Software Engineer (Technical Leadership) - Machine Learning
Bellevue, WA | Menlo Park, CA | Washington, DC | New York, NY | Remote, US
- Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficient
- Effectively communicate complex features & systems in detail
- Understand industry & company-wide trends to help assess & develop new technologies
- Partner & collaborate with organization leaders to help improve the level of performance of the team & organization
- Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas
- Suggest, collect and synthesize requirements and create an effective feature roadmap
- Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models
- Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- Experience leading projects with industry-wide impact
- Experience communicating and working across functions to drive solutions
- Experience in mentoring/influencing senior engineers across organizations
- Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term vision
- Experience in driving large cross-functional/industry-wide engineering efforts
- 12+ years of experience in programming languages (Python, C++, Java or R) with technical background
- 8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining or artificial intelligence
- Experience in shipping products to millions of customers or have started a new line of product
- Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark
$213,000/year to $293,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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Job Profile
Accommodations Benefits Bonus Equity Health benefits Long term conditions Mental health conditions Pregnancy-related support Religious beliefs
Tasks- Adapt machine learning methods
- Assess new technologies
- Build
- Collaborate with leaders
- Communicate complex features
- Develop
- Develop new technologies
- Develop scalable classifiers
- Drive technical direction
- Identify new opportunities
Artificial Intelligence Bigtable C C++ Classification Computer Science Data Mining Engineering GPU Hadoop HBase Hive Identity Industry experience Influencing Java Leadership Machine Learning MapReduce Mentoring NLP Optimization Organization Pattern Recognition Physics Pig Prediction Programming Programming languages Python R Recommendation systems Recruiting Regression Sawzall Spark Systems Technical Technical Direction Technical Leadership Tools Virtual reality Web
Experience12 years
EducationArtificial Intelligence Bachelor Bachelor's Bachelor's degree Bachelor's degree in Computer Science Computer Engineering Computer Science Engineering Equivalent Equivalent practical experience Physics Planning Relevant technical field Technical field Technology
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9