Software Engineer, Machine Learning
Bellevue, WA
- 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, such as 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 large 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 (such as distributed clusters, multicore SMP, and GPU). - Identify deep systematic problems across multiple related ranking and recommendations systems
and develop efficient and scalable generalizable solutions. - Explore cutting edge Machine Learning technologies across the industry with related areas and bridge the gap between
theoretical hypothesis and real world applications.
- Requires a Master’s degree in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field and four years of work experience in the job offered or in a computer-related occupation. Requires four years of experience in the following:
- 1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
- 2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
- 3. Translating insights into business recommendations
- 4. Hadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, or Spark
- 5. Developing and debugging in C, C++, and Java
- 6. Scripting languages: Perl, Python, PHP, or shell scripts
- 7. C, C++, C#, or Java
- 8. Python, PHP, or Haskell
- 9. Relational databases and SQL
- 10. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
- 11. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
- 12. Build highly-scalable performant solutions
- 13. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
- 14. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in
production systems - 15. Distributed systems.
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
Tags: Bigtable Classification Computer Science Computer Vision Data Mining Deep Learning Distributed Systems Engineering Git GPU Hadoop Haskell HBase Java Linux Machine Learning Mathematics MXNet NLP Perl PHP Physics Python PyTorch RDBMS Research Shell scripting Spark SQL TensorFlow VR
Perks/benefits: Career development Equity / stock options Health care Salary bonus
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Engineer II jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Research Scientist jobs
- Open Business Intelligence Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Business Data Analyst jobs
- Open Principal Data Scientist jobs
- Open Sr Data Engineer jobs
- Open Data Science Manager jobs
- Open Data Science Intern jobs
- Open Lead Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Junior Data Scientist jobs
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Data Analyst II jobs
- Open Software Engineer, Machine Learning jobs
- Open Product Data Analyst jobs
- Open Data Quality Analyst jobs
- Open Data Engineer III jobs
- Open ETL Developer jobs
- Open Data quality-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open PhD-related jobs
- Open PyTorch-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open Deep Learning-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open LLMs-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Snowflake-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open Databricks-related jobs
- Open Airflow-related jobs
- Open RDBMS-related jobs