{"id":4128678,"url":"https://alion.io/job/netskope-staff-machine-learning-scientist-2","title":"Staff Machine Learning Scientist","company":{"id":58702,"name":"Netskope","domain":"netskope.com","url":"https://alion.io/company/netskope","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":85,"open_postings":14,"ghost_share":0,"stale_share":0.357,"repost_share":0.071,"time_to_fill_p50_days":63,"computed_at":"2026-11-11T05:49:22Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":133500,"max":235000,"currency":"USD","period":"year","gross":null,"usd_annual":235000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Zero Trust","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CUDA","optional":true},{"name":"GCP","optional":true},{"name":"NLP","optional":true},{"name":"Python","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-11-12T00:32:34Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T01:55:33Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Join the Future of Security at Netskope\nNetskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and the powerful NewEdge network to gain full visibility and control without performance trade-offs.\nAt Netskope, our technology is driven by our greatest strength: our people. We believe that belonging powers innovation, and success is both personal and organizational. We embrace differences in gender, ethnicity, beliefs, ability, and identity, creating an environment where every voice is heard and respected. We empower our employees to bring their authentic selves to work, grow their careers through continuous education and mentorship, and lead with transparency and curiosity. Join a team where you belong, where you are encouraged to be an entrepreneur, and where together, we continue to redefine the landscape of security.\nVisit Careers at Netskope to learn more. Follow us on LinkedIn and Instagram.\nAbout the role\nPlease note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience.\nWithin Netskope Engineering, the Netskope AI Labs is responsible for advancing state-of-the-art artificial intelligence (AI) and machine learning (ML) technology to power the Netskope Intelligent Security Service Edge (SSE) security platform. Leveraging our expertise in AI/ML and security, we are developing large-scale AI/ML solutions for SSE. For example, we are integrating the latest AI/ML technology into our data security and threat protection features, as well as business operations.\nWhat’s in it for you\nWe are looking for a talented and motivated machine learning scientist to join our team. A successful candidate has deep technical expertise in applying AI/ML technologies in security applications and/or adjacent domains, and must be passionate about cloud security and AI security. You will have the opportunity to work with a team of talented engineers, researchers, and machine learning engineers to solve the most challenging cloud security problems today. \nWhat you will be doing\nIdentify strong AI/ML use cases in AI security, data security, and adjacent domains, leveraging Netskope’s rich set of data sources\nDefine scalable data acquisition and labeling strategy for specific use cases\nWork with data engineers to retrieve, clean, and normalize data and ensure a scalable and continuous high-quality data stream\nWork closely with threat research and development teams in feature engineering, making sure high-quality feature sets are chosen in a systematic way\nDevelop ML models for defined use cases and implement KPIs to ensure optimal algorithms and results\nConduct strict internal testing to ensure high efficacy, low false positive and false negative rate\nInterpret results and communicate findings\nDocument use case, data acquisition, feature engineering, training, validation, deployment, future improvement opportunity, and other important aspects\nWork closely with development and QE teams in productization\nBe an evangelist of AI/ML within Netskope and promote AI/ML wherever applicable, beyond security use cases\nStaying up-to-date with the latest developments in AI/ML such as large language models (LLM)\nRequired skills and experience\nMust have a true startup spirit and be willing to wear multiple hats and deliver end-to-end solutions\n8+ years of industry experience in developing AI/ML models, preferably on security products or services\nHands-on experience with relevant technology stacks such as CUDA, Python, Tensorflow, LLM, etc.\nHands-on experience using modern big data pipelines and cloud computing platforms such as AWS, Azure, or GCP\nNatural language process (NLP) and data mining experience highly desirable\nEnergetic self-starter with the desire to work in a dynamic fast-paced environment\nExcellent verbal and written communication skills and ability to explain complex concepts to non-technical stakeholders\nAbility to influence without authority\nEducation\nAdvanced degree in Computer Science, Statistics, Electrical Engineering, or equivalent technical degree\nCompensation: \nAt Netskope, salary is one component of our competitive total rewards package. The salary range for this position is as listed below. This is a national range. For purposes of complying with applicable laws, the range applies to candidates in California, Colorado, Illinois, Maryland, New York, Washington, and other states.\nThe successful candidate’s starting pay will also be determined based on job-related skills, experience, qualifications, location, and market conditions. \nFor all sales roles, the posted salary range is the On Target Earnings (OTE) range for the role, which is the sum of base salary and target commission amount at 100% goal achievement.\nIn addition to salary, candidates may be eligible for other forms of compensation such as participation in a bonus plan (for non-sales roles) and a stock award program. Candidates may also be eligible for a comprehensive health plan and other benefits that can be reviewed at Netskope Benefits site. \nSalary Range\n$133,500—$235,000 USD\nNetskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate.\nNetskope respects your privacy and is committed to protecting the personal information you share with us, please refer to Netskope's Privacy Policy for more details.\nThe application window for this position is expected to close within 50 days. 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