This is a remote position.
We are seeking a Lead Machine Learning Engineer (Tensorflow and PyTorch) to join our team of ML engineers and data scientists helping to scale our product to millions of users and working on some complex technical problems. Youll be tackling a range of challenges that will require analytical thinking and keen instincts as well as an understanding of our domain and how our users behave. Youll work with a cross-functional team including product managers designers and front-end engineers to deliver our cutting-edge photo logging product.
Responsibilites:
- Build and scale our photo logging AI product a core feature for members.
- Work alongside data scientists software engineers and domain experts to collect requirements and establish project goals.
- Evaluate model performance conduct A/B testing and iteratively improve model accuracy and efficiency.
- Work with our platform team and collaborate on hosting availability and scale challenges.
- Stay current with the most recent developments in machine learning research methodologies and technologies integrating them seamlessly into our workflow.
- Solve complex backend problems while collaborating closely with product managers and UX designers to provide a best-in-class customer experience.
- Write code across our micro-services and data pipelines.
- Ship in production preferably daily or more.
Requirements
- 7 years of experience in backend software engineering.
- 5 years of experience working on a deployed ML or AI product.
- A strong background in ML Computer Science Mathematics or Statistics either through a degree or equivalent experience.
- Experience working on a large scale backend system dealing with scaling challenges high availability or supporting a large numbers of users.
- Passionate about LLMsprompting techniques and evaluation strategies.
- Experience in programming languages such as Python or Java.
- Understanding of cloud platforms (Google Cloud AWS Vertex AI Sagemaker).
Benefits
- Work Location: Remote
- 5 days working
7+ years of experience in backend software engineering. 5 years of experience working on a deployed ML or AI product. A strong background in ML, Computer Science, Mathematics, or Statistics either through a degree or equivalent experience. Experience working on a large scale backend system, dealing with scaling challenges, high availability, or supporting a large numbers of users. Passionate about LLMs,prompting techniques and evaluation strategies. Experience in programming languages such as Python or Java. Understanding of cloud platforms (Google Cloud, AWS, Vertex AI, Sagemaker).