What are the responsibilities and job description for the Senior/Lead Machine Learning Engineer position at Venturi?
Senior/Lead ML Engineer - OCR, PyTorch
A Senior/Lead ML Engineer is required to join an industry-leading Series-A startup in New York who are at the cutting-edge of Computer Vision and OCR technology.
The company have over 8 years experience on the market, specializing in Image to Text conversions of everything from handwritten or printed text, PDF documents, and tables, into readable code via their accurate OCR platform. They're specialized in the STEM fields, and have already secured some huge tech clients such as Facebook Research, Chegg, and Anthropic.
Tasks:
- Building, deploying, and fine-tuning end-to-end Computer Vision models with a focus on OCR.
- Understanding key business requirements to create product roadmaps and timelines.
- Collaborating with junior engineers to upskill and support their development.
Benefits:
- On top of the competitive salary, you can also expect: Private Equity in the company, a structured 401k plan, and health insurance (health, life, dental, and vision).
- Lots of upward mobility, including the opportunity to mentor junior colleagues and progress into a leadership role.
- Constant training and development opportunities to develop your skills.
- Hybrid-working (2 days on-site, 3 days remote).
- The opportunity to work with a successful and profitable Series-A startup, where you can take ownership over core products and shape the future of the company.
Your Profile:
- Strong experience with end-to-end Computer Vision / Seq2Seq models.
- Experience with PyTorch.
- Cloud experience in either AWS, GCP, or Azure - The company are cloud-agnostic, however primarily use AWS internally.
- Whilst this is a production-focused role, any research experience would also be beneficial.
- Any experience in the startup space would also be beneficial.
If you're interested in learning more about this role, please apply via the link or reach out to me on LinkedIn.
Salary : $200,000 - $250,000