Staff Data Scientist

Sysdig is driving the standard for securing the cloud and containers. We created Falco, the open standard for cloud-native threat detection, and consistently contribute to open source software projects. We are passionate, technical problem-solvers, continually innovating and delivering powerful solutions to secure the cloud from source to run. We value diversity and open dialog to spur ideas, working closely together to achieve goals. We’re an international company that understands how to cultivate a strong culture across a remote team. And we're a great place to work too — we've been named a Bay Area Best Place to Work by the San Francisco Business Times and the Silicon Valley Business Journal for three years now! We were recognized by Deloitte as one of the 500 fastest growing organizations in 2020 and 2021. We are looking for team members who have a passion for container and cloud security and are willing to dig deeper to help our customers. Does this sound like the right place for you? What you will do: - Work with product team to understand customer’s pain points and define problem statements - Evaluate state of art and assess the feasibility of different machine learning models - Define rigorous research plan and experimental protocol. Manage end-to-end machine learning projects, from business requirements to actual collaboration with ML engineers for production release - Design ML algorithms and perform model assessment - Communicate the results across several stakeholders and support decision making - Provide feedbacks, review research plans, and actively collaborate with other data scientists in the domain of Generative AI, time series analysis, and anomaly detection - Stay up to date of the most recent advancements in AI/ML research through papers and publications - Embrace a startup mindset to drive innovation and agility within the organization What you will bring with you: - Experience in leading data science projects - Experience in Machine Learning and principal scientific packages (e.g. Pytorch, Tensorflow, Keras, Scikit, Pandas, etc) - Experience with most relevant Generative AI frameworks (langchain, openai, anthropic, …) - Experience with at least one programming language (e.g. Python, Go) What we look for: - 5+ years of experience in a relevant role - PhD degree in Machine Learning, Statistics, Computer Science, Physics or other relevant fields - Ability to conduct independent applied research in cyber attacks detection - Strong background in deep learning, time series analysis, anomaly detection, and NLP - Strong Scientific skills - Strong Programming skills - Comfort with startup environment Why work at Sysdig? - We’re a well-funded startup that already has a large enterprise customer base - We have a pragmatic, transparent culture, from the CEO down - We have an organizational focus on delivering value to customers - Our open source tools (https://sysdig.com/opensource/) are widely used and loved by technologists & developers When you join Sysdig, you can expect: - Competitive compensation including equity opportunities - Flexible hours and additional recharge days - Mental wellbeing support through Modern Health for you and your family - Career growth Some of our hiring managers are based internationally, an up to date CV in English would be appreciated #LI-FD1 #LI-Hybrid