driven to architect the AI systems of tomorrow. Duties and responsibilities Lead strategic analysis on global trends in Physical AI, including autonomous driving, embodied intelligence, robotics, and sensorimotor foundation models. Continuously monitor and benchmark key players (e.g., Tesla FSD, Waymo Robotaxi) and emerging technologies in North America and globally. Conduct exploratory research on cutting-edge technologies related to world models, multimodal large models, and planning frameworks in AI. Produce high-quality technical and strategic insight reports for internal stakeholders to inform roadmap and business decisions. Collaborate with R&D and product teams to shape future research directions and support decision-making with clear, data-driven foresight. Participate in academic engagements, including paper drafting and submission to top-tier AI conferences (e.g., NeurIPS, CVPR, ICRA, RSS). Requirements Education/Experience Master's or PhD degree in Artificial Intelligence, Robotics, Computer Science, Cognitive Science, or related disciplines. Minimum 5 years of experience in autonomous driving, embodied AI, strategy research, or related technical domains. Proven experience in technology foresight, strategy consulting, or academic research related to Physical AI is highly preferred. Knowledge Familiar with technical architectures of autonomous driving and Physical AI systems, including planning, simulation, and LLM/VLM integration. Understanding of multimodal foundation models (e.g., GPT-4V, Gemini, MM-ReAct), NeRF/3D scene generation, and decision-making frameworks. Awareness of global industry and academic trends in intelligent mobility and robotics. Skills and Competencies Strong analytical, synthesis, and strategic thinking capabilities. Excellent writing and communication skills in English; bilingual in Chinese is a plus. Ability to work cross-functionally, manage uncertainty, and handle ambiguity in emerging technology domains. Self-motivated, intellectually curious, and oriented toward high-impact results. About Li Auto We're a leading Chinese new energy vehicle company that designs, develops, manufactures, and sells premium smart electric vehicles (EVs). Through product, technology, and business model innovations, we provide families with safer, more comfortable, and more convenient products and services.

We're hiring a Senior LLM Research Scientist to join a well-funded, frontier physical AI startup building systems with general physical ability - AI that can experiment, engineer, and manufacture in the real world. The team is pushing LLMs far beyond chat interfaces and into autonomous, tool-using agents that drive real engineering workflows. These systems operate inside a 20,000 sq ft physical intelligence factory and support a $42M federally funded program, representing one of the most advanced real-world deployments of reasoning-first AI today. This is a small, world-class algorithmic team working from first principles to build long-horizon reasoning, planning, and alignment frameworks for AI systems with real-world consequences. What you'll do: Build advanced planning, decomposition, and structured tool-use frameworks for high-agency LLM agents Lead SFT, RLHF/DPO, verifier-guided RL, and routing strategies to unlock major capability gains Design schemas, tool-call policies, safety constraints, and failure-recovery mechanisms for autonomous agents Drive integration with agent systems to evaluate LLM behavior in real engineering and manufacturing loops Work closely with researchers, systems engineers, and infrastructure teams in a fast-moving research environment What we're looking for: Senior or Principal-level experience in LLM research, reasoning models, agent systems, or structured tool use Strong background in SFT, RLHF, DPO, or verifier-driven RL, with demonstrated impact on model capabilities Deep understanding of long-horizon planning, policy constraints, and behavioral evaluation Comfortable operating across ML research, systems engineering, and real-world toolchains Thrives in high-ownership, first-principles, frontier research environments Location: Redwood City, San Francisco (Onsite preferred)

located in San Francisco, CA Responsibilities of the Scientist/Sr. Scientist (Organ Perfusion): Will lead the design and operation of systems that integrate perfusion, physiology, sensing, actuation, and closed-loop control. Perform identification, characterization, and mitigation of long-horizon failure modes. Apply your expertise in organ perfusion, preservation, and viability assessment. Define measurements, interpret dynamics, and drive improvements in system-level function. Will collaborate with scientists and engineers across the company on a variety of methods inspired by first principles of biology, physics, and chemistry. Ability to comfortably execute familiar assay protocols as well as identifying and implementing unfamiliar protocols to diagnose damage. Propose adjustments to cryopreservation protocol to optimize the health of organs. Requirements of the Scientist/Sr. Scientist (Organ Perfusion): MS or PhD with 2+ years relevant experience working with physiological systems. Must have experience with perfusion, ECMO, organ support, or normothermic preservation. Experience with real-time instrumentation and sensing in biological environments.

