Senior Machine Learning Engineer & Scientist | $150K-$200K + Hybrid + Equity | Exciting SaaS Business Intelligence Company
Senior Machine Learning Engineer & Scientist | $150K-$200K + Hybrid + Equity | Exciting SaaS Business Intelligence Company
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1 Vacancy
Job Description
Our client is looking for a Senior Machine Learning Engineer / Scientist to expand their capacity to build and scale advanced ML models that drive real-time intelligence and operational decision-making. Youll be part of a small senior team with high visibility and ownership. This is a hands-on role where youll move fast solve complex problems and help push the boundaries of what ML can do in a mission-critical SaaS product.
Key Responsibilities
- Build update improve and maintain a suite of ML models used by enterprise clients.
- Research design and prototype ML models that drive insights across customer data.
- Develop new strategies to use ML to further business goals.
- Collaborate with product and backend teams to ship ML-driven features directly into the SaaS platform.
- Design and develop ML models to extract classify and rank metadata signals from large-scale datasets.
- Own the full ML lifecycle: from prototyping training evaluation deployment monitoring.
- Collaborate closely with the existing ML engineer to increase development velocity.
- Explore and implement new ways to apply ML science to real-world business goals.
- Stay current on ML trends and evaluate how to apply them for strategic advantage.
- Contribute meaningfully to the teams technical vision and infrastructure.
Qualifications :
- 6-9 years of machine learning experience applied data science research or similar.
- Proven experience creating and deploying ML systems at scale.
- Proven experience with the full ML research and development lifecycle.
- Strong understanding of ML theory and applications.
- A strong academic background in machine learning computer science or a related field (MS or PhD preferred but not required) or equivalent hands-on industry experience.
- Strong ability to deliver solve and iterate in a fast-paced startup environment.
- Experience in data-heavy domains such as banking data intelligence insurance anti-fraud or security is preferred.
- Python preferred but not a dealbreaker for exceptional ML talent.
- Big bonus: Youve published papers or contributed to the ML community through talks or writing.
Join a company where your work doesnt just power softwareit powers critical infrastructure that supports millions of lives. If youre ready to own meaningful problems learn fast and contribute to a high-impact team we want to hear from you.
Additional Information :
About SaaS Talent
SaaS Talent is more than just a recruiting company. Were your hiring business development and growth partner with 20 years of experience in SaaS and Hi-Tech that helps you scale and transform your business. Weve worked with 100 companies and helped them achieve their goals. From streamlining sales marketing and operations to hiring ideal talent and getting funding if youre struggling to grow were an ideal choice.
Reach out to us at to learn more about how we can help you.
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No
Employment Type :
Full-time
Employment Type
Full-time
