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Senior Scientist Jobs in San Jose, CA

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  • Applied Scientist III, Amazon Transcribe

    Amazon Development Center U.S., Inc. 4.7company rating

    Senior Scientist Job 5 miles from San Jose

    Amazon AI is looking for an Applied Scientist to join our science team in the area of Multimodal Learning, Large Language Models, Natural Language Processing and Speech/Audio Representation Learning. Our organization develops the science that drives the cloud-based AI services of AWS. Our mission is to put the power of AI into the hands of every developer. We seek to advance the state of the art in machine learning to create services that delight our customers and meet real-world business needs. As an Applied Scientist you will partner with talented scientists and engineers to design, train, test, and deploy machine learning models. You will contribute to innovative features, improve our services based on customer requirements and help maintain a highly scalable data and model management infrastructure that supports cutting-edge research. You will be responsible for translating business and engineering requirements into deliverables and software products. We are looking for candidates who thrive in an exciting, fast-paced environment and who have a strong personal interest in learning, researching, and creating new technologies with high customer impact. Prior domain knowledge in multimodal learning, unsupervised speech/audio representations, natural language processing, or computer vision is strongly preferred; solid knowledge of fundamentals of statistics, machine learning, and deep learning is required. Candidates should possess strong software engineering skills and several years of industry experience. About the team About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. This team is part of AWS Utility Computing: Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. BASIC QUALIFICATIONS- PhD, or Master's degree and 6+ years of applied research experience - 3+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit ***************************************** Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.
    $150.4k-260k yearly 9d ago
  • Senior Packaging Development Scientist

    The Clorox Company 4.6company rating

    Senior Scientist Job 19 miles from San Jose

    Clorox is the place that's committed to growth - for our people and our brands. Guided by our purpose and values, and with people at the center of everything we do, we believe every one of us can make a positive impact on consumers, communities, and teammates. Join our team. #CloroxIsThePlace Your role at Clorox: As a Packaging Senior Scientist in Research & Development, you will be a part of a team responsible for the technical development of products across the entire Kingsford portfolio. You will develop new packaging from concept to launch, using technical leadership to deliver solutions that delight consumers. You will work closely with Product and Process scientists as well as Marketing, Sales, Supply Chain, and Regulatory. From the development of prototypes for cost savings initiatives to delivering new and improved packaging for commercialization, you will play a significant role in driving innovation for Clorox and Kingsford. Additionally, you will own the sustainability roadmap for packaging, driving executional progress against our goals and will be responsible for placing strategic technical bets/recommendations in the areas of new materials, suppliers, and processes. This position will be located in our Pleasanton, CA office, and the individual will be expected to be in the office 3 days a week. Relocation assistance is available. In this role, you will: Refine and implement multi-year sustainability plan that meets Kingsford and Clorox goals Package development lead for projects to ensure technical rigor and deliver against project deliverables Design and execute technical testing to converge on and validate package design and performance, including developing new test methods with support when necessary Use established Clorox processes to deliver projects and identifies potential improvements Create consumer and customer facing specifications and processing standards Lead risk assessment and mitigation planning Apply fundamental technical and packaging knowledge Collaborate with internal/external experts What we look for: Bachelor's degree in Packaging, Materials Science, or Mechanical Engineering or equivalent number of years of relevant industry experience Minimum 5 years of experience leading the execution of packaging solutions to market, including development from idea to launch on at least several projects Demonstrated project planning skills Ability to work independently and implement multiple projects in a timely manner Strong leadership, communication and interpersonal skills to work in a collaborative team environment, both internal and external to Clorox Workplace type: Hybrid - 3 days in the office We seek out and celebrate diverse backgrounds and experiences. We're looking for fresh perspectives, a desire to bring your best, and a non-stop drive to keep growing and learning. At Clorox, we have a Culture of Inclusion. We believe our values-based culture connects to our purpose and helps our people be the best versions of themselves, professionally and personally. This means building a workplace where every person can feel respected, valued, and fully able to participate in our Clorox community. Learn more about our I&D program & initiatives here. [U.S.]Additional Information: At Clorox, we champion people to be well and thrive, starting with our own people. To help make this possible, we offer comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates' unique needs. This includes robust health plans, a market-leading 401(k) program with a company match, flexible time off benefits (including half-day summer Fridays depending on location), inclusive fertility/adoption benefits, and more. We are committed to fair and equitable pay and are transparent with current and future teammates about our full salary ranges. We use broad salary ranges that reflect the competitive market for similar jobs, provide sufficient opportunity for growth as you gain experience and expand responsibilities, while also allowing for differentiation based on performance. Based on the breadth of our ranges, most new hires will start at Clorox in the first half of the applicable range. Your starting pay will depend on job-related factors, including relevant skills, knowledge, experience and location. The applicable salary range for every role in the U.S. is based on your work location and is aligned to one of three zones according to the cost of labor in your area. -Zone A: $104,100 - $199,100 All ranges are subject to change in the future. Your recruiter can share more about the specific salary range for your location during the hiring process. This job is also eligible for participation in Clorox's incentive plans, subject to the terms of the applicable plan documents and policies. Please apply directly to our job postings and do not submit your resume to any person via text message. Clorox does not conduct text-based interviews and encourages you to be cautious of anyone posing as a Clorox recruiter via unsolicited texts during these uncertain times. To all recruitment agencies: Clorox (and its brand families) does not accept agency resumes. Please do not forward resumes to Clorox employees, including any members of our leadership team. Clorox is not responsible for any fees related to unsolicited resumes.
    $104.1k-199.1k yearly 13d ago
  • Senior AI Research Scientist - GenAI

