Senior AI Scientist
Design and develop AI applications primarily in Python, run evaluations to validate models and package solutions for Kubernetes, AWS, or customer on-premises clusters. Lead discovery sessions, guide pilot projects, and ensure successful deployments, collaborating mostly remotely with occasional on-site workshops. Monitor system performance and reliability, add to logging, billing and auth services, and build internal tooling to automate repetitive tasks. Provide feedback on patterns, pain points, and reusable modules to the core product team to influence the future direction of the AI platform.
Freelance Machine Learning AI Trainer (Python)
Design original computational STEM problems simulating real scientific workflows. Create problems requiring Python programming to solve that are computationally intensive and cannot be solved manually within reasonable timeframes. Develop problems that require non-trivial reasoning chains and creative problem-solving approaches. Verify solutions using Python with standard libraries such as numpy, pandas, scipy, and sklearn. Document problem statements clearly and provide verified correct answers. Collaborate on AI projects aligned with the candidate's skills on their own schedule, contributing from creating training prompts to refining model responses.
Data Scientist - Network Value
Perform ad-hoc and strategic analyses to uncover opportunities for improved business outcomes and translate complex questions into actionable analytics projects. Design and maintain scalable data models and dashboards that increase visibility into core systems and drive operational excellence. Build and iterate on machine learning prototypes to power insight-driven products and unlock new sources of customer and business value. Define and track OKRs that quantify progress toward key business goals, ensuring alignment and accountability across teams. Design and analyze experiments to guide product decisions and optimize feature launches. Champion a data-first culture by promoting analytical rigor and evidence-based decision-making across the organization.
Group Product Manager - Noida
Own the platform portfolio including Agentic AI and define and execute the product roadmap for Agentic AI aligning with company strategy and customer needs. Partner with Engineering and Data teams to scale services powering large-scale AI workloads. Translate complex data and usage patterns into clear business insights and KPIs for customers and internal stakeholders. Coach and mentor the team and own their impact. Work closely with GTM and customer teams to drive customer value.
Product Designer, Monetization
As an Applied Research Scientist on the Agents team, you will develop state-of-the-art tools for correcting, improving, and enhancing written English using various NLP, ML, and DL technologies. You will productize and ship these features into Superhuman's product offerings, used by millions daily. You will stay up-to-date with the latest research trends that could improve the product and contribute to the research strategy and technical culture of the company. Additionally, you will help attract professionals in the industry to build a best-in-class research team creating a state-of-the-art writing and communication assistant.
Marketing Intern - Seoul
Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support. Analyse and investigate various kinds of data and machine learning applications across industries and use cases. Provide strategic input to the customer and account teams that help our customers achieve success. Scope and co-develop production-level data science projects with our customers. Mentor and help educate data scientists and other customer team members to aid in career development and growth.
Marketing Intern - Tokyo
Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support. Analyse and investigate various kinds of data and machine learning applications across industries and use cases. Provide strategic input to the customer and account teams that help our customers achieve success. Scope and co-develop production-level data science projects with our customers. Mentor and help educate data scientists and other customer team members to aid in career development and growth.
Senior Software Engineer, Pilots
As a Senior Software Engineer on the Pilots team, the responsibilities include delivering robust, thoroughly tested, and maintainable C++ code for edge and robotics platforms, designing, implementing, and owning prototype perception systems that may transition into production-grade solutions, constructing and refining real-time perception pipelines including detection, tracking, and sensor fusion, adapting and integrating ML and CV models for Hayden-specific applications, driving technical decision-making balancing prototyping speed with production readiness, collaborating with the Product team and cross-functional Engineering departments, and contributing to shared infrastructure, tooling, and architectural patterns as pilots mature into foundational products.
Computer Vision Engineer
The responsibilities include conducting research on state-of-the-art Computer Vision methodologies and participating in the creation and curation of training and validation datasets. Performing statistical analyses and developing visualization tools to ensure data quality. Building and refining training pipelines and metrics to enhance model performance. Developing and optimizing Computer Vision algorithms for multiple robotics/aerospace projects. Implementing ML/CV models into production-ready environments, ensuring seamless integration with Harmattan AI’s systems, and conducting rigorous code reviews. Testing algorithms in real-world environments, developing monitoring tools, tracking model performance, and continuously improving deployed solutions. Working closely with software and simulation teams to align development with system requirements and communicating findings effectively to stakeholders.
ML Application Engineer (French-speaking)
The ML Application Engineer will run projects with customer engineering teams, analyze and process engineering data using the company's platform and Python libraries, and develop tailored solutions and workflows. They will apply machine- and deep-learning workflows to various engineering and physics problems, deliver proofs-of-concept to demonstrate the value of the technology in CAD, CAE, and manufacturing, and train customer teams to effectively use the methods and platform to ensure smooth AI adoption. The engineer will also work closely with developers to translate customer needs and feedback into product improvements.
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