Role Description
We are seeking an experienced machine learning engineer to join our seasoned founding team to drive the development and innovation of our ML platform. Ideal candidates bring extensive experience in building the next generation of machine learning models and its training and serving infrastructure for the Spector.
This role requires a hands-on tech lead who is passionate about our mission, thrives in a startup environment, and is committed to pushing the boundaries of what ML and GenAI can achieve in industrial resilience.
You will:
- Lead engineering initiatives aimed at the continuous enhancement of the ML platform, build high quality models to model drive value for users and our company.
- Hands-on contributor and overseer of ML workflow to build scalable, robust distributed infrastructure to support machine learning training, inference, and evaluation.
- Evaluate the technical tradeoffs of every decision.
- Perform code reviews and ensure exceptional code quality.
- Mentor and guide junior engineers, fostering a culture of growth, collaboration,
and innovation within the technical team.
- Iterate quickly without compromising quality.
Must Have:
- Bachelor's Degree in a relevant technical field such as computer science and 6+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 5+ year of post-grad machine learning experience; or PhD in a relevant technical field + 3 years of post-grad machine learning experience.
- Experience developing machine learning models for supervised, unsupervised, ranking, or other relevant applications of machine learning.
- Robust understanding of machine learning approaches and algorithms.
- Have a track record in deploying scaled ML systems.
- Experience working with machine learning frameworks such as TensorFlow, PyTorch, Spark ML, scikit-learn, or related frameworks.
- Strong communication skills with the ability to convey complex technical concepts to both technical and