    Bosch USA 4.8company rating

    Senior Scientist Job 8 miles from San Jose

    The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (*************** a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions. Originating from Bosch AI research in Silicon Valley, we are responsible for pushing the boundaries of GenAI and foundation models through key innovations to solve complex industry problems, and shape the future user experience of Bosch products for both internal and external users in the fields of AI agent, 3D Vision, Advanced Driver Assistance Systems, etc. We work with internal partners of different Bosch business units to transfer our solutions into future products. We also actively collaborate with leading groups in academia and industry to promote research ideas and publish research findings in internationally renowned conferences and journals such as ACL, EMNLP, CVPR, ICCV, ECCV, ICRA, IROS, RSS, NeurIPS, AAAI and CoRL. Drive research on GenAI and Foundation models (FM) to address academic and industrial challenges. Work with an international team of experts to transfer and apply the Bosch in-house GenAI / FM innovations and 3rd-party solutions to Bosch AI products and services, such as ADAS, AI agents, etc. Stay abreast of the latest technological advancements and market trends by attending academic conferences, technical events, and seminars. Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions. Document and disseminate research findings through high-caliber publications and/or patent submissions. Basic Qualifications Ph.D. in Computer Science or Engineering, or a related discipline or master's degree with 5+ years industry experience (GenAI and/or foundation model related) after graduation. 5+ years of research experience or equivalent graduate research experience on foundation models, including training, fine-tuning, and prompting. In-depth experiences in deep learning, with work in at least two of the following areas: AI agent, RAG, multimodal transformers, multimodal language models, diffusion models, autonomous driving, time-series data analysis. Proficiency in one or more programming languages commonly used in systems research (e.g., Python, C++) and hands on experience with AI / NLP / CV libraries. Publication record in top venues including ACL, EMNLP, CVPR, ICCV, ECCV, ICRA, IROS, RSS, NeurIPS, AAAI and CoRL. Preferred Qualifications Strong background in math and statistics 5+ years experiences in industrial research Hands-on experience in product development in the above-mentioned areas for consumer/enterprise markets. Experience in leading R&D project & team dealing with international customers. Strong interpersonal, communication, and teamwork capabilities. Leadership skills with excellent English communication skills The U.S. base salary range for this full-time position is $175,000 - $200,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your Recruiter can share more details about the specific salary range for this position during the interview process. In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; short and long term disability insurance; paid time off; parental leave, adoption assistance; and reimbursement of education expenses. Learn more about our full benefits offerings by visiting: *********************************************** Pay ranges included in the postings generally reflect base salary; certain positions may include bonus, commission, or additional benefits. By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled. All your information will be kept confidential according to EEO guidelines.
    $175k-200k yearly 2d ago
  • Research Scientist, Post-Training

    Acceler8 Talent

    Senior Scientist Job In San Jose, CA

    Job Title: Member of Technical Staff: Research Scientist, Post-Training Introduction We are looking for a Member of Technical Staff: Research Scientist, Post-Training to enhance our team's research capabilities in model efficiency and robustness. This role is critical for advancing the real-world applications of our AI technologies, ensuring that our models deliver maximum business value. About the Company This organization is dedicated to deepening the collaboration between humans and computers. By fostering a small, focused team, we aim to drive significant advancements in AI. Supported by notable investors, we are assembling a multi-disciplinary team to tackle challenging AI problems. Our commitment to innovation spans from user experience to model performance, emphasizing the importance of effective design across all layers of our technology stack. About the Role As a Member of Technical Staff: Research Scientist, Post-Training, you will lead research initiatives to enhance model capabilities post-training. Your responsibilities will include developing novel techniques for fine-tuning and adapting models, working closely with product teams to align research with user needs, and executing experiments that push the boundaries of what our models can achieve. What We Can Offer You Competitive salary with a target of up to $225,000 based on experience. Equity options as part of the compensation package. Comprehensive health benefits, including 401(k) plans. Daily onsite lunches and snacks to improve your work environment. Relocation assistance for new employees moving to San Francisco. Key Responsibilities Lead research efforts focused on post-training model enhancements. Collaborate with product teams to identify gaps and evaluate progress. Design and execute experiments for model fine-tuning and adaptation. Develop new algorithms and methods for efficient model updates. Create synthetic datasets for enterprise-specific use cases. Analyze research results and guide future projects based on insights. Stay updated on advancements in post-training techniques, integrating relevant findings into development efforts. This Member of Technical Staff: Research Scientist, Post-Training role requires strong expertise in post-training techniques and large language models. Candidates should have a solid foundation in machine learning fundamentals and be proficient in programming languages like Python . Strong problem-solving, analytical, and collaboration skills are essential for success in this fast-paced environment. If you're interested in building innovative AI solutions and pushing the boundaries of technology, we encourage you to apply.
    $225k yearly 12d ago
  • Senior AI Scientist