We are a group of people united by a strong purpose. We want you to get to know us, and Giuseppe, our very own artificial intelligence. We love good food, but above all, we love the planet, and that's why, to protect it, we reinvent the food industry, one delicious bite at a time, elevating what we eat, through our technology and based on plants. Our recipe has three mega-important components: science, technology, and of course, disruptive talents who work daily to create a better future. At NotCo we are not and do not seek to be the perfect company, but rather the right one. We are here to produce changes, and that is why we dare, fail, and sometimes achieve incredible successes. We are currently looking for a Product Development Scientist for our NotCo B2B Research & Development located in San Francisco, California, requiring an active on-site presence. This position will report to our R&D Sr. Team Lead and the incumbent will work cross-functionally to ensure R&D activities are successfully deployed locally. Responsible for the: Independently conducts day-to-day product development activities as directed by the manager across multiple projects. This includes supporting activities related to the full product lifecycle process (from product concept to successful commercial launch as needed)and supporting process development, scale-up and technology transfer Supports the design and execution of bench-top tests, pilot-plant trials and full-scale formulations to deliver high-quality food products that meet and exceed the sensory, cost, and other performance targets Proactively proposes and uses sensory and analytical analysis to guide and validate the development process Maintains detailed documentation, experiment tracking and outcomes, and documents finished goods and ingredient specifications Provides feedback to project lead regarding relevant technical and process information Communicates proactively and effectively with cross-functional teams, clearly articulating perspectives and trade-offs related to new product development goals Utilizes NotCo's proprietary AI technology to develop and improve food products Supports formula validation activities as well as process development, scale-up and technology transfer Engages in client communications and workshops, bringing technical Maintains detailed documentation across all R&D activities in a timely manner Qualifications / Requirements: Bachelor's degree in Food Engineering, Food Science, Engineering in Biotechnology or a similar discipline. 2 + years of Food R&D experience is desired, preferably across both food and beverage categories. Be agile, adaptable, and thrive in a dynamic and changing culture; works relentlessly to overachieve, anticipate obstacles, and create plans to overcome them. Adapts easily to changing priorities and direction based on new project learnings and team priorities. Demonstrated competency to effectively communicate (oral & written) cross-functionally with solid collaboration skills. Comfortable in client-facing situations and able to communicate complex topics clearly and simply. Excel in a startup environment, is excited to create new procedures and processes from scratch and has a strong entrepreneurial mindset. Be a problem solver, have a general manager mindset, and take the initiative to get the job done Possess strong planning, project management, and execution skills, and the ability to articulate where and how you have used them. Rigorous data-driven/analytical capability and ability and presence to present data effectively to a leadership team Work well in teams and cross-functional groups in a matrixed environment, both regionally and globally Possesses strong computer skills, including a high level of proficiency in MS Office, specifically Excel Authorization to work in the U.S. is required Ability to travel up to 50% of the time, including international travel and extended trips. NotCo is committed to fair and equitable compensation practices. The pay range for this role is $65,000 - $75,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

The e-commerce alliance team aims to serve merchants and creators in the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators. Position Overview: We are looking for an Applied Scientist to join our Global E-Commerce Alliance Team. The individual will be responsible for driving innovative and practical solutions that impact our search system through machine learning models. As part of the role, the Applied Scientist will work with cross-functional teams, influencing decision-making across multiple teams within the business. The successful candidate will have strong expertise in machine learning and have the ability to leverage this to improve our search systems. Responsibilities: * Work collaboratively with cross-functional teams to develop and implement advanced machine learning algorithms to improve the search and recommendation systems. * Define the scope and design end-to-end machine learning models for search systems. * Analyze complex, large-scale data to extract insights and to identify potential areas where our search system can be improved. * Create, test, implement, and iterate on machine learning models to optimize search functions and improve the user experience. * Stay up-to-date with the latest developments in machine learning and search systems. * Present complex findings and algorithms to a non-technical audience and influence decision-making. * Follow strict data governance and privacy policies to ensure that user data is handled with the utmost care.Minimum Qualifications * PhD, Master or Bachelor's degree in Computer Science, Statistics, Mathematics, or related quantitative field. * Extensive experience in machine learning, deep learning, data mining, or artificial intelligence. * Strong programming skills in Python, C++, Java, GO, or similar. * Strong knowledge of search algorithms, information retrieval, and ranking systems. * Excellent problem-solving and analytical skills. * Strong communication skills with the ability to explain complex concepts to a non-technical audience. Preferred Qualifications * Experience with Natural Language Processing (NLP) techniques. * Proven modeling/algorithms competition records on Kaggle or top conferences' challenges. * Proven programming competition records on ICPC, IOI or USACO. * Experience working with recommendation systems, computational advertising, search engine, E-commerce search systems. * Publication records in machine learning or related conferences or journals is a plus.

