Cohesity Inc.
Staff Applied Scientist | Santa Clara, CA - USA (Office)
Cohesity Inc., Santa Clara, California, us, 95053
Overview
Cohesity is the leader in AI-powered data security with over 13,600 enterprise customers, including over 85 of the Fortune 100 and nearly 70% of the Global 500. Cohesity provides data security across on-premises, cloud, and edge environments, backed by partners such as NVIDIA, IBM, HPE, Cisco, AWS, and Google Cloud. The company is headquartered in Santa Clara, CA, with offices worldwide and has been recognized for Innovation, Product Strength, and Design. We are seeking a Staff Applied Scientist to spearhead advanced modeling, generative AI, and agentic workflows. This role combines expertise in statistical and machine learning methodologies—from causal inference and time-series forecasting to reinforcement learning—with hands-on development of transformer-based LLMs, semantic search, and scalable AI system architectures. You will architect production-ready platforms, validate models through rigorous experimentation, and mentor a team to execute Cohesity’s AI vision. Responsibilities
Staff Applied Scientist will lead Cohesity’s efforts in NLP, generative AI, agentic development, and advanced data science modeling, driving design, validation, and deployment of complex algorithms and scalable AI platforms. You will translate business objectives into robust statistical and ML solutions, oversee end-to-end experimentation, model governance, and performance optimization. Advanced Modeling & Algorithm Development Lead development of predictive and prescriptive models—including deep learning, reinforcement learning, time-series forecasting, and causal inference pipelines—ensuring scientific rigor and production readiness. Design and execute statistical experiments and A/B tests, establishing robust validation frameworks and ensuring reproducibility. Experimentation & Performance Optimization Design and implement robust experimentation frameworks—including A/B testing and causal inference methods—to evaluate AI-driven features and optimize product decisions. Oversee performance profiling, benchmarking, and resource-efficient deployment strategies to meet strict latency and cost targets. Generative AI & NLP Develop and fine-tune transformer-based LLMs (e.g., using LoRA, QLoRA, and full fine-tuning techniques) to optimize performance for domain-specific tasks. Implement Reinforcement Learning with Feedback (RLF) or Human Feedback (RLHF) to improve response quality and alignment with user intent. Optimize training and inference workloads using GPU acceleration (CUDA) and explore model deployment using NVIDIA Inference Microservices (NIM) for scalable, low-latency serving. Orchestrate multi-agent workflows and tool use with frameworks such as LangChain and OpenAI's Operator. Integrate retrieval-augmented generation (RAG) and semantic search capabilities using vector databases like Pinecone, Weaviate, or Milvus. Drive end-to-end delivery of customer-facing AI solutions by leveraging enterprise data catalogs to build domain-specific LLMs, enabling context-aware responses grounded in structured and unstructured data. Architect scalable, distributed AI platforms leveraging cloud/serverless technologies (AWS Lambda, Azure Functions) and GraphQL APIs for real-time inference. Drive performance profiling, benchmarking, and resource-efficient deployment strategies to meet strict latency and cost targets. Cross-Functional Collaboration Partner with Product, Marketing, Finance, and Engineering teams to build scalable data pipelines and real-time dashboards that deliver actionable insights. Translate complex modeling and AI concepts into clear narratives and presentations for stakeholders across the organization. Mentor and coach data scientists and engineers through design reviews, pair programming, and career development. Establish best practices in model governance, data privacy, and ethical AI, and drive their adoption across teams. Qualifications & Requirements Master’s or Ph.D. in Computer Science, Statistics, Machine Learning, or a related quantitative field. 15+ years in data science/AI roles with at least 3 years leading large-scale AI or data science modeling initiatives in production environments. Expert proficiency in Python and software engineering best practices; Golang or Java experience is a plus. Hands-on with TensorFlow, PyTorch, and other deep learning frameworks; proven track record with transformer-based LLMs. Deep expertise in statistical modeling, machine learning algorithms, and MLOps frameworks for model lifecycle management. Familiarity with AI ethics, governance, and data privacy frameworks (e.g., EU AI Act, IEEE Trustworthy AI). Publications or patents in machine learning, data science, or AI domains. Experience scaling AI solutions in high-growth or startup environments under tight timelines. Benefits
Healthcare coverage for you and your family Paid parental leave Flexible paid time off Additional company-wide days off throughout the year A robust wellness program Continuous learning opportunities A competitive salary and additional benefits package EEO Notice
Cohesity is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at 1-855-9COHESITY or talent@cohesity.com for assistance. Notice to external recruiters and staffing agencies
Cohesity does not accept unsolicited resumes from external recruiters or staffing agencies. Any submission of an unsolicited resume to our resume database, directly to Cohesity hiring managers, or by other means will be considered gratis and no recruiting fee will be paid if an unsolicited candidate from a third-party recruiter is subsequently hired. Fees will be paid only where an external recruiter has an executed service contract in place with Cohesity and resumes have been solicited by our Talent Acquisition team in connection to a specific job opening. Life at Cohesity
Want to learn more about Life at Cohesity and our RADIO Values? Read more from our employees here.