    Cairns Health

    Senior Scientist Job 8 miles from San Jose

    We're seeking a dynamic artificial intelligence scientist and machine learning expert to join our incredible technology team at Cairns Health. This role sits at the crossroads of conversational AI, radar technology, hardware integration, and neural networks. You'll play a pivotal role in the success of our product, starting with the development and refinement of our proprietary algorithms that leverage radar signals for vital signs detection, while exploring opportunities across our tech stack for innovation opportunities. Our ideal candidate is a proactive problem solver with a hands-on approach to coding and a positive, can-do attitude. About Cairns Health Cairns Health (*********************** is creating a fundamentally better healthcare experience for people with chronic health conditions and those who care for them. We make healthcare more accessible by simplifying complex care plans, connecting care teams and meeting patients where they live. Through our conversational AI, patients use their voice to interact with our digital care companion, who proactively gives medication reminders, symptom checks, behavioral nudges and even engages in friendly conversation to ease loneliness. Cairns uses a device that includes radar to put the patient in context and passively monitors their activities, including: heart rate, breathing rate and sleep stages, all without a wearable. The result is informed and timely intervention that drives improved clinical outcomes, reduced care delivery costs and a more satisfactory healthcare experience for all. Duties & Responsibilities Own and enhance our algorithms for vital signs detection. Develop methodologies for data collection and analysis of algorithm performance. Explore opportunities for innovation through signal processing and data analysis. Collaborate with a team of accomplished, high-performing engineers. Gain hands-on experience with embedded software and our hardware stack. Qualifications Bachelor's degree in Computer Science, Engineering, or a related field or equivalent practical experience, coupled with 5-7 years of professional experience as an AI scientist or in a similar role. Proficient in modern machine learning and AI techniques, including neural networks. Experience with deep learning toolkits including torch, tensorflow, Jax Experience and proven track record in model architecture design, model training end to end from concept to deployment Experience with standing up and maintaining data pipelines generally and in the context of IoT / sensor networks specifically Familiarity with digital signal processing techniques (previous radar data experience a plus). Proficient in Python and/or C++ for model development/implementation. Familiarity with quantization of models and deploying on the edge. Familiarity with AWS or other cloud environments. Strong problem-solving and analytical abilities to tackle complex technical challenges. Positive, team player with strong people skills and excellent communication. Benefits We offer competitive compensation, equity & benefits - including medical, dental, vision and paid vacation/sick days and 401(k) plans. Location Preference for candidates located near Sunnyvale, CA. To Apply Please apply via LinkedIn and then send your resume and cover letter to: *************** and answer the following questions: This role works 4 days in office from Sunnyvale, CA. Where are you based currently? What are your salary expectations? What professional experience do you have in machine learning (specifically Torch, TensorFlow)?
    $118k-189k yearly est. 3d ago
  • Applied Scientist

    Tanoshii

    Senior Scientist Job In San Jose, CA

    We're hiring for a rocketship within video generation. With the humanoid side of the research team stacked, we're looking to consolidate the team by focusing on researchers with a background in world models, multimodal LLMs, and human perception. If you have solved these problems within the context of self-driving, or effective computing we feel you'd be a nice fit. The financial signals are trending toward unicorn status, ARR is in the multimillions, with niche PMF. The founding team is incredibly hungry, driven, and more importantly humble. Tech includes - Nerf, GANs, Gaussian Splatting, LLMs, RAG, Agentic AI.
    $104k-165k yearly est. 15d ago
  • Applied Scientist

    Deeprec.Ai

    Senior Scientist Job In San Jose, CA

    Applied Scientist (Senior/Staff/Principal) We are looking for a passionate and driven Research Scientist to join an impressive applied research company in the Bay Area. In this role, you will lead pioneering research efforts, design benchmarks, and develop advanced agent architectures. This position is perfect for someone eager to push the boundaries of AI and contribute to the development of innovative digital systems. Key Responsibilities: Conduct in-depth research and analyse scientific papers to inform new approaches. Design and implement benchmarks for assessing AI performance. Develop and refine agent architectures to drive cutting-edge advancements. Execute experiments to validate hypotheses and enhance system capabilities. Collaborate closely with a multidisciplinary team to align research efforts with strategic goals. Stay abreast of the latest breakthroughs in AI and related technologies. Skills and Qualifications: PhD in a computational or related field, with substantial research experience. Strong proficiency in programming (particularly Python) and machine learning. Deep knowledge of areas like computer vision, reinforcement learning, robotics, or NLP. Independent thinker with excellent problem-solving skills and a creative mindset. Ability to work collaboratively while bringing fresh ideas to complex challenges. For more information, please apply and we shall be in touch promptly! We look forward to hearing from you
    $104k-165k yearly est. 9d ago
  • Staff Machine Learning Scientist

    Storm3

    Senior Scientist Job In San Jose, CA

    ⚡ Staff Research Engineers/Scientists 💊 Biology Foundation Models ($100M+ Seed) 🌎 San Francisco Bay Area, USA 💸 $250,000 - $350,000 salary + bonus + equity Come join a revolutionary stealth biotech building interconnected Foundational Models across multiple modalities in biology and genomic discovery. Opportunity to join as a core member in a rapidly growing division, founded by A-listers in tech & academia. Seeking experts in modern LLM architectures - Diffusion, GNN, Normalizing Flows etc. Responsibilities: Design, develop and train novel AI models for a multimodal approach to biodiscovery Research and iterate models to ensure optimal-performance data transformation Navigate the latest literature and fine-tune models geared towards biological breakthroughs Proactively impact the roadmap & talent onboarding for their development Requirements: MS or PhD in Comp Sci/ML, Chem, Bio or related field 5+ years development & training of LLM/Diffusion/GNN models for 7-70b param models Experience in computational packages applied to chem/bio (bonus) Proficiency in leveraging high compute GPU clusters Why apply: Opportunity to build out a new division at the forefront of AI innovation FAANG competitive salary & package Work alongside superstars from FAANG, Genentech & AI pioneering companies Medical, Dental and Vision Insurance Relocation package available 🌎 San Francisco Bay Area, USA 📧 Interested in applying? Please click on the ‘Easy Apply' button or alternatively email me your resume at *********************** ⚡ Storm3 is a HealthTech recruitment firm with clients across major Tech hubs in Europe, APAC and North America. To discuss open opportunities or career options, please visit our website at storm3.com and follow the Storm3 LinkedIn page for the latest jobs and int el
    $91k-153k yearly est. 9d ago
  • Senior AI Scientist