Lyten is leading an industrial revolution through Lyten 3D Graphene™, a breakthrough supermaterial unlocking a new generation of products - from lithium-sulfur batteries and energy storage systems to concrete admixtures, lightweight composites, and next-generation sensors that are revolutionizing industries. Together, these innovations are making a massive global improvement and driving real-world impact across energy, mobility, construction, and defense. At Lyten, we believe the most meaningful careers begin with purpose - and with people who want to make a difference. We're not just developing advanced supermaterials - we're about to change the world as we know it, reshaping how energy is stored, how products are built, and how progress is made. We're entering an exciting growth phase, scaling production across the U.S. and Europe and expanding our team of engineers, scientists, and innovators. Apply now to join our team and be part of something bigger than yourself - where collaboration, creativity, and purpose come together to build the technologies that will define the next century. About the Role We are seeking a highly skilled Machine Learning Scientist with expertise in environmental sensing and multivariate sensor data analysis. The ideal candidate will design, implement, and optimize models for detecting, localizing, and visualizing airborne compounds in real-world environments. This role requires strong technical depth in ML for sensor fusion, as well as experience with computational modeling of dispersion patterns and 3D visualization of concentration fields. Key Responsibilities · Develop and deploy ML models for detecting and quantifying airborne compounds from multivariate gas sensor data. · Design algorithms to estimate concentration gradients, source localization, and spatiotemporal plume dispersion. · Create 3D visualization tools for mapping gas dispersion and dynamics in the environment, integrating data from a distributed grid of sensors. · Build scalable systems for real-time sensor data ingestion, preprocessing, and fusion across large sensor arrays. · Implement physics-informed ML methods (e.g., CFD-informed priors, Gaussian plume models, graph neural networks for spatial grids). · Collaborate with hardware and embedded systems engineers to ensure ML pipelines are optimized for field deployment. · Prototype and refine 3D mapping tools that enable end-users to monitor airborne compound plumes as volumetric “cloud maps.” · Validate models using both simulated and real-world datasets; design experiments to improve detection accuracy and robustness. Qualifications · Doctorate degree in a relevant field (e.g., chemistry (molecular), materials science, mechanical engineering, electrical engineering, and chemical engineering, computer science) OR Master's degree in a relevant field (e.g., chemistry (molecular), materials science, mechanical engineering, electrical engineering, and chemical engineering, computer science) AND 3+ years of experience in a relevant field leading or contributing to multidisciplinary projects where scope requires reliance on the technical experience of other team members · Strong background in machine learning for time-series and multivariate sensor data. · Experience with computational fluid dynamics (CFD), plume dispersion models, or environmental modeling. · Expertise in 3D data visualization (e.g., Unity, WebGL, Three.js, ParaView, or similar frameworks). · Strong proficiency with Python, TensorFlow/PyTorch, and data visualization libraries. · Familiarity with distributed sensor networks, IoT data pipelines, and real-time analytics. · Ability to integrate physics-based models with data-driven ML approaches. · Track record of publishing, prototyping, or deploying advanced sensing/ML systems. · US Citizen or Permanent Resident due to Export Control/ITARPreferred Skills · Experience with Bayesian inference, spatiotemporal statistics, or probabilistic graphical models. · Knowledge of GIS systems, spatial data indexing, or large-scale environmental datasets. · Familiarity with edge ML deployment (TensorRT, ONNX Runtime, etc.). · Strong data storytelling skills and ability to communicate complex results with intuitive visuals. What We Offer • Opportunity to pioneer next-generation environmental sensing systems. • Work in a cross-disciplinary team combining embedded systems, cloud architecture, and applied ML. Compensations Range: The expected base salary range for this position is between $155,200.00 - $232,800.00 The level of pay within the range will depend on a variety of job-related factors that may include location, relevant prior experience and/or education, or particular skills and expertise. Disclosures: Pay