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Software Engineer (Leadership) - Machine Learning

Software Engineer (Leadership) - Machine Learning

4 Hours ago • 4-8 Years

About the job

Summary_{By Outscal}

9 skills required for this role

Boost these skills to join the top 1% applicants for this job

Must have:

Lead projects with industry-wide impact
Vast experience in cross-functional communication
Multi-year roadmap planning experience
Experience driving large engineering efforts
Significant experience in programming (Python, C++, Java, or R)
Mentoring/influencing senior engineers
Expertise in machine learning or related fields

Good to have:

B.S. Computer Science or related field
Experience shipping products to millions of users
Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark

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Facebook is seeking Machine Learning Engineers to join our engineering team. The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web.

Software Engineer (Leadership) - Machine Learning Responsibilities

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)

Minimum Qualifications

Experience leading projects with industry-wide impact

Vast experience communicating and working across functions to drive solutions

Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long term-vision

Experience in driving large cross-functional/industry-wide engineering efforts

Significant experience in programming languages (Python, C++, Java, or R) with a technical background

Significant experience in mentoring/influencing senior engineers across organizations

Significant experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining, or artificial intelligence

Preferred Qualifications

B.S. Computer Science or related technical field

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

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About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Equal Employment Opportunity and Affirmative Action

Meta is proud to be an Equal Employment Opportunity and Affirmative Action 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 .

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to .

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