    Linkedin 4.8company rating

    Senior Scientist Job 8 miles from San Jose

    LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills, and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters at the cutting edge of AI. This role will be based in Sunnyvale, San Francisco or New York At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Job Description: As a Senior AI Scientist, you will drive LinkedIn's efforts in cutting-edge AI research and development, focusing on large-scale foundation models. In this role, you will specialize in developing, training, and optimizing foundation models, including Large Language Models (LLMs), utilizing state-of-the-art deep learning architectures such as multi-billion parameter transformers and scaling them to serve LinkedIn's global user base. Your work will emphasize the design and deployment of high-performance AI systems, leveraging GPUs and other hardware accelerators for large-scale training and inference. You will collaborate with a world-class team of researchers and engineers to develop and advance the next generation of AI models to push the boundaries of AI at scale, working on complex problems such as distributed training, model parallelism, and system co-design. A successful candidate will be comfortable operating at the intersection of AI research and engineering, with a deep understanding of the latest advancements including but not limited to large model training, post-training techniques for planning and reasoning, fine-tuning strategies, reinforcement learning techniques.. Responsibilities: • Lead the research, design, and development of large-scale foundation AI models, with a focus on LLMs, transformer architectures. • Publish the findings and innovations as the latest academic and industry research in top notch core AI venues such as ICML, NeurIPS, ICLR, ACL. • Drive innovation in large-scale model training, leveraging GPUs and specialized hardware for optimal performance. • Develop and maintain scalable AI pipelines, optimizing training and inference workflows to handle vast amounts of data. • Collaborate with cross-functional teams of machine learning engineers, infrastructure engineers, and AI researchers to deliver impactful AI innovations across LinkedIn's products. Basic Qualifications: • BA/BS Degree in Computer Science, Machine Learning or related technical discipline, or related practical experience. • 2+ years experience in machine learning or AI engineering. • 2+ years experience in design and development of algorithmic solutions • 2+ years experience with programming languages such as Java, Python, etc. Preferred Qualifications: • 4+ years of hands-on experience in large-scale model training, model-system co-design, or large AI systems. • PhD in Computer Science, Machine Learning, or related technical discipline with a focus on advanced AI/ML techniques • Proven experience in building and optimizing large-scale AI/ML models using frameworks such as PyTorch, PySpark, and CUDA. • Several recent publications in top AI conferences on relevant areas including but not limited to Large Scale Model Training and LLM Algorithm Optimization, deep learning, reinforcement learning, foundation models etc. • Expertise in distributed training, model parallelism, and hardware acceleration for AI workloads, including GPUs and TPUs. • Demonstrated ability to solve complex AI challenges in large-scale environments, optimizing models for efficiency and scalability. • Strong proficiency in AI system design, model optimization, and the development of production-quality AI pipelines. • Published work in AI research or a significant contribution to industry-leading AI technologies. Suggested Skills: • Large Language Models (LLM) • Generative AI (GAI) • AI Research and Development • GPU and Hardware Acceleration • Distributed AI Systems and Model Parallelism You will benefit from our culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $134,000 - $221,000. 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. The total compensation package for this position may also include an annual performance bonus, stock, benefits, and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
    $134k-221k yearly 4d ago
  • Multimodal Machine Learning Scientist

