Machine Learning Engineer
Actively Hiring
Full-time Posted 7 months ago
Responsibilities
- check_circle Assist in researching and evaluating machine learning approaches under guidance
- check_circle Supervised, unsupervised, and learning
- check_circle Introductory reinforcement learning concepts
- check_circle Neural networks and classical ML techniques such as decision trees and ensemble methods
- check_circle Transformer-based models and Retrieval-Augmented Generation (RAG) systems
- check_circle Implement and train machine learning models using frameworks such as PyTorch, TensorFlow, or equivalent
- check_circle Support the formulation of ML-based solutions to optimization and decision-making problems
- check_circle Pathfinding and routing
- check_circle Basic combinatorial or constraint-based optimization
- check_circle Contribute to data pipelines for ML systems
- check_circle Data validation and quality checks
- check_circle Feature engineering and preprocessing
- check_circle Applying data augmentation techniques as directed
- check_circle Train, tune, evaluate models, identifying issues such as overfitting or underperformance
- check_circle Apply evaluation metrics to assess model performance and make interactive improvements with guidance
- check_circle For transformer-based systems: Assist with managing context windows and token budgets
- check_circle Implement chunking and retrieval strategies as directed
- check_circle Integrate trained models into existing systems with support from senior engineers
- check_circle Document experiments, results, and implementation details using tools such as Git, Jira, and Confluence
- check_circle Learn and follow best practices for ML experimentation, reproducibility, and software development
- check_circle Stay curious and engaged with emerging machine learning techniques and tools
- check_circle Bachelor’s degree in Computer Science, Engineering, Applied Mathematics, or a related field
- check_circle 1-3 years of professional experience or equivalent academic/project experience in machine learning or data science
- check_circle Strong understanding of core machine learning concepts to include basic model selection, evaluation, overfitting, generalization, loss functions, and optimization fundamentals
- check_circle Hands-on experience training models using frameworks such as PyTorch or TensorFlow
- check_circle Proficiency in Python
- check_circle Experience working with real-world datasets, including cleaning and preprocessing
- check_circle Ability to learn quickly and apply feedback from senior engineers
- check_circle Strong problem-solving skills and attention to detail
- check_circle Ability to travel up to 20%
Preferred qualifications
- Internship, research, or project experience involving machine learning model training
- Exposure to deep learning architectures such as CNNs or Transformers
- Familiarity with experiment tracking or visualization tools
- Experience deploying models in academic, prototype, or production-like environments
- Interest in optimization, planning or decision-making problems
Benefits
- check_circle Hybrid and flexible work schedules
- check_circle Professional development programs
- check_circle Training and certification reimbursement e options for Me
- check_circle Extended and floating holiday schedule
- check_circle Paid time off and Paid volunteer time
- check_circle Health and Wellness Benefits includdical, Dental, and Vision insurance along with access to Wellness, Mental Health, and Employee Assistance Programs.
- check_circle 100% Company Paid Benefits that include STD, LTD, and Basic Life insurance.
- check_circle 401(k) Plan Options with employer matching Incentive bonuses for eligible clearances, performance, and employee referrals.
- check_circle A company culture that values your individual strengths, career goals, and contributions to the team
About the company
- check_circle Salary range guidance provided is not a guarantee of compensation. Offers of employment may be at a salary range that is outside of this range and will be based on qualifications, experience, and possible contractual requirements.
- check_circle **This is a direct hire position, and we do not accept resumes from third-party recruiters or agencies.
Tags & Focus Areas
Fulltime Ai Machine Learning