Transparency Disclosure: This compensation and benefits information is based on Lyten's estimate as of the date of publication and may be modified in the future. We generally do not negotiate on salary once we have made an offer. The level of pay within the range will depend on a variety of job-related factors that may include location, relevant prior experience and/or education, or particular skills and expertise. New hires joining the company tend to be paid within the starting base pay range noted above, with opportunities to increase pay over time based on development of additional skills, competencies, and company-specific knowledge. In addition to base pay this position is eligible for tier based bonus and equity, healthcare, dental, vision, corporate discounts, paid holidays, PTO and sick time, 401K, employee relocation plan (if applicable) Export/ITAR Compliance Disclosure: Certain positions within Lyten, Inc. require compliance with export control laws and, as a result, all interviewed candidates will be screened pre-interview to determine their eligibility in light of export restrictions. This position requires access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment in this position is conditioned on the continued availability of government authorization to authorize release of such items, to the extent required, including without limitation an export license, or other documentation required to establish authorization to receive access to such items. Company may delay commencement of employment, rescind an offer of employment, terminate employment, and/or may modify job responsibilities, compensation, benefits, and/or access to Company facilities and information systems, as Company deems appropriate, in order to ensure compliance with applicable government access control restrictions. Lyten is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, status as a protected veteran, or status as a qualified individual with a disability. EEO Employer/Vet/Disabled. IMPORTANT: Please be aware that fictitious job openings, consulting engagements, solicitations, interviews or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Lyten Does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. We Do NOT use any messaging apps to recruit or communicate at any time during the recruiting process. Links to the actual job posting will be provided in the email, please verify the position is posted prior to communicating. All genuine job openings will be posted on our careers page and all communications will be from the recruiting team and will be from ************ email address. Principals only; third party or agency submitted candidates will not be considered. Why Work at Lyten At Lyten, you'll be part of a team that's redefining what's possible in energy, materials, and manufacturing. We're not just imagining the future - we're building it today with breakthrough technologies that are changing how products are made and how industries innovate. Our people are the heart of that mission. From world-class scientists and engineers to creative problem-solvers in operations, manufacturing, and commercialization, every member of the Lyten team plays a role in turning bold ideas into real-world impact. We believe that the best work happens when you're doing great things in the world - with people you like. Collaboration, curiosity, and a shared sense of purpose drive everything we do. What You'll Find at Lyten A mission that matters: Contribute directly to solving complex challenges in energy, mobility, and materials innovation. Cutting-edge innovation: Work on technologies at the intersection of materials science, energy storage, and advanced manufacturing that strengthen energy security and local supply chains. Extraordinary people: Join a team of talented, friendly, and down-to-earth innovators who support, challenge, and inspire one another every day. Teamwork and culture: Experience a workplace built on trust, respect, and shared success - where collaboration fuels breakthroughs and everyone's ideas are heard. Global impact: Help scale new materials and energy solutions that reinforce industrial resilience across the U.S. and Europe. Career growth: Be part of a fast-moving company entering a commercial growth phase, with opportunities to lead, learn, and make your mark. Purpose-driven values: Thrive in an environment that celebrates ingenuity, optimism, and meaningful progress - together. Lyten offers the opportunity to do the most important work of your career - helping build the technologies that will power the next century of innovation. Join us, and help transform industries, communities, and the planet with friends who share your drive to make a difference.