    Greylock 4.5company rating

    Senior Scientist Job 41 miles from San Jose

    One of our early-stage, deep tech startup investments based in San Francisco is developing innovative hardware that rethinks human-computer interaction. Founding team is from Stanford, BrainGate, Oculus, and Tesla. Job Description: As a Multimodal Machine Learning Scientist, you will develop cutting-edge AI models to integrate and decode complex, multimodal data streams from our custom sensing hardware. You'll play a pivotal role in advancing our silent speech technology stack by building and optimizing models for real-time applications. This position spans foundational research in deep learning, hands-on model development, and applying algorithms to scale across diverse data sources and users. Responsibilities: • Design and implement state-of-the-art machine learning algorithms for processing multimodal bio-signals, including time series, spatial, and spectral data. • Build and optimize neural network architectures ranging from transformers to state space models. • Develop and evaluate multimodal learning techniques to fuse information from multiple sensor modalities. • Iterate rapidly on model prototypes for real-time inference on custom hardware. • Create and maintain a robust evaluation framework for benchmarking model performance across datasets and participants. • Collaborate closely with a diverse team, including hardware engineers, neuroscientists, and product designers, to align models with user needs. Requirements: • PhD in computer science, machine learning, computational neuroscience, or related fields (or equivalent industry experience). • Expertise in deep learning frameworks (e.g., PyTorch, TensorFlow) and fluency in Python. • Track record of publishing or deploying machine learning models in real-world systems. • Independent work ethic, flexibility, and resourcefulness. • Effective communication and collaboration skills. • Comfortable in a fast moving startup environment, excited to build independently. Preferred Qualifications: • Familiarity with human-machine interaction systems, such as ASR, multimodal interfaces, or neural decoding. • Hands-on experience with consumer wearables or custom hardware. • Knowledge of low-latency inference techniques and model optimization for edge devices. Details: • This position is full time, on-site in San Francisco (SOMA) • Company size: 10-20 people Other Keywords: deep learning, speech recognition, foundation models, real-time inference, data fusion, transformers, bio-signals, applied science About Greylock: Greylock is an early-stage investor in hundreds of remarkable companies including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, among others. More can be found about us here: ********************* About the Greylock Recruiting Team: As full-time, salaried employees of Greylock, we provide free candidate referrals/introductions to active and upcoming investments to help them grow/succeed (as one of the many services we provide). Our recruiting team, combined, has over 125 years of in-house recruiting experience at successful startups through FAANG's and over 30 years of VC Talent.
    $119k-163k yearly est. 15d ago
  • AAV Production Senior Research Associate / Associate Scientist

    Amber Bio 4.2company rating

    Senior Scientist Job 10 miles from San Jose

    Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA writing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. Multiple openings are available on a rapidly growing team. As an early team member, you will have the opportunity to contribute to strategic planning and future hiring. If you are interested in building a new frontier in genetic medicine, please apply via LinkedIn or through our website (*************** We are seeking a skilled AAV Production Senior Research Associate/Associate Scientist to join our growing team. This role involves leading and executing all aspects of AAV production, with a focus on downstream optimization to enhance viral yield, quality, and consistency. The ideal candidate will bring extensive expertise in AAV production across adherent and suspension cell platforms and demonstrate a proven track record of optimizing protocols for scale-up, purification, and workflow efficiency. This role requires a collaborative spirit and the ability to work across teams to support AAV production and characterization. Key Responsibilities AAV Production and Process Development Develop and scale AAV production processes, including IOX gradient purification and affinity column purification, for increased yield and optimized turnaround. Perform cell culture for AAV production (adherent and suspension). Operate bioreactors, AKTA systems, pumps, mixers, and automated buffer exchange systems to streamline and automate purification workflows. Continuously improve purification methods (e.g., AKTA tandem purification) to automate and streamline multi-sample processes. AAV Characterization and Assay Development Run AAV potency, biodistribution, transduction efficiency, and immunofluorescence assays to evaluate AAV performance in mammalian cell lines. Perform dd PCR, sequencing, and ELISA-based assays for quantitative and qualitative characterization of AAV vectors, including titer, purity, and genome integrity assessments. Conduct in-depth analysis on AAV stability, aggregation, and particle-to-infectivity ratios to refine vector quality and consistency Collaborate on optimizing purification and buffer exchange protocols to enhance yield, purity, and formulation stability across multiple AAV serotypes. Support upstream cell culture scale-up with a focus on consistent AAV quality and reproducibility for downstream characterization assays. Inventory, Documentation, and Workflow Management Manage lab inventory, ensuring timely ordering of supplies and efficient use of resources. Maintain accurate records and data using platforms such as Benchling Workflow; author SOPs, testing summaries, and production batch records. Produce AAV lots to support research and preclinical studies, ensuring all production steps meet quality and consistency standards. Collaboration and Training Train and guide team members in AAV production techniques. Support viral transduction for in vitro and in vivo applications. Collaborate with cross-functional teams to meet project goals, and advance novel vectors into pipeline. Lead troubleshooting efforts for production challenges and ensure compliance with established protocols. Qualifications Education: Bachelors or Masters in Molecular Biology, Biochemistry, Virology, or a related field, or equivalent experience. Experience: 4+ years of hands-on industry experience in AAV production, preferably with both adherent and suspension HEK293 cells. Proven track record in scale-up production and purification processes. Technical Skills: Proficiency with AKTA, bioreactors, molecular biology techniques (DNA/RNA/protein isolation, cDNA synthesis, RT-PCR, qPCR, digital PCR, western blot, and immunofluorescence). Leadership: Demonstrated ability to manage and mentor team members in a production environment. Analytical Skills: Strong troubleshooting and optimization skills for viral vector production. Preference will be given to those who display: High motivation, with a strong work ethic and dedication to generating impact Attention to detail, with the ability to extract deep insights from data Ability to go from ideation to data in an independent fashion Long-term personal vision with defined career goals High EQ with team-oriented thinking Demonstrated excellence in small team environments, including a “no task is too small” attitude If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team. Please apply directly through LinkedIn or through our website (*************** Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.
    $117k-156k yearly est. 12d ago
  • Research Scientist

