- Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient
- Effectively communicate complex features and 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 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
- Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn
- Experience with model serving architectures and tools like TensorFlow Serving or AWS SageMaker
- Proven experience in designing and implementing ML infrastructure for large-scale systems
$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.
Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
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