Ikigai Labs
Cambridge, Massachusetts
Job DescriptionJob Description Company Description The Ikigai platform unlocks the power of generative AI for tabular data. We enable business users to connect disparate data, leverage no-code AI/ML, and build enterprise-wide AI apps in just a few clicks. Ikigai is built on top of its three proprietary foundation blocks developed from years of MIT research - aiMatch, for data reconciliation, aiCast, for prediction, and aiPlan, for scenario planning and optimization. Our platform enables eXpert-in-The-Loop (XiTL) for model reinforcement learning and refinement, at scale. With a combination of enterprise expertise and deep research in the field of AI, Ikigai Labs helps scale enterprises with AI by solving data engineering and modeling problems for business users and data scientists alike. Our unique ability to unlock value in tabular and time series data through AI-powered data harmonization, forecasting, dynamic learning and planning, is our Ikigai, our purpose in the world of AI. 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. We seek a dynamic and passionate engineer with strong software fundamentals and a keen interest in collaborative problem-solving. Key Responsibilities: 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. Technologies We Use: Languages: Python3, C++, Rust, SQL Frameworks: PyTorch, TensorFlow, Docker Databases: Postgres, Elasticsearch, DynamoDB, RDS Cloud: Kubernetes, Helm, EKS, Terraform, AWS Data Engineering: Apache Arrow, Dremio, Ray Miscellaneous: Git, Jupyterhub, Apache Superset, Plotly Dash Qualifications: Bachelor's degree in Computer Science, Math, Engineering, or related field (Master's preferred) with 0-5+ years of experience (depending on the level) 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. Location Requirement: Candidates must reside in or near Cambridge, MA or San Mateo, CA. This role is not open to other locations at this time. Equal Opportunity Employment: Ikigai Labs is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants. We value diversity and are dedicated to fostering an inclusive environment for all employees, regardless of race, color, sex, gender identity or expression, age, religion, national origin, ancestry, citizenship, disability, military or veteran status, genetic information, sexual orientation, marital status, or any other characteristic protected under applicable law. If you are passionate about machine learning and eager to make an impact, we would love to hear from you. Apply today to join the Ikigai Labs team and help us build the future of AI. Powered by JazzHR PIleYeWvCd
Job DescriptionJob Description Company Description The Ikigai platform unlocks the power of generative AI for tabular data. We enable business users to connect disparate data, leverage no-code AI/ML, and build enterprise-wide AI apps in just a few clicks. Ikigai is built on top of its three proprietary foundation blocks developed from years of MIT research - aiMatch, for data reconciliation, aiCast, for prediction, and aiPlan, for scenario planning and optimization. Our platform enables eXpert-in-The-Loop (XiTL) for model reinforcement learning and refinement, at scale. With a combination of enterprise expertise and deep research in the field of AI, Ikigai Labs helps scale enterprises with AI by solving data engineering and modeling problems for business users and data scientists alike. Our unique ability to unlock value in tabular and time series data through AI-powered data harmonization, forecasting, dynamic learning and planning, is our Ikigai, our purpose in the world of AI. 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. We seek a dynamic and passionate engineer with strong software fundamentals and a keen interest in collaborative problem-solving. Key Responsibilities: 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. Technologies We Use: Languages: Python3, C++, Rust, SQL Frameworks: PyTorch, TensorFlow, Docker Databases: Postgres, Elasticsearch, DynamoDB, RDS Cloud: Kubernetes, Helm, EKS, Terraform, AWS Data Engineering: Apache Arrow, Dremio, Ray Miscellaneous: Git, Jupyterhub, Apache Superset, Plotly Dash Qualifications: Bachelor's degree in Computer Science, Math, Engineering, or related field (Master's preferred) with 0-5+ years of experience (depending on the level) 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. Location Requirement: Candidates must reside in or near Cambridge, MA or San Mateo, CA. This role is not open to other locations at this time. Equal Opportunity Employment: Ikigai Labs is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants. We value diversity and are dedicated to fostering an inclusive environment for all employees, regardless of race, color, sex, gender identity or expression, age, religion, national origin, ancestry, citizenship, disability, military or veteran status, genetic information, sexual orientation, marital status, or any other characteristic protected under applicable law. If you are passionate about machine learning and eager to make an impact, we would love to hear from you. Apply today to join the Ikigai Labs team and help us build the future of AI. Powered by JazzHR PIleYeWvCd
Ikigai Labs
Cambridge, Massachusetts