    Acceler8 Talent

    Senior Scientist Job In San Jose, CA

    Join Us as a Research Scientist in AI: Shape the Future of Collaborative AI! About Us Our mission is to strengthen the relationship between humans and AI, enabling collaborative capabilities that far exceed current possibilities. We're creating AI solutions that quickly learn, enhance productivity, and streamline complex workflows. By integrating human feedback with innovative technology, our models empower users to tackle challenging tasks and drive impactful results. The Role As a Research Scientist, you'll lead initiatives to enhance our models' performance, efficiency, and robustness after initial training. What You'll Be Working On Conduct and drive research projects focused on the post-training stage of our models, improving their practical capabilities and real-world effectiveness. Collaborate with product teams to align research outcomes with business needs, bridging the gap between technical innovation and customer impact. Design and execute experiments to enhance post-training model adaptability for enterprise applications. Develop synthetic datasets and create evaluations for real-world enterprise use cases. What We Are Looking For Strong research background in post-training optimization and fine-tuning of large language models, with familiarity in frameworks such as Megatron, DeepSpeed, or MaxText. A solid grasp of machine learning fundamentals and a practical, research-driven mindset. Proven experience in designing new ML methods or refining existing techniques. Proficiency in programming languages commonly used in ML research, particularly Python. Excellent analytical, problem-solving, and collaboration skills. A passion for building impactful technology in a fast-paced, hands-on environment. If you're ready to push the boundaries of AI and make a meaningful impact, we invite you to join our innovative team and help us redefine what's possible!
    $95k-160k yearly est. 3d ago
  • Applied Scientist

    Tanoshii

    Senior Scientist Job In San Jose, CA

    Join our innovative video generation startup as a Lead AI Engineer! We're revolutionizing video creation with AI, and we need your expertise to build our next-gen world simulation engine. You'll craft intelligent systems that understand and generate realistic video content, pushing the boundaries of what's possible in AI-driven storytelling. We're backed by T1 silicon valley investors, with a crack founding team. If you come from a background developing self-driving world models or affective computing background, we think you'll be a good fit.
    $104k-165k yearly est. 9d ago
  • Applied Scientist

    Deeprec.Ai

    Senior Scientist Job 10 miles from San Jose

    Applied Scientist (Senior/Staff/Principal) We are looking for a passionate and driven Research Scientist to join an impressive applied research company in the Bay Area. In this role, you will lead pioneering research efforts, design benchmarks, and develop advanced agent architectures. This position is perfect for someone eager to push the boundaries of AI and contribute to the development of innovative digital systems. Key Responsibilities: Conduct in-depth research and analyse scientific papers to inform new approaches. Design and implement benchmarks for assessing AI performance. Develop and refine agent architectures to drive cutting-edge advancements. Execute experiments to validate hypotheses and enhance system capabilities. Collaborate closely with a multidisciplinary team to align research efforts with strategic goals. Stay abreast of the latest breakthroughs in AI and related technologies. Skills and Qualifications: PhD in a computational or related field, with substantial research experience. Strong proficiency in programming (particularly Python) and machine learning. Deep knowledge of areas like computer vision, reinforcement learning, robotics, or NLP. Independent thinker with excellent problem-solving skills and a creative mindset. Ability to work collaboratively while bringing fresh ideas to complex challenges. For more information, please apply and we shall be in touch promptly! We look forward to hearing from you
    $104k-165k yearly est. 9d ago
  • Staff Machine Learning Scientist

    Storm3

    Senior Scientist Job 10 miles from San Jose

    ⚡ Staff Research Engineers/Scientists 💊 Biology Foundation Models ($100M+ Seed) 🌎 San Francisco Bay Area, USA 💸 $250,000 - $350,000 salary + bonus + equity Come join a revolutionary stealth biotech building interconnected Foundational Models across multiple modalities in biology and genomic discovery. Opportunity to join as a core member in a rapidly growing division, founded by A-listers in tech & academia. Seeking experts in modern LLM architectures - Diffusion, GNN, Normalizing Flows etc. Responsibilities: Design, develop and train novel AI models for a multimodal approach to biodiscovery Research and iterate models to ensure optimal-performance data transformation Navigate the latest literature and fine-tune models geared towards biological breakthroughs Proactively impact the roadmap & talent onboarding for their development Requirements: MS or PhD in Comp Sci/ML, Chem, Bio or related field 5+ years development & training of LLM/Diffusion/GNN models for 7-70b param models Experience in computational packages applied to chem/bio (bonus) Proficiency in leveraging high compute GPU clusters Why apply: Opportunity to build out a new division at the forefront of AI innovation FAANG competitive salary & package Work alongside superstars from FAANG, Genentech & AI pioneering companies Medical, Dental and Vision Insurance Relocation package available 🌎 San Francisco Bay Area, USA 📧 Interested in applying? Please click on the ‘Easy Apply' button or alternatively email me your resume at *********************** ⚡ Storm3 is a HealthTech recruitment firm with clients across major Tech hubs in Europe, APAC and North America. To discuss open opportunities or career options, please visit our website at storm3.com and follow the Storm3 LinkedIn page for the latest jobs and int el
    $91k-153k yearly est. 9d ago
  • AAV Production Senior Research Associate / Associate Scientist

