
Principal Machine Learning Engineer
Raft
full-time
Posted on:
Location Type: Remote
Location: Remote • Virginia • 🇺🇸 United States
Visit company websiteJob Level
Lead
About the role
- Support customers and join the passionate team of high-impact problem solvers
- Work cross-functionally to design, plan, implement, and guide enterprise AI/ML strategies
- Be a technical advisor who will help lead and direct the execution of advanced machine learning solutions
- Oversee all aspects of the ML lifecycle, including data collection, cleaning, pre-processing, model training, and production deployment
- Assist customers in developing new business opportunities until a suitable long-term project for growth is identified.
Requirements
- Demonstrated ability to introduce new technology into organizations to further their ability to drive value from data using AI/ML
- Deep understanding of Neural Networks, Heuristics, and Operations Analysis Algorithms
- Design, develop, and research Machine Learning systems, models, and schemes
- Study, transform, and convert data science prototypes into production-ready systems
- Search and select appropriate data sets before performing data collection and data modeling
- Perform statistical analysis and use results to improve models
- Train and retrain ML systems and models as needed
- Identify differences in data distribution that could affect model performance in real-world situations
- Visualize data for deeper insights
- Analyze use cases of ML algorithms and rank them by success probability
- Understand when findings can be applied to business decisions
- Enrich existing ML frameworks and libraries
- Verify data quality and ensure it via data cleaning.
Benefits
- Highly competitive salary
- Fully covered healthcare, dental, and vision coverage
- 401(k) and company match
- Take as you need PTO + 11 paid holidays
- Education & training benefits
- Annual budget for your tech needs
- Generous Referral Bonuses
- And More!
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningneural networksheuristicsoperations analysis algorithmsdata collectiondata cleaningdata modelingstatistical analysisdata visualizationmodel training
Soft skills
problem solvingcross-functional collaborationtechnical advisingbusiness developmentcommunication