Whisk

Android Engineer

• You will work with the mobile team of 4 skilled Android engineers, developing our Samsung Food Android application.
• You will build new features and maintain the current codebase.
• You will raise ideas and suggest improvements to the application.
• You will make sure that systems are built to high-quality standards.

Senior Mobile Engineer – Android

User Researcher

• Conduct research that directly informs major initiatives and contributes to company-level priorities.
• Identify and pursue opportunities for longitudinal, generative, and holistic research that broaden our understanding of people and health.
• Partner closely with Product, Design, Engineering, and Data teams to ensure insights shape both strategy and execution.
• Confidently design studies that combine qualitative and quantitative methods to answer complex questions.
• Build a sharper picture of our target audiences, user segments, and evolving behaviors in nutrition, wellness, and health.
• Deliver compelling narratives that resonate with senior stakeholders and drive evidence-based decision-making.
• Mentor peers, advocate for best practices, and strengthen the research culture across the team.
• Design for a distributed, international user base with sensitivity to cultural and contextual differences.

Senior UX Researcher

Product Manager

• Own the end-to-end product lifecycle for Food Intelligence features
• Translate user research and design insights into product decisions
• Partner closely with ML, data ontology, backend, and design teams
• Lead roadmap, backlog, and delivery for the Food Intelligence stream
• Act as the primary point of contact for Samsung Health counterparts
• Balance speed and quality in a complex partner organization.

Senior Product Manager – Food Intelligence

• Lead, coach, and develop a team of product managers
• Define and evolve the service and platform roadmaps
• Contribute to overall product direction across other streams of work, ensuring clarity of goals, priorities, and success metrics across PM-led initiatives
• Translate behavioral science and nutrition research into product requirements that are modular, measurable, and globally scalable
• Collaborate with engineering