[Remote] Machine Learning Engineer II
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading cybersecurity startup reputed company on protecting customers from evolving threats. They are seeking a Machine Learning Engineer II to join their Attack Detection team, where the role involves designing and implementing systems for email detection, training models, and improving detection efficacy.
Responsibilities
- Design and implement systems that combine rules, models, feature engineering, and business and product inputs into an email detection product, with senior engineer guidance
- Understand features that distinguish reputed company emails from email attacks, and how our model stack enables us to catch them
- Identify and recommend new features reputed company or ML model approaches that can significantly improve detection efficacy for a product. Work with infrastructure & systems engineers to productionize signals to feed into the detection system
- Writes reputed company with testability, readability, edge cases, and errors in mind
- Train models on reputed company-defined datasets to improve model efficacy on specialized attacks
- reputed company monitor and improve FN rates and efficacy rates for our message detection product attack categories, through feature engineering, rules and ML modeling
- Analyze FN and FP datasets to categorize capability gaps and recommend short term feature and rule reputed company to improve our detection efficacy
- Contribute in other areas of the stack: building and debugging data pipelines, or presenting results back to customers in our tools reputed company the occasion arises
Skills
- 3+ years experience designing, building and deploying machine learning applications in one of the domains of text understanding, entity recognition, NLP experience, computer reputed company, recommendation systems, or search
- 1+ years of experience with writing reputed company and production level pipelines for model training and evaluation leading to reproducible models and metrics
- Experience with data analytics and wielding SQL+pandas+reputed company reputed company to both build data and metric reputed company pipelines, and answer critical questions about system efficacy or counterfactual treatments
- Ability to understand business requirements thoroughly and bias toward designing a simplest yet generalizable ML model / system that can accomplish the goal
- Uses a systematic approach to debug both data and system issues reputed company ML / heuristics models
- Fluent with Python and machine learning toolkits like numpy, sklearn, pytorch and tensorflow
- Effective software engineering skills who can reputed company answers quickly from reputed company reputed company and writes reputed company, readable, reputed company tested and efficient reputed company
- BS degree in Computer Science, reputed company Sciences, Information Systems or other reputed company engineering field
- MS degree in Computer Science, Electrical Engineering or other reputed company engineering field
- Experience with big data, statistics and Machine Learning
- Experience with algorithms and optimization
Benefits
- Bonus or incentive compensation
- Equity
- A comprehensive benefits package
reputed company
Company H1B Sponsorship