Job Description We are seeking a highly motivated Research Scientist to lead technology research efforts focused on the development of novel molecular assays. This role offers an excellent opportunity for a hands-on molecular biologist to apply deep technical expertise in a dynamic, fast-growing biotechnology company. The successful candidate will work closely with senior scientific staff and cross-functional R&D teams to drive experimental design, execution, and data interpretation in support of innovative assay development. RESPONSIBILITIES Under the guidance of senior scientific staff, propose, design, and execute experimental studies to advance new molecular assay technologies Analyze and interpret experimental data with strong scientific rigor and critical thinking Prepare and present research findings to management and the broader R&D organization Collaborate effectively with cross-functional R&D teams to support project execution and development timelines Maintain accurate, detailed, and compliant experimental documentation through high-quality laboratory notebooks and data records Manage multiple priorities with flexibility to meet time-sensitive project milestones and organizational objectives Stay current with scientific literature, emerging technologies, and advances in the field Contribute to intellectual property development, including invention disclosures and patent filings Requirements QUALIFICATIONS Ph.D. in Molecular Biology or a related field with 1-2 years of post-doctoral or industry experience, or M.S. in Molecular Biology or a related field with 7+ years of relevant industry experience Strong creative thinking and problem-solving abilities with exceptional attention to detail Self-motivated, results-driven, and capable of independently driving projects forward Solid foundation and broad knowledge in molecular biology and genomics Hands-on experience with next-generation sequencing technologies, with a strong preference for epigenetics-based assays or analyses. Excellent written and verbal communication skills, with the ability to work effectively in a highly collaborative, cross-disciplinary environment Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Paid Time Off (Vacation, Sick & Public Holidays)

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Adobe Firefly Applied Science & Machine Learning (ASML) group is seeking a Model Tech Lead to own the optimization and architectural evolution of our multimodal editing foundation models. This position is central to the delivery of Firefly's proprietary foundation models, focusing on developing efficient training and inference solutions that directly enhance our profit margins. We are looking for a hands-on technical authority with deep expertise in frontier foundation model areas to drive high-performance, large-scale AI delivery. Job Responsibilities Drive Architectural Innovation: Design and implement novel MLLM architectures (e.g., sparse models, MoE) and specialized kernels, using deep expertise in quantization, pruning, and post-training optimization to enhance efficiency. Implement Performance Roadmaps: Lead the end-to-end efficiency roadmap for Adobe's multimodal editing stack, focusing on reducing computational costs for both large-scale training and low-latency inference while maintaining powerful performance. Technical Leadership & Execution: Lead a multi-functional squad as a hands-on authority, unblocking complex technical issues, conducting rigorous code reviews, and upholding high engineering standards for reproducibility and quality. Post-Training Optimization: Oversee advanced model compression and deployment strategies, ensuring that frontier models are optimized for real-world enterprise performance and scalability. What You'll Need to Succeed Advanced Technical Degree: Ph.D. in Computer Science, AI/ML, or a related field (or equivalent industry experience). Efficiency Expertise: Proven track record in model efficiency for foundation models, specifically in quantization, pruning, sparse architectures, and kernel optimization. Foundation Model Depth: Deep technical expertise in frontier foundation model research, including multimodal perception and generative editing. Leadership Impact: Experience leading multi-functional squads and defining technical roadmaps that translate complex research into production-ready, efficient models. Engineering Excellence: Proficiency in modern ML stacks (e.g., PyTorch, JAX) and specialized performance tools (e.g., CUDA, Triton, DeepSpeed, or FSDP). Preferred Experience Experience optimizing MLLMs for high-throughput, cost-sensitive production environments. Familiarity with hardware-aware optimization and custom operator development. Background in scaling large-scale training runs while maintaining strict compute budgets and profit margin targets. A history of bridging the gap between ground breaking research in model sparsity and stable, enterprise-grade deployment. #FireflyGenAiOur compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $142,700 -- $270,950 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.In California, the pay range for this position is $187,100 - $270,950 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