Job DescriptionJob DescriptionCompany Description The Ikigai platform unlocks the power of generative AI for tabular data. We enable business users to connect disparate data, leverage no-code AI/ML, and build enterprise grade AI apps in just a few clicks. Ikigai is built on top of its three proprietary foundation blocks developed from years of MIT research - aiMatch, for data reconciliation, aiCast, for prediction, and aiPlan, for scenario planning and optimization. Our platform enables eXpert-in-The-Loop (XiTL) for model reinforcement learning and refinement, at scale. Ikigai Labs is seeking a dynamic and passionate Senior Front End Software Engineer with strong software fundamentals to join a high-performing data platform development team. This is a unique opportunity with personal and leadership growth opportunities. You will join a small team that is responsible for the UI implementation and maintenance across a number of functional areas. This is an opportunity to contribute on a daily basis to improving our users' experiences and build unique expertise in our product. You will be joining a team of talented and passionate engineers who delight in owning the code and ensuring quality for these diverse functional areas. We require candidates to have extensive experience with React TypeScript and an expert level knack for solving complex problems within our engineering organization. ROLE: You'll brainstorm with Product Managers and Designers to conceptualize new features and solutions You'll collaborate with other teams within engineering to build new features for our growing user base You'll work with our support team triage bugs and troubleshoot production issues You'll act as a technical leader by making significant technical contributions to the planning and implementation of mid to large-scale projects from conception to completion You'll act as a subject matter expert within the organization while resolving complex technical issues or challenges You'll oversee the full systems development lifecycle - including system architecture definition, detailed design, scoping, planning, implementation, testing + documentation, and maintenance TECHNOLOGIES: Languages: TypeScript/JavaScript, HTML, CSS Frameworks: React.js, RTK Query, Redux, Playwright Misc.: Git, Figma, Lens, Postman/Insomnia, Lens QUALIFICATIONS: 5+ years of experience Bachelor's degree in Computer Science or related field Advanced knowledge of Typescript is a must Advanced knowledge of React and state management libraries Experience using/consuming REST APIs with an advanced understanding of client-server interaction Experience with AGILE/Scrum development methods Expert level problem solving & communication skills NICE TO HAVES: Proficiency in SQL/relational databases Experience with CI/CD pipelines Experience working with Kubernetes Powered by JazzHR a2hX4tc2Bt
Job DescriptionJob DescriptionCompany Description The Ikigai platform unlocks the power of generative AI for tabular data. We enable business users to connect disparate data, leverage no-code AI/ML, and build enterprise grade AI apps in just a few clicks. Ikigai is built on top of its three proprietary foundation blocks developed from years of MIT research - aiMatch, for data reconciliation, aiCast, for prediction, and aiPlan, for scenario planning and optimization. Our platform enables eXpert-in-The-Loop (XiTL) for model reinforcement learning and refinement, at scale. Ikigai Labs is seeking a dynamic and passionate Senior Front End Software Engineer with strong software fundamentals to join a high-performing data platform development team. This is a unique opportunity with personal and leadership growth opportunities. You will join a small team that is responsible for the UI implementation and maintenance across a number of functional areas. This is an opportunity to contribute on a daily basis to improving our users' experiences and build unique expertise in our product. You will be joining a team of talented and passionate engineers who delight in owning the code and ensuring quality for these diverse functional areas. We require candidates to have extensive experience with React TypeScript and an expert level knack for solving complex problems within our engineering organization. ROLE: You'll brainstorm with Product Managers and Designers to conceptualize new features and solutions You'll collaborate with other teams within engineering to build new features for our growing user base You'll work with our support team triage bugs and troubleshoot production issues You'll act as a technical leader by making significant technical contributions to the planning and implementation of mid to large-scale projects from conception to completion You'll act as a subject matter expert within the organization while resolving complex technical issues or challenges You'll oversee the full systems development lifecycle - including system architecture definition, detailed design, scoping, planning, implementation, testing + documentation, and maintenance TECHNOLOGIES: Languages: TypeScript/JavaScript, HTML, CSS Frameworks: React.js, RTK Query, Redux, Playwright Misc.: Git, Figma, Lens, Postman/Insomnia, Lens QUALIFICATIONS: 5+ years of experience Bachelor's degree in Computer Science or related field Advanced knowledge of Typescript is a must Advanced knowledge of React and state management libraries Experience using/consuming REST APIs with an advanced understanding of client-server interaction Experience with AGILE/Scrum development methods Expert level problem solving & communication skills NICE TO HAVES: Proficiency in SQL/relational databases Experience with CI/CD pipelines Experience working with Kubernetes Powered by JazzHR a2hX4tc2Bt