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Director Of Machine Learning Engineering-Us Remote
Company | Splunk |
Address | , Remote |
Employment type | FULL_TIME |
Salary | $184,000 - $253,000 a year |
Expires | 2023-07-24 |
Posted at | 11 months ago |
Join us as we pursue our disruptive new vision to make data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, our customers, having fun, and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!
Responsibilities:
- Build a culture of continuous learning, growth, and sharing of technological insights.
- Drive practices in training and development, and drive efficiencies across multiple feature teams.
- Recruit, mentor, and grow world class engineers and managers.
- Facilitate coordination of multiple scrum teams to successfully deliver committed feature sets.
- Help define technical direction and architecture with engineering team members.
- Partner with cross functional team members to develop and maintain a well-defined roadmap, while balancing technological excellence.
Requirements:
- Experience building geo-distributed teams in EU (highly preferred)
- Experience shipping at least 2 consumer-facing SaaS products built on AWS
- 10+ years of hands-on technical experience.
- Bachelor’s degree in Computer Science or another quantitative field. We will consider equivalent practical experience.
- 4+ years of direct management experience of highly technical managers and engineers.
- Experience in delivering multiple complex technical projects within an Agile environment.
- Experience building ML/AI driven SaaS products and engineering teams
Knowledge, Skills, and Abilities:
- Outstanding written and verbal communication skills
- Expertise in developing software on a public cloud platform (AWS, GCP, Azure).
- Familiar with machine learning and data science workflows.
- Demonstrated ability to build a culture of team building and people management.
- Comfortable managing and mentoring ML Researchers, Engineers and Cloud Platform Engineers
- Demonstrated ability to reach stretch goals in a fast-paced environment.
- Proficiency with backend systems built using microservices, containerized infrastructure, and modern continuous delivery practices.
- Expertise in developing software with stream processing technology (Kafka, AWS Kinesis).
Note: Splunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out below, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.
Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off, an ESPP and much more! Learn more about our comprehensive benefits and wellbeing offering at https://splunkbenefits.com.
Base Pay Range
SF Bay Area, Seattle Metro, and New York City Metro Area
Base Pay Range: $230,400.00 - 316,800.00 per year
California (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and Massachusetts
Base Pay Range: $204,000.00 - 280,500.00 per year
All other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.
Base Pay Range: $184,000.00 - 253,000.00 per year
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