AI Summary
SuperAnnotate seeks a Senior ML Solutions Engineer to provide technical expertise to enterprise clients, demonstrating how their AI data infrastructure platform solves business problems. This role involves client-facing pre-sales, technical demonstrations, and driving adoption of SuperAnnotate's solutions in ML, LLM, and GenAI domains. The position is fully remote within the United States.
Key Highlights
Lead technical pre-sales efforts for enterprise clients.
Demonstrate and prototype ML workflows using SuperAnnotate's platform.
Provide in-depth ML and data expertise to support client relationships.
Recommend integration strategies and enterprise architectures.
Drive pilots with enterprise clients and define success metrics.
Collaborate with product development on new solutions.
Articulate competitive differentiation of SuperAnnotate.
Technical Skills Required
Benefits & Perks
Fully remote within the United States
Annual bonus (paid quarterly)
Job Description
About SuperAnnotate
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.
Why This Role Matters
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.
This position is fully remote within the United States.
What You'll Do
- 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
- 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.
- 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.)
Equal Opportunity
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Note: In addition to the annual base salary, employees are eligible for an annual bonus, paid out quarterly.