About Oxford BioTherapeutics Oxford Biotherapeutics is a clinical-stage biotechnology companyfocusing on the development of antibody therapeutics for the treatment of cancer.OBT'sOGAP-verify platform is the world's largest, cancer specific, membrane protein library, directly measuring plasma membrane protein expression in patienttumors. OGAP is used to identify novel, highlytumorspecific antigens for novel first-in-class ADC, T-cell Engager (TCE) and Chimeric Antigen Receptor (CAR-T) targets. Our lead asset, OBT076, is an Antibody Drug Conjugate (ADC) in Phase 1b clinical development. Our clinical and pre-clinical pipeline of novel biologics is balanced between internal programs, focused on ADCs and checkpoint regulators, and externally partnered programs with key innovators in oncology such as Roche, GSK, and Zymeworks. For further information, please see ***************************** Job Description We are seeking a motivated Sr. or Principal Scientist to join the Histopathology Lab within the Target Validation team in San Jose, CA. The role involves independently designing, troubleshooting, and executing histopathology workflows to evaluate oncology targets, and presenting findings to teams and partners. You will support target validation through IHC, IF, ISH, slide scanning, image analysis, and assay optimization, with a strong focus on IHC assay development, antibody screening, tissue processing (FFPE/FF), sectioning, and tissue-based assay implementation. Hands-on histology and oncology knowledge is required. Responsibilities Design and optimize chromogenic IHC assays using FFPE/FF samples; confirm specificity using orthogonal methods (e.g., ISH). Lead histopathology support for cancer target programs, including materials management, hands-on lab work, mentorship of junior staff, and timeline delivery. Present results, gather feedback, and implement next steps. Use literature and public datasets to guide assay development and target validation. Process tissues and cell pellets into FFPE/frozen blocks; section and stain samples using Leica Bond autostainers. Digitize slides, analyze results, and document data in ELN and presentations. Perform routine lab tasks: sample archiving, equipment maintenance, consumables ordering, logistics. Support tissue database and digital data organization. Required Qualifications and Skills PhD + 4 years, or Master's + 6 years, or Bachelor's + 8 years or more of hands-on experience working in histology and IHC related labs, preferably supporting cancer research in an industry setting. Extensive (>3 years) hands-on experience developing, utilizing, and interpreting immunohistochemistry assays against novel protein targets, using both single and multiplex IHC techniques primarily on FFPE sample slides. Extensive (>3 years) hands-on experience in laboratory histology, including preparation of tissue sample into FFPE and FF blocks, preparation of cell pellet control blocks, cryostat and microtome sectioning, troubleshooting chromogenic IHC and ISH experiments, and independently identifying appropriate next steps in the development of robust, sensitive and specific tissue biomarker assays. Experience with Leica Bond autostainers and reagents relevant to optimizing new IHC assays, typically chromogenic assays. Experience with microscope slide scanners for brightfield and fluorescent imaging, and general experience utilizing whole-slide image analysis software such as HALO. Collaborate effectively in a matrix-managed organization to drive advancement of early-stage projects into translational and clinical development. Be relied upon as a technical expert in the IHC field; provide guidance to colleagues and collaborators, and mentorship to more junior lab colleagues. Preferred Qualifications and Skills Knowledge in cancer biology, immuno-oncology, and tumor histopathology are each a plus. Strong track record of developing and implementing strategic initiatives to improve scientific and/or operational activities. Relevant experience working with service providers and CROs in the histology space. Excellent organization skills, and evidence of previous success in a growing and fast-paced work environment. Experience regularly presenting IHC assay results in group settings. Top candidates will be collaborative and team oriented, creative problem solvers, resilient to change, and interested in learning opportunities. Experience with cell culture and related molecular biology assays (WB/ELISA/etc.) are additionally a plus. Benefits Offered Medical,dentalandvisioninsuranceforemployeeanddependents FSA(FlexibleSpendingAccount) STD,LTD,BasicLifeandAD&DInsurance,SupplementalLife 401(k) Plan 120hoursofPaidTimeOff 5sickdaysperyear 11holidays EmployeeReferralBonusProgram Annualbonusprogram Newhirestockoptions Equal Opportunity Statement OBT is an equal opportunity employer and prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status, and veteran status. All qualified applicants will receive consideration for employment. One of our top priorities is to maintain the health and wellbeing of our employees and their families. To achieve this goal, we offer comprehensive benefits. #J-18808-Ljbffr