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Cohesity is the leader in AI-powered data security with over 13,600 enterprise customers, including over 85 of the Fortune 100 and nearly 70% of the Global 500. Cohesity provides data security across on-premises, cloud, and edge environments, backed by partners such as NVIDIA, IBM, HPE, Cisco, AWS, and Google Cloud. The company is headquartered in Santa Clara, CA, with offices worldwide and has been recognized for Innovation, Product Strength, and Design. We are seeking a Staff Applied Scientist to spearhead advanced modeling, generative AI, and agentic workflows. This role combines expertise in statistical and machine learning methodologies—from causal inference and time-series forecasting to reinforcement learning—with hands-on development of transformer-based LLMs, semantic search, and scalable AI system architectures. You will architect production-ready platforms, validate models through rigorous experimentation, and mentor a team to execute Cohesity’s AI vision. Responsibilities
Staff Applied Scientist will lead Cohesity’s efforts in NLP, generative AI, agentic development, and advanced data science modeling, driving design, validation, and deployment of complex algorithms and scalable AI platforms. You will translate business objectives into robust statistical and ML solutions, oversee end-to-end experimentation, model governance, and performance optimization. Advanced Modeling & Algorithm Development Lead development of predictive and prescriptive models—including deep learning, reinforcement learning, time-series forecasting, and causal inference pipelines—ensuring scientific rigor and production readiness. Design and execute statistical experiments and A/B tests, establishing robust validation frameworks and ensuring reproducibility. Experimentation & Performance Optimization Design and implement robust experimentation frameworks—including A/B testing and causal inference methods—to evaluate AI-driven features and optimize product decisions. Oversee performance profiling, benchmarking, and resource-efficient deployment strategies to meet strict latency and cost targets. Generative AI & NLP Develop and fine-tune transformer-based LLMs (e.g., using LoRA, QLoRA, and full fine-tuning techniques) to optimize performance for domain-specific tasks. Implement Reinforcement Learning with Feedback (RLF) or Human Feedback (RLHF) to improve response quality and alignment with user intent. Optimize training and inference workloads using GPU acceleration (CUDA) and explore model deployment using NVIDIA Inference Microservices (NIM) for scalable, low-latency serving. Orchestrate multi-agent workflows and tool use with frameworks such as LangChain and OpenAI's Operator. Integrate retrieval-augmented generation (RAG) and semantic search capabilities using vector databases like Pinecone, Weaviate, or Milvus. Drive end-to-end delivery of customer-facing AI solutions by leveraging enterprise data catalogs to build domain-specific LLMs, enabling context-aware responses grounded in structured and unstructured data. Architect scalable, distributed AI platforms leveraging cloud/serverless technologies (AWS Lambda, Azure Functions) and GraphQL APIs for real-time inference. Drive performance profiling, benchmarking, and resource-efficient deployment strategies to meet strict latency and cost targets. Cross-Functional Collaboration Partner with Product, Marketing, Finance, and Engineering teams to build scalable data pipelines and real-time dashboards that deliver actionable insights. Translate complex modeling and AI concepts into clear narratives and presentations for stakeholders across the organization. Mentor and coach data scientists and engineers through design reviews, pair programming, and career development. Establish best practices in model governance, data privacy, and ethical AI, and drive their adoption across teams. Qualifications & Requirements Master’s or Ph.D. in Computer Science, Statistics, Machine Learning, or a related quantitative field. 15+ years in data science/AI roles with at least 3 years leading large-scale AI or data science modeling initiatives in production environments. Expert proficiency in Python and software engineering best practices; Golang or Java experience is a plus. Hands-on with TensorFlow, PyTorch, and other deep learning frameworks; proven track record with transformer-based LLMs. Deep expertise in statistical modeling, machine learning algorithms, and MLOps frameworks for model lifecycle management. Familiarity with AI ethics, governance, and data privacy frameworks (e.g., EU AI Act, IEEE Trustworthy AI). Publications or patents in machine learning, data science, or AI domains. Experience scaling AI solutions in high-growth or startup environments under tight timelines. Benefits
Healthcare coverage for you and your family Paid parental leave Flexible paid time off Additional company-wide days off throughout the year A robust wellness program Continuous learning opportunities A competitive salary and additional benefits package EEO Notice
Cohesity is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at 1-855-9COHESITY or talent@cohesity.com for assistance. Notice to external recruiters and staffing agencies
Cohesity does not accept unsolicited resumes from external recruiters or staffing agencies. Any submission of an unsolicited resume to our resume database, directly to Cohesity hiring managers, or by other means will be considered gratis and no recruiting fee will be paid if an unsolicited candidate from a third-party recruiter is subsequently hired. Fees will be paid only where an external recruiter has an executed service contract in place with Cohesity and resumes have been solicited by our Talent Acquisition team in connection to a specific job opening. Life at Cohesity
Want to learn more about Life at Cohesity and our RADIO Values? Read more from our employees here.
#J-18808-Ljbffr