Data Scientist / Software Engineer 4Location: Sunnyvale, CA (HYBRID)The Data Scientist / Software Engineer 4 will engage in data science-related research and software application development related to our AI Datacenter technology and autonomous platform to provide unprecedented visibility and operational efficiency into the user experience. The Software Engineer will collaborate with other engineers to build the next generation of autonomous Datacenter networks leveraging big data and predictive models. They will leverage data collected from the network to empower the inference engine of our Mist platform and systems, including the Mist virtual assistant chatbot. Additionally, they will use their knowledge of network communication, machine learning, and software engineering to develop and implement scalable algorithms to process large amounts of streaming data to detect anomalies, predict problems, and classify them in real-time. The Software Engineer will also be responsible for developing software and algorithms to enhance the cloud intelligence for Marvis and Apstra Cloud Services for Datacenter.Job Duties:
Design and implement machine learning solutions to process terabytes of streaming data to detect anomalies in DC networks of our customers, predict problems and future trends, classify them in real-time (60%) - Solid statistics and math background, good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.
- Excellent communication skills to articulate observations and use cases with PM and network domain experts who are not experienced in AI/ML through data visualization tools.
- Experience with time series data analysis, forecasting, and correlation is preferable.
- Utilized the latest AI/ML techniques, such as Neural Networks, Transformers, etc., for time series data or interested in exploring these techniques.
- Analyze feature requirements from product managers, and collaborate with engineers and data scientists to design solutions.
- Good understanding of datacenter networking topology and protocols.
- Troubleshoot production environment and customer-reported issues (20%)
- Knowledge of the multi-cloud production environment.
- Agility to troubleshoot open-source data processing engines, such as Apache Spark, Apache Storm, and Apache Flink.
- Utilize analytical and programming skills with open-source systems, such as Hadoop, Hive, Spark, Elasticsearch, Redis, etc., to develop data processing pipelines required for efficacy and latency (20%)
- Good knowledge and experience with big data toolsets and techniques of distributed storage and computation engines.
- Experience developing reusable and highly scalable data processing components.
- Good knowledge and experience working with cloud-based CI/CD tools and cloud DevOps teams to collect stats and create monitors for our data processing pipelines.Basic Qualifications:
- 4-year degree in Computer Science/Engineering/Mathematics or equivalent experience.
- 3+ years of experience in Search Indexing, Ranking, Information Retrieval, and Querying.
- Proficient in Python and Golang.
- Proficient in implementing NLP and Machine Learning models and algorithms into production at scale.Preferred Qualifications:
- PhD or MS in Computer Science, Applied Mathematics, Physics, or related quantitative field.
- 5+ years of experience with statistical data analysis, data mining, and querying.
- Experience in deploying and leading complete ML platforms in AWS/GCP/Azure.Minimum Salary: $140,800.00Maximum Salary: $202,400.00The pay range for this position is expected to be between $140,800.00 and $202,400.00/year; however, the base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position also includes medical benefits, 401(k) eligibility, vacation, sick time, and parental leave. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment.If hired, the employee will be in an at-will position and the Company reserves the right to modify base salary (as well as any other payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.Juniper's pay range data is provided in accordance with local state pay transparency regulations. Juniper may post different minimum wage ranges for permanent residency petitions pursuant to US Department of Labor requirements. #J-18808-Ljbffr