AI/ML Engineer, Ikigai Labs
Office located in San Mateo, CA
Generative AI for tabular data
Open for applications
Generative AI for tabular data
101-200 employees
Open for applications
Office located in San Mateo, CA
101-200 employees
Company mission
Ikigai's on a mission to bring AI to everyone.
Role
Who you are
- We seek a dynamic and passionate engineer with strong software fundamentals and a keen interest in collaborative problem-solving
- Bachelor’s degree in Computer Science, Math, Engineering, or related field (Master's preferred) with 2+ years of experience
- Strong understanding of data structures, data modeling, algorithms, and software architecture
- Proficient in probability, statistics, and algorithm development
- Hands-on experience with ML and deep learning libraries (Scikit Learn, Keras, TensorFlow, PyTorch, Theano, DyLib)
- (Bonus) Experience with big data and distributed computing (Hadoop, MapReduce, Spark, Storm)
- Proficiency in Python, AWS services, and ETL/ELT pipelines
- Understanding of key software design principles, design patterns, and testing best practices
- Experience with Kubernetes and/or EKS is a plus
- Ability to learn quickly in a fast-paced, agile environment
- Excellent organizational, time management, and communication skills
- Willingness to engage in pair programming, share knowledge, and provide and receive constructive feedback
- Strong problem-solving skills and the ability to take initiative
What the job involves
- As an AI/ML Engineer at Ikigai Labs, you will be part of a high-performing team responsible for optimizing and deploying ML solutions to maximize performance and scalability
- ML Optimization and Deployment: Develop and deploy machine learning models for optimal performance and scalability
- Productivity Tools Development: Build tools and services to enhance the ML platform, utilizing technologies like Kubernetes, Helm, and EKS
- Model Architecture: Apply a strong understanding of deep learning architectures (CNNs, RNNs, etc.) to solve complex problems
- Research Adaptation: Stay abreast of recent ML and deep learning literature and adapt findings to real-world applications
- Collaborative Development: Work with cross-functional teams to integrate AI and ML solutions that drive business value
- Data Handling: Manage large datasets and build ML pipelines for data processing and training
- ETL/ELT Processes: Design and develop scalable data integration processes
- Predictive Modeling Platform: Develop an on-demand predictive modeling platform using gRPC
- Cloud and Containerization: Utilize Kubernetes for managing Docker containers and various cloud services (AWS, Azure) to solve cloud-native challenges
- Stakeholder Management: Provide occasional support to our customer success team
Our take
Business is increasingly data-driven, but the sheer amount of data companies now handle poses major challenges in organizing, analyzing, and making use of that information. Ikigai Labs aims to make data accessible, providing a no-code platform which uses AI to connect disparate data sources and organizes and optimizes the information for scenario planning, forecasting and use in enterprise applications.
Ikigai isn’t the only company using AI to make sense of data, but it stands out with its graphical modelling approach as opposed to the prevailing large language models used by competitors such as Hugging Face and Daitaku. Graphical modelling is well suited to mapping out relationships using enterprise data (which is usually tabular) and is far less expensive to operate than large language models. These advantages have led to Ikigai’s platform being used by thousands of data teams from major companies such as IBM, Honeywell, and FedEx to name just a few.
With substantial funding to its name, Ikigai is ready to further develop its product and scale its team. While it faces intense competition, its focus on enterprise data needs seems likely to help it stand out from the pack and will stand it in good stead over the coming years.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
Funding (last 2 of 3 rounds)
Aug 2023
$25m
SERIES A
Dec 2021
$13m
SEED
Total funding: $38.3m
Company values
- Earn trust: Build trustworthy and explainable AI for confident, repeatable business decisions
- AI education for all: Empower new skills and new ways of doing business in an AI-powered world
- One team, one dream: Create a culture of respect, understanding, and inclusivity
- Drive for excellence: Create with purpose and relentlessly seek feedback in pursuit of continuous improvement
Company HQ
Civic Center, San Francisco, CA
Articles
Leadership
Vinayak Ramesh
(Co-Founder & CCO)Initially the CEO of Ikigai before moving to the role of CCO in 2024. Previously co-founded and was CTO of Wellframe. Holds a Master's of Engineering from MIT.
Devavrat Sha
(Co-Founder & CEO)Initially the CTo of Ikigai before moving to the role of CEO in 2023. Previously co-founder and Chief Scientist of Celect. PhD in Computer Science and Post Doc from Stanford University.
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