    Amber Bio 4.2company rating

    Senior Scientist Job In San Jose, CA

    Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA writing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. Multiple openings are available on a rapidly growing team. As an early team member, you will have the opportunity to contribute to strategic planning and future hiring. If you are interested in building a new frontier in genetic medicine, please apply via LinkedIn or through our website (*************** We are seeking a skilled AAV Production Senior Research Associate/Associate Scientist to join our growing team. This role involves leading and executing all aspects of AAV production, with a focus on downstream optimization to enhance viral yield, quality, and consistency. The ideal candidate will bring extensive expertise in AAV production across adherent and suspension cell platforms and demonstrate a proven track record of optimizing protocols for scale-up, purification, and workflow efficiency. This role requires a collaborative spirit and the ability to work across teams to support AAV production and characterization. Key Responsibilities AAV Production and Process Development Develop and scale AAV production processes, including IOX gradient purification and affinity column purification, for increased yield and optimized turnaround. Perform cell culture for AAV production (adherent and suspension). Operate bioreactors, AKTA systems, pumps, mixers, and automated buffer exchange systems to streamline and automate purification workflows. Continuously improve purification methods (e.g., AKTA tandem purification) to automate and streamline multi-sample processes. AAV Characterization and Assay Development Run AAV potency, biodistribution, transduction efficiency, and immunofluorescence assays to evaluate AAV performance in mammalian cell lines. Perform dd PCR, sequencing, and ELISA-based assays for quantitative and qualitative characterization of AAV vectors, including titer, purity, and genome integrity assessments. Conduct in-depth analysis on AAV stability, aggregation, and particle-to-infectivity ratios to refine vector quality and consistency Collaborate on optimizing purification and buffer exchange protocols to enhance yield, purity, and formulation stability across multiple AAV serotypes. Support upstream cell culture scale-up with a focus on consistent AAV quality and reproducibility for downstream characterization assays. Inventory, Documentation, and Workflow Management Manage lab inventory, ensuring timely ordering of supplies and efficient use of resources. Maintain accurate records and data using platforms such as Benchling Workflow; author SOPs, testing summaries, and production batch records. Produce AAV lots to support research and preclinical studies, ensuring all production steps meet quality and consistency standards. Collaboration and Training Train and guide team members in AAV production techniques. Support viral transduction for in vitro and in vivo applications. Collaborate with cross-functional teams to meet project goals, and advance novel vectors into pipeline. Lead troubleshooting efforts for production challenges and ensure compliance with established protocols. Qualifications Education: Bachelors or Masters in Molecular Biology, Biochemistry, Virology, or a related field, or equivalent experience. Experience: 4+ years of hands-on industry experience in AAV production, preferably with both adherent and suspension HEK293 cells. Proven track record in scale-up production and purification processes. Technical Skills: Proficiency with AKTA, bioreactors, molecular biology techniques (DNA/RNA/protein isolation, cDNA synthesis, RT-PCR, qPCR, digital PCR, western blot, and immunofluorescence). Leadership: Demonstrated ability to manage and mentor team members in a production environment. Analytical Skills: Strong troubleshooting and optimization skills for viral vector production. Preference will be given to those who display: High motivation, with a strong work ethic and dedication to generating impact Attention to detail, with the ability to extract deep insights from data Ability to go from ideation to data in an independent fashion Long-term personal vision with defined career goals High EQ with team-oriented thinking Demonstrated excellence in small team environments, including a “no task is too small” attitude If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team. Please apply directly through LinkedIn or through our website (*************** Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.
    $117k-156k yearly est. 12d ago
  • Applied Scientist

    Tanoshii

    Senior Scientist Job 10 miles from San Jose

    Join our innovative video generation startup as a Lead AI Engineer! We're revolutionizing video creation with AI, and we need your expertise to build our next-gen world simulation engine. You'll craft intelligent systems that understand and generate realistic video content, pushing the boundaries of what's possible in AI-driven storytelling. We're backed by T1 silicon valley investors, with a crack founding team. If you come from a background developing self-driving world models or affective computing background, we think you'll be a good fit.
    $104k-165k yearly est. 9d ago
  • Applied Scientist

    Deeprec.Ai

    Senior Scientist Job 41 miles from San Jose

    Applied Scientist (Senior/Staff/Principal) We are looking for a passionate and driven Research Scientist to join an impressive applied research company in the Bay Area. In this role, you will lead pioneering research efforts, design benchmarks, and develop advanced agent architectures. This position is perfect for someone eager to push the boundaries of AI and contribute to the development of innovative digital systems. Key Responsibilities: Conduct in-depth research and analyse scientific papers to inform new approaches. Design and implement benchmarks for assessing AI performance. Develop and refine agent architectures to drive cutting-edge advancements. Execute experiments to validate hypotheses and enhance system capabilities. Collaborate closely with a multidisciplinary team to align research efforts with strategic goals. Stay abreast of the latest breakthroughs in AI and related technologies. Skills and Qualifications: PhD in a computational or related field, with substantial research experience. Strong proficiency in programming (particularly Python) and machine learning. Deep knowledge of areas like computer vision, reinforcement learning, robotics, or NLP. Independent thinker with excellent problem-solving skills and a creative mindset. Ability to work collaboratively while bringing fresh ideas to complex challenges. For more information, please apply and we shall be in touch promptly! We look forward to hearing from you
    $104k-165k yearly est. 9d ago
  • Staff Machine Learning Scientist

