The Company
SuperAnnotate is a fast-growing, Series B startup revolutionizing the field of AI-data Infrastructure. We specialize in providing cutting-edge data pipeline solutions for Machine Learning, LLM, and GenAI solutions to large enterprise clients, helping them leverage the power of AI to transform their businesses. SuperAnnotate has a fully customizable platform for building annotation tools and workflows that AI projects demand—while unifying the management of all teams, vendors, and data in one place. We’re very proud to have products that are loved by our customers, resulting in us being listed as the highest-ranked platform on G2.
Role
We seek an outgoing individual passionate about Machine Learning to join our team as a Senior ML Solutions Engineer. In this role, you will be critical in differentiating SuperAnnotate to our enterprise clients by providing in-depth technical expertise and helping them understand how SuperAnnotate can solve their business problems. You are suitable for this role if you love to learn new things and want to stay updated with the most recent trends in AI.
As a Senior ML Solutions Engineer, you will work with clients worldwide to demonstrate and prototype SuperAnnotate's product integrations in domains like large language models, computer vision, natural language processing, and industries like e-commerce, sustainability, and healthcare.
The position is offered with partial remote working as a possibility, allowing flexibility in work location.
Your Day
- Working with account executives, lead technical pre-sales efforts to identify customer pain points and demonstrate how SuperAnnotate solutions can achieve desired outcomes
- Recommend integration strategies, enterprise architectures, and application infrastructure required to implement a complete solution using best practices on SuperAnnotate successfully
- Drive pilots with enterprise clients, defining success metrics, and proving technical approval on SuperAnnotate integration and adoption across large organizations
- Provide in-depth machine learning and data expertise to support the technical relationship with SuperAnnotate’s clients, including product and solution briefings and proof-of-concept work
- Prioritize and ideate new solutions with product development impacting client adoption of SuperAnnotate
- Demonstrate and prototype ML workflows using SuperAnnotate with clients worldwide
- Articulate competitive differentiation to highlight SuperAnnotate strengths
- Build technical credibility and trust with key customer relationships to help SuperAnnotate win business
What Is Needed To Get Started
- 5+ years of customer-facing experience
- Experience in a solution or sales engineering environment
- Strong background in Machine learning and Python
- Experience driving highly technical pilots/POCs with enterprise customers
- Great presentation skills
- Bachelor's degree in Computer Science, Mathematics, Machine Learning, Data Science, or equivalent experience
- Ability to quickly learn, understand, and work with new emerging technologies, methodologies, and solutions in the Artificial Intelligence technology space
- Outstanding English writing and verbal skills
- Great communication skills
Preferred Qualifications
- Master's degree in Computer Science, Machine Learning, Data Science, or other technically related fields
- Experience building Machine learning solutions (e.g., data pipelines, AI systems, LLMs, MLOps, etc.)
Only shortlisted candidates will be contacted for an interview!
What you'll have with us
- Attractive base salary with significant stock options offering an ownership stake in the company’s success
- Comprehensive health, dental, and vision insurance plans
- 401(k) retirement plan
- Flexible paid time off, holidays, and parental leave policies
- Opportunity to shape the future of a cutting-edge technology company
- Access to ongoing training and professional development opportunities
EqualOpportunity
We are an equal-opportunity employer and value diversity at our company. At SuperAnnotate diversity means to us making an effort to reflect the many experiences and identities of the outside world, and treating each other with fairness and without bias. Every day we foster an environment where people of all backgrounds not only belong, but excel to succeed as a company and grow together. We offer equal opportunity regardless of sex, sexual orientation, national origin, color, race, age, marital status, disability, gender identity, veterans and more.
