Software Engineer, Machine Learning
Menlo Park, CA
Meta
Giving people the power to build community and bring the world closer together- Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
- Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
- Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
- Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
- Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
- Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
- Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
- Perform peer code & design reviews, and make sure our systems are built with Meta's standards.
- Build privacy focused systems to adhere to Meta's privacy standards.
- Requires a Bachelor’s degree in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field and 4 years of experience in the job offered, or computer related field. Requires 4 years of experience in the following:
- 1. Programming experience in a relevant programming language like C, C++, C#, or Java
- 2. Python, PHP, or Haskell
- 3. Relational databases and SQL
- 4. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
- 5. Linux, UNIX, or other *nix-like OS including file manipulation and simple commands
- 6. Core web technologies: HTML, CSS, or JavaScript
- 7. Building highly-scalable performant solutions
- 8. Distributed systems including sharding, consistency, and availability
- 9. Algorithms.
- 10. Hands-on experience in at least one of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence
- 11. Expert knowledge developing production level ML products and uncovering efficiencies by deploying of large-scale GPU heavy application.
$२,१९,२२१/year to $२,४०,२४०/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.
Tags: Classification Computer Science Data Mining Deep Learning Distributed Systems Engineering Git GPU Haskell Java JavaScript Linux Machine Learning Mathematics PHP Physics Privacy Python RDBMS Research SQL VR
Perks/benefits: Career development Equity / stock options Health care Salary bonus
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