Software Engineer 1 - Machine Learning
San Francisco , CA (On-Site)
100000 - 400000
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.
Key Skills:
- Software Engineer 1 - Machine Learning