As an ML Solutions Engineer, you will provide technical expertise, support onboarding, prototype ML workflows, and recommend integration strategies for clients.
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 an ML Solutions Engineer. In this role, you will be critical in differentiating SuperAnnotate to our 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 hands-on 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
- You will proactively identify and address technical challenges with our sales team to ensure a smooth customer onboarding process.
- 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.
- Recommend integration strategies, enterprise architectures, and application infrastructure required to implement a complete solution using best practices on SuperAnnotate successfully.
What is needed to get started
- 1+ years of customer-facing experience.
- Familiarity with Machine learning and Python.
- Experience delivering technical pitches.
- 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.
- Good communication skills and Good presentation skills.
Preferred Qualifications
- Master's degree in Computer Science, Machine Learning, Data Science, or other technically related fields.
- 1+ years of experience as a technical solutions or sales engineer in a tech environment or a customer-facing role within a Professional Services/Systems Engineering team.
- 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
- Referral Program
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.
Top Skills
Machine Learning
Python
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