Machine Learning Solutions Engineer, Super Annotate
$88-140k
+ Stock options
Annotation platform for training AI
Open for applications
Annotation platform for training AI
101-200 employees
Open for applications
$88-140k
+ Stock options
101-200 employees
Company mission
To accelerate the pace of AI innovation to create a smarter, safer, and more sustainable world.
Role
Who you are
- 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
Desirable
- 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.)
What the job involves
- 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
- 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
Application process
- Only shortlisted candidates will be contacted for an interview!
Our take
Data annotation – labelling data so that machines can understand it – is a vital process in supervised machine learning. However, the intelligent annotation of data can be a time-consuming activity, and is complicated for data in image or video format. SuperAnnotate supplies a platform to annotate, version, and manage ground truth data for AI quickly and effectively, accelerating AI pipelines and the machine learning process.
SuperAnnotate, founded in 2018, boasts the fastest annotation toolset for training AI. As well as working with text data, the platform annotates images and videos at speed through the company’s computer vision technology. It offers multi-level, comprehensive quality management to ensure their clients build the best and most true training data, and the process can be employed at scale with impressive affordability for a product in this market.
SuperAnnotate serves big-name organizations including LG and IBM. The company has received substantial funding that will go towards marketing and expansion of its customer base, as well as improving its product and building up its team.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Company benefits
- Health insurance and wellness
- Stock options
- Professional and personal development
- Peer appreciation programs
- Team Events
- Referral program
Company HQ
Western Hills, San Mateo, CA
Leadership
Tigran Petrosyan
(CEO)Physicist turned entrepreneur. TEDx speaker.
Vahan Petrosyan
(CTO)Earned a PhD in Machine Learning.
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