Senior AI/ML Engineer, MOSTLY AI
Generative AI leveraging Synthetic data platform
Job no longer available
Generative AI leveraging Synthetic data platform
21-100 employees
Job no longer available
21-100 employees
Company mission
To enable organizations to thrive ethically and responsibly with smart and safe synthetic data.
Role
Who you are
- 5+ years of experience in AI engineering in a product development environment
- Senior level expertise in designing, implementing and optimizing Generative AI models using JAX, Pytorch, or Tensorflow at scale
- Solid experience with handling and analyzing structured data with pandas, numpy, scipy, etc.
- Previous experience with Large Language Models, Reinforcement Learning, Distributed Training, or privacy-preserving AI training considered a plus
- Strong analytical mindset, quality and efficiency obsession
- Highly energetic personality with a 'can do/ getting things done' attitude
- Excellent interpersonal, communication, and collaborative skills
What the job involves
- Spearhead the development of the core Generative AI components of our Synthetic Data Platform
- Collaborate with our research team to advance and refine our model architectures, introducing novel concepts to enhance our product
- Uphold development standards through peer code reviews and contribute to continual process improvements
- Team up with QA and DevOps to streamline testing, deployment, and packaging
- Actively engage in Agile practices, promoting a collaborative and efficient work environment
- Aid the customer success team by promptly troubleshooting and resolving technical issues
- Stay ahead of the curve by researching emerging trends in Generative AI and other relevant technologies, and integrating them into our product
Our take
Synthetic data is information that is artificially manufactured and not actually created by real-world activities and events. That’s important because developing AI and ML (machine learning) projects require immense amounts of data. However, real-world data can be expensive and difficult to collect.
MOSTLY AI uses artificial intelligence to achieve a high degree of fidelity to its clients’ databases. Its data sets look just as real as a company’s original customer data with just as many details, but without the original personal data points. Unlike some of its competitors, MOSTLY AI hasn’t put its focus on healthcare, instead winning clients amongst Fortune 100 companies and major Telcos.
The startup is focused on international hires and geographic expansion, especially in the U.S. To do so, it is expanding its team there significantly and leveraging the connections of its latest investor - the venture arm of American Bank, CitiGroup.
While a nascent space, synthetic data has recently attracted the attention of investors and as a result MOSTLY is competing with some impressive players like Datagen and Gretel.ai. However its chief concern will be the entrance of the big tech firms like NVIDIA. MOSTLY’s expert team, with good product-market fit, will still be confident that they have the tools to win this market.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 3 rounds)
Jan 2022
$25m
SERIES B
Mar 2020
$5.2m
SERIES A
Total funding: $31.4m
Company benefits
- Global work and impact
- Full benefits covered (pension, social and health secruity)
- Remote work
- Paid lunch for all employee
- Personal and professional development
- Budget for initial set up of home office
Leadership
Michael Platzer
(CSO & Co-Founder)Michael co-founded MOSTLY AI in 2017 and led the company as CEO until 2020. Data scientist who held leading positions at Microsoft and Nokia. Awarded with the Global Marketing Research Award by the American Marketing Association. Holds a PhD degree from the Vienna University of Economics and Business and a Master degree from the Vienna University of Technology.
Roland Boubela
(Co-Founder)Previously a Data Scientist at Hutchison Drei Austria GmbH and Researcher at Medical University of Vienna.
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