Summary: As a ML Research Engineer, you will be contributing towards building the next generation of AI models. You will play a role in performing a qualitative analysis of data and will also be responsible for developing. Python scripts to parse and download large datasets from the web in an efficient manner. In addition, you will also write SQL queries to further process the data. This role requires strong communication skills and the ability to work independently and in a team environment.
Responsibilities:
Develop Python scripts to parse and download large datasets from the web in an efficient manner
Write SQL queries to further process the data
Write high-quality, efficient, and maintainable code
Participate in code reviews and contribute to the development of best practices
Troubleshoot and debug software applications
Ensure software applications meet quality and performance standards
Provide timely solutions to technical issues
Document software applications and ensure documentation is up-to-date
Communicate effectively with stakeholders and team members
Requirements:
Bachelor’s degree in computer science or related field
2+ years of experience as a software engineer
Strong proficiency in Python programming language
Proficient in working with Linux systems and writing shell scripts
Proficient in writing SQL queries
Excellent problem-solving skills and attention to detail
Strong communication and collaboration skills
Ability to work independently and in a team environment
Experience working on large-scale software development projects
6+ years of experience (or equivalent) in research engineering, ML engineering, or systems/software engineering with ML implementation work.
Coding background in Python, PyTorch and SQL
Publications of their work and experience giving presentations at top conferences showcasing their research
Soft Skills - Looking for someone that has a high attention to detail, a good personality, team player, and problem solver attitude. No ego's
Nice to Have Skills:
Master’s degree in computer science or related field
Experience with web scraping and parsing large datasets
Experience with cloud computing platforms (e.g., AWS, Azure, GCP)
Knowledge of DevOps practices and tools
Familiarity with data analytics and machine learning concepts
Bachelor's degree in computer science, software engineering or relevant field required.
Research Experience
CUDA / Infra / Memory Debugging
Backend / Frontend
Must-Have Skills:
ML Experience - at least 2+ years
Large Scale Data Processing Experience - at least 2+ years
Leading XFN Projects - at least 2+ years
Experience:
2-10 Years of experience
Pay Transparency: The typical base pay for this role across the U.S. is: $95.00 - $95.99 /hour. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law.
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