AI Research Scientist - Diffusion Models & Quantum Algorithms About the Company Our client is an are an early-stage, well-funded deep-tech company building next-generation quantum computing hardware tightly coupled with advanced AI algorithms. Our team works across the full stack-from quantum hardware and error correction through to quantum and probabilistic algorithms. They are currently expanding our presence in San Francisco, where a new research lab is being established to focus on AI and quantum algorithms, working in close daily collaboration with an existing core research team in the Midwest. The company is under a year into its current form, scaling rapidly, and led by founders with strong academic and industry research backgrounds. The Opportunity We are hiring an AI Research Scientist to lead foundational research at the intersection of: Diffusion / probabilistic generative models, and Quantum computing and quantum algorithms What You'll Work On 1. Accelerating diffusion models Design and implement methods to accelerate training and inference for diffusion and probabilistic generative models Explore mappings from classical acceleration techniques (e.g. ODE / solver-based methods such as DPM-Solver) to quantum algorithms Build and benchmark “drop-in” quantum-inspired or quantum-native replacements for components of diffusion pipelines 2. Noise, probability, and quantum effects Investigate how quantum noise can be treated as a feature rather than solely a limitation Study noise distributions in diffusion processes and how quantum noise differs from classical noise Identify application domains where quantum sampling or noise properties may provide unique advantages 3. Inference & systems optimization Develop inference optimization strategies that generalize across GPUs, TPUs, and emerging hardware Build and maintain robust research codebases for diffusion models Evaluate approaches with clear quantitative metrics (speed, quality, cost, scaling behavior) 4. Cross-stack collaboration Work closely with quantum hardware and algorithms researchers across sites Translate between AI/diffusion requirements and quantum hardware constraints Help define abstractions and interfaces that expose new hardware capabilities to AI practitioners What We're Looking For We value depth of thinking, research ownership, and technical range over any single credential. Required experience Deep experience in diffusion / probabilistic generative models or quantum algorithms, with strong interest in the other Proven research ability, demonstrated through publications, preprints, technical reports, or equivalent output Strong coding skills (e.g. Python; PyTorch, JAX, or TensorFlow) and comfort with modern ML stacks Ability to independently: Comfort moving between theory and practice (math, algorithms, and production-quality research code) Experience working with modern accelerators (GPUs required; TPUs or other stacks a plus) Nice to have Hands-on work with diffusion models (image, video, text, or scientific domains) Experience with ODE/SDE-based samplers or inference acceleration techniques Background in quantum circuits, quantum error models, or NISQ vs. fault-tolerant regimes Experience on inference, optimization, or efficiency teams for large models Prior collaboration with quantum ML or quantum information research groups Location & Working Model San Francisco, CA (hybrid; 3-4 days onsite) In-person days are coordinated to maximize collaboration Frequent interaction with the core research team in the Midwest via daily syncs and periodic visits

About the Role Our client - a frontier AI research company at the cutting edge of molecular design is hiring AI Research Scientists, Computational Biology, to join their growing research team. Founded by researchers and operators from leading AI4Biology labs and top technology companies, the team is building next-generation models that move beyond benchmarks into real-world therapeutic development. Backed by world-class investors, including Thrive Capital, Dimension, OpenAI, Amplify, they are scaling their research efforts to tackle some of the most challenging problems in drug discovery. Why Join? Frontier Research - Work alongside world-leading researchers pushing the boundaries of AI for molecular and biological modelling Real-World Deployment - Your research will be translated directly into active discovery programmes, not left on a shelf Technical Depth - Tackle open-ended scientific problems involving large-scale models, complex biological data, and first-principles reasoning Meaningful Impact - Help design technologies that have the potential to change how new therapies are created Who We're Looking For: We're seeking exceptional PhD Grad to Senior-Level AI Research Scientists, Computational Biology, with a strong research background and a drive to apply cutting-edge machine learning to real therapeutic challenges. Your Responsibilities: Conduct original research on ML methods for molecular and biological modelling Develop, train, and evaluate advanced deep-learning models for small molecules, antibody, proteins, or related systems Design modelling experiments to answer ambiguous scientific questions Collaborate closely with experimental scientists to translate model outputs into actionable insights Support validation, iteration, and deployment of models used in live discovery workflows What We're Looking For: PhD in Machine Learning, Computational Biology, Bioinformatics Strong research track record through publications, projects, or demonstrable impact Proficiency in Python and deep-learning frameworks (e.g. PyTorch) Experience working with molecular, chemical, or biological datasets Familiarity with advanced modelling techniques such as representation learning, generative models, multitask learning, or uncertainty-aware methods Locations: San Francisco Package: Salary up to $350,000K + benefits and equity options Ready to help shape the future of AI-driven drug discovery? Apply now.