    Storm3

    Senior Scientist Job 41 miles from San Jose

    ⚡ Staff Research Engineers/Scientists 💊 Biology Foundation Models ($100M+ Seed) 🌎 San Francisco Bay Area, USA 💸 $250,000 - $350,000 salary + bonus + equity Come join a revolutionary stealth biotech building interconnected Foundational Models across multiple modalities in biology and genomic discovery. Opportunity to join as a core member in a rapidly growing division, founded by A-listers in tech & academia. Seeking experts in modern LLM architectures - Diffusion, GNN, Normalizing Flows etc. Responsibilities: Design, develop and train novel AI models for a multimodal approach to biodiscovery Research and iterate models to ensure optimal-performance data transformation Navigate the latest literature and fine-tune models geared towards biological breakthroughs Proactively impact the roadmap & talent onboarding for their development Requirements: MS or PhD in Comp Sci/ML, Chem, Bio or related field 5+ years development & training of LLM/Diffusion/GNN models for 7-70b param models Experience in computational packages applied to chem/bio (bonus) Proficiency in leveraging high compute GPU clusters Why apply: Opportunity to build out a new division at the forefront of AI innovation FAANG competitive salary & package Work alongside superstars from FAANG, Genentech & AI pioneering companies Medical, Dental and Vision Insurance Relocation package available 🌎 San Francisco Bay Area, USA 📧 Interested in applying? Please click on the ‘Easy Apply' button or alternatively email me your resume at *********************** ⚡ Storm3 is a HealthTech recruitment firm with clients across major Tech hubs in Europe, APAC and North America. To discuss open opportunities or career options, please visit our website at storm3.com and follow the Storm3 LinkedIn page for the latest jobs and int el
    $92k-154k yearly est. 9d ago
  • AAV Production Senior Research Associate / Associate Scientist

    Amber Bio 4.2company rating

    Senior Scientist Job 41 miles from San Jose

    Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA writing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. Multiple openings are available on a rapidly growing team. As an early team member, you will have the opportunity to contribute to strategic planning and future hiring. If you are interested in building a new frontier in genetic medicine, please apply via LinkedIn or through our website (*************** We are seeking a skilled AAV Production Senior Research Associate/Associate Scientist to join our growing team. This role involves leading and executing all aspects of AAV production, with a focus on downstream optimization to enhance viral yield, quality, and consistency. The ideal candidate will bring extensive expertise in AAV production across adherent and suspension cell platforms and demonstrate a proven track record of optimizing protocols for scale-up, purification, and workflow efficiency. This role requires a collaborative spirit and the ability to work across teams to support AAV production and characterization. Key Responsibilities AAV Production and Process Development Develop and scale AAV production processes, including IOX gradient purification and affinity column purification, for increased yield and optimized turnaround. Perform cell culture for AAV production (adherent and suspension). Operate bioreactors, AKTA systems, pumps, mixers, and automated buffer exchange systems to streamline and automate purification workflows. Continuously improve purification methods (e.g., AKTA tandem purification) to automate and streamline multi-sample processes. AAV Characterization and Assay Development Run AAV potency, biodistribution, transduction efficiency, and immunofluorescence assays to evaluate AAV performance in mammalian cell lines. Perform dd PCR, sequencing, and ELISA-based assays for quantitative and qualitative characterization of AAV vectors, including titer, purity, and genome integrity assessments. Conduct in-depth analysis on AAV stability, aggregation, and particle-to-infectivity ratios to refine vector quality and consistency Collaborate on optimizing purification and buffer exchange protocols to enhance yield, purity, and formulation stability across multiple AAV serotypes. Support upstream cell culture scale-up with a focus on consistent AAV quality and reproducibility for downstream characterization assays. Inventory, Documentation, and Workflow Management Manage lab inventory, ensuring timely ordering of supplies and efficient use of resources. Maintain accurate records and data using platforms such as Benchling Workflow; author SOPs, testing summaries, and production batch records. Produce AAV lots to support research and preclinical studies, ensuring all production steps meet quality and consistency standards. Collaboration and Training Train and guide team members in AAV production techniques. Support viral transduction for in vitro and in vivo applications. Collaborate with cross-functional teams to meet project goals, and advance novel vectors into pipeline. Lead troubleshooting efforts for production challenges and ensure compliance with established protocols. Qualifications Education: Bachelors or Masters in Molecular Biology, Biochemistry, Virology, or a related field, or equivalent experience. Experience: 4+ years of hands-on industry experience in AAV production, preferably with both adherent and suspension HEK293 cells. Proven track record in scale-up production and purification processes. Technical Skills: Proficiency with AKTA, bioreactors, molecular biology techniques (DNA/RNA/protein isolation, cDNA synthesis, RT-PCR, qPCR, digital PCR, western blot, and immunofluorescence). Leadership: Demonstrated ability to manage and mentor team members in a production environment. Analytical Skills: Strong troubleshooting and optimization skills for viral vector production. Preference will be given to those who display: High motivation, with a strong work ethic and dedication to generating impact Attention to detail, with the ability to extract deep insights from data Ability to go from ideation to data in an independent fashion Long-term personal vision with defined career goals High EQ with team-oriented thinking Demonstrated excellence in small team environments, including a “no task is too small” attitude If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team. Please apply directly through LinkedIn or through our website (*************** Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.
    $117k-157k yearly est. 12d ago

Learn More About Senior Scientist Jobs

How much does a Senior Scientist earn in San Jose, CA?

The average senior scientist in San Jose, CA earns between $95,000 and $233,000 annually. This compares to the national average senior scientist range of $74,000 to $153,000.

Average Senior Scientist Salary In San Jose, CA

$149,000

What are the biggest employers of Senior Scientists in San Jose, CA?

The biggest employers of Senior Scientists in San Jose, CA are:
  1. NVIDIA
  2. Amazon
  3. ServiceNow
  4. ByteDance
  5. Adobe
  6. ADUS-Adobe
  7. GEICO
  8. eBay
  9. Lifelancer
  10. Stealth Ai Startup
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