Metapack
Software Engineer, Core Machine Learning
Job Description
- Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
- Work 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, or search ranking,
text or sentiment classification, collaborative filtering or recommendation, or spam detection. - Develop highly scalable systems, algorithms and tools leveraging deep learning, data
regression, and rules-based models. - Suggest, collect, analyze, and synthesize requirements and bottlenecks in technology, systems, and tools.
- 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). - Suggest, collect, and synthesize requirements and create effective feature roadmaps.
- Lead projects to help
unblock and advocate for ML excellence. - Collaborate closely with cross-functional teams to enhance existing algorithms and create new ones, consistently seeking opportunities to
optimize performance and accuracy. - Elevate your role by leading strategic projects aimed at overcoming obstacles and elevating the overall standard of machine learning excellence within
the organization.
Minimum Qualifications
- Requires a Master’s degree in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field. Requires completion of a university
course, research project, internship, or thesis in the following: - 1. Experience with at least one of the following: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field
- 2. Reading and writing academic research using LaTex
- 3. Machine Learning Framework(s): PyTorch, Caffe2, or Tensorflow
- 4. Hadoop, HBase, Pig, MapReduce, Sawzall, or Bigtable
- 5. Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, or shell scripts
- 6. Relational databases and SQL
- 7. Software development tools: Code editors (VSCode, VIM or Emacs), and revision control systems (Mercury or Git)
- 8. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting.
LocationsAbout 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. 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 [email protected]. $186,916/year to $200,200/year + bonus + equity + benefits
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.