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

We are seeking a highly motivated Research Scientist to lead technology research efforts focused on the development of novel molecular assays. This role offers an excellent opportunity for a hands-on molecular biologist to apply deep technical expertise in a dynamic, fast-growing biotechnology company. The successful candidate will work closely with senior scientific staff and cross-functional R&D teams to drive experimental design, execution, and data interpretation in support of innovative assay development. RESPONSIBILITIES Under the guidance of senior scientific staff, propose, design, and execute experimental studies to advance new molecular assay technologies Analyze and interpret experimental data with strong scientific rigor and critical thinking Prepare and present research findings to management and the broader R&D organization Collaborate effectively with cross-functional R&D teams to support project execution and development timelines Maintain accurate, detailed, and compliant experimental documentation through high-quality laboratory notebooks and data records Manage multiple priorities with flexibility to meet time-sensitive project milestones and organizational objectives Stay current with scientific literature, emerging technologies, and advances in the field Contribute to intellectual property development, including invention disclosures and patent filings Requirements QUALIFICATIONS Ph.D. in Molecular Biology or a related field with 1-2 years of post-doctoral or industry experience, or M.S. in Molecular Biology or a related field with 7+ years of relevant industry experience Strong creative thinking and problem-solving abilities with exceptional attention to detail Self-motivated, results-driven, and capable of independently driving projects forward Solid foundation and broad knowledge in molecular biology and genomics Hands-on experience with next-generation sequencing technologies, with a strong preference for epigenetics-based assays or analyses. Excellent written and verbal communication skills, with the ability to work effectively in a highly collaborative, cross-disciplinary environment Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Paid Time Off (Vacation, Sick & Public Holidays)

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Our focus is developing AI technologies for text, image, and videos to boost creativity. We're seeking an outstanding ML engineer with deep expertise in generative AI technologies. This is a chance to create a huge impact in a fast-paced, startup-like environment in a great company. Join us! The position involves system design, ML model assessment, data pipeline optimization, visualization creation, and GPU efficiency improvement. Responsibilities: You'll train and finetune ML models that solve business use cases and handle data at scale. You will profile GPU utilization, trace inference and training runs and help craft strategies for optimizing our ML model latency. We'll work together to architect and optimize end-to-end ML pipelines, ensuring they're scalable, efficient, and robust. You'll dive deep into data to recommend the right models, evaluation metrics, and governance approaches. Throughout the product lifecycle, you'll engage in architecture, design, deployment, and optimizations of ML models and systems. Requirements: We're looking for someone with a graduate, PhD, or postgraduate degree in Computer Science, Computer Engineering, or a related field-or equivalent experience. Seek candidates with 0+ years ML Engineering experience, specializing in generative AI like LLMs. Your strong Python and deep learning engineering skills, paired with experience in training and inferencing with PyTorch or TensorFlow, will be essential. Familiarity with distillation, transformers, and diffusion models. Experience with generative image and video is a plus. Knowledge of deployment technologies such as Docker, ML Ops, and ML services is valuable, and experience with cloud platforms like Azure and AWS is a plus. We value your excellent problem-solving abilities and your capacity to analyze complex issues and drive solutions with a data-driven approach. Your strong verbal and written communication skills and success in cross-functional team environments will help us all succeed together. #FireflyGenAI Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $125,600 -- $234,150 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.In California, the pay range for this position is $161,700 - $234,150 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Adobe is looking for an Applied Scientist with experience in Generative AI, specifically, expertise in preparing data, training, fine-tuning and adapting large foundation models across all modalities: images, video, 3D, LLMs and cross-modal setups. We welcome outstanding candidates in all related technical fields, such as Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing. The related applications include image/video/3D generation, editing, and understanding, conditioned on controls stemming from large language models, or other innovative interactions tailored for creative workflows, and multimodal priors. What You'll Do Conduct pioneering research and development in Generative AI for visual (image/video/3D), audio, and multi-modal outputs. Develop and deploy novel generative AI technologies to existing and new Adobe Products. Research and develop novel large-scale foundation models with deep reasoning and world-building capabilities. Collaborate with world-class researchers and ML engineers to bring research ideas to creative workflows used by millions. Publish and present your work in world-class scientific venues in CV/AI/ML/CG fields What You Need to Succeed PhD or MS degree in CV/AI/ML/CG or related fields 0-2+ years of experience in specific skill/field(s), Research or industry experience in training Generative AI models (pre-training and/or post-training) in at least one of the following modalities: image, video, 3D, or audio. Expertise in large-scale model training and optimization, including data curation, distributed training, and memory-efficient techniques. Experience with post-training techniques such as fine-tuning, alignment or distillation. Proficiency with modern deep learning frameworks (e.g., PyTorch) and experience scaling models on GPU/TPU clusters. Excellent communication skills and a strong great teammate If you're looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, sexual orientation, gender identity, disability or veteran status. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $120,700 -- $228,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $125,600 -- $234,150 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.In California, the pay range for this position is $161,700 - $234,150 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.