Job Description

Redefine the Future of AI/ML Engineering

Are you ready to make your mark in the world of machine learning and AI? We’re on the lookout for a creative, detail-oriented, and problem-solving Software Engineer I - Machine Learning to join our dynamic team. You’ll be at the forefront of implementing advanced algorithms, optimizing neural networks, and building scalable AI/ML systems that deliver real-world impact.

If you love turning data into intelligent solutions and working on systems that power AI-driven innovation, let’s build the future together!

What You'll Do:

• Algorithm Mastery: Implement automated feature extraction and dataset augmentation algorithms.
• Performance Optimization: Enhance runtimes for complex neural network algorithms and create higher-level abstractions for AI/ML techniques.
• Collaborate Across Teams: Work cross-functionally on ML operations tasks, including data management, training, and model deployment.
• Build Scalable Systems: Design systems that can handle AI-driven workloads efficiently and reliably.

What You Bring:

Must-Have Qualifications:

• Degree: Bachelor's in Computer Science from an accredited university.
• Experience: At least 6 months of professional work in one of the following:
  • ML/AI models in production
  • Neural network algorithms
  • Performance optimization of deep learning systems
• Knowledge of Algorithms: Experience or coursework in machine learning techniques (classifiers, anomaly detection, clustering).
• Technical Proficiency: Strong grasp of software engineering fundamentals; Python experience preferred.

Bonus Points for:

• Experience in scalable AI system design.
• Contributions to open-source ML projects.
• Hands-on experience with model training and real-time deployment.
• Knowledge of cloud-based AI/ML tools (e.g., TensorFlow, PyTorch, AWS SageMaker).

Why Join Us?

• Innovation Hub: Work on cutting-edge AI/ML systems with a team of talented engineers.
• Endless Learning: Grow your skills through mentorship, collaboration, and hands-on projects.
• Real Impact: Your work will directly contribute to building intelligent solutions that solve meaningful problems.
• Dynamic Culture: Join a collaborative environment that values curiosity, creativity, and innovation.