Machine Learning Engineer, super.AI

Salary not provided

AWS

Docker

Kubernetes

GCP

Python

Azure

Mid and Senior level

Remote in EU, UK

Berlin

AI platform for unstructured data processing

Open for applications

AI platform for unstructured data processing

21-100 employees

B2BArtificial IntelligenceBig dataAnalyticsMachine LearningSaaS

Open for applications

Salary not provided

AWS

Docker

Kubernetes

GCP

Python

Azure

Mid and Senior level

Remote in EU, UK

Berlin

21-100 employees

B2BArtificial IntelligenceBig dataAnalyticsMachine LearningSaaS

Company mission

To make AI accessible to all and use AI to enrich the human experience and make the world a better place.

Job

Company

Role

Who you are

Smart, humble, hardworking, and collaborative
By smart we don't necessarily mean high IQ (although a huge plus), but an affinity toward learning. We want to automate as much as possible so we can focus on the few things that require human intelligence and creativity
By humble we don't mean submissive or unambitious, we mean it in the same way Roger Federer is humble
By hardworking, we don't mean long hours (be with your family). What we mean is while you're here you're doing the best work of your life. It means being disciplined, professional, focused, gritty, resilient, and resourceful
By collaborative, we don't mean submissive or deferential, it means taking leadership from everywhere. "I'm taking responsibility to fix this system", if there's a lack of trust "I'm going to address it" if goals are unclear "I'm going to deal with it", it's about being a meritocracy
All four of the above are required. We all know people missing one of these and it's not nice to work with them (e.g. someone who is smart and hardworking but not humble and collaborative)
Paradoxical
The people we like the most are smart but humble
Wants to win no matter what, but will not cross lines of integrity to get there
Strong beliefs weakly held, etc
3-5 years of professional experience in software development
Proven ability to work backwards from customer needs to deliver AI-based features that meet those needs
Ability to organize and prioritize competing workloads
Familiarity with distributed systems and cloud services (e.g., AWS, Azure, GCP)
Solid understanding of machine learning principles
Experience with container frameworks such as Docker or Kubernetes
Proficiency in using REST APIs

What the job involves

Measure and ensure the high-quality output of AI workloads for our enterprise customers
Deploy and manage production workloads for a global customer base
Write, rewrite, and extend Python code, and deploy it to containers (e.g., Docker)
Conduct local testing using tools like Jupyter Notebook
Integrate AI cloud solutions and adapt them to our large-scale use cases
Perform prompt engineering for customer use cases
Fine-tune and deploy Large Language Models (LLMs)
Develop software that scales to meet the demands of high-load customer workloads

Our take

It's estimated that up to 90% of the world's data is unstructured, and its volume is expected to grow at a dizzying rate. To effectively manage this data, businesses need solutions to structure it efficiently. Thanks to advancements in AI, this task has become more manageable - and super.AI is one of the companies leading the way.

super.AI provides a wide range of applications across industries like financial services, retail, and logistics. What sets super.AI apart from competitors like Levity is its sophisticated AI capabilities - offering not just data labelling, but also redaction, question answering, and extraction of specific unstructured information. Positioning super.AI as a more advanced competitor, on par with platforms like Indico.

With its broad offerings and solutions that address urgent market needs, super.AI has the potential to make significant strides, even as the competition in the document automation space grows.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

-20% employee growth in 12 months

Glassdoor (4.3)

Company

Funding (last 2 of 3 rounds)

Jun 2021

$12m

EARLY VC

Nov 2018

$5.3m

SEED

Total funding: $18.3m

Company HQ

SoMa, San Francisco, CA

Leadership

Brad Cordova

(CEO)

Worked on AL and ML as a PhD student at MIT, and subsequently co-founded and served as CTO at mobile telematics platform TrueMotion before founding super.AI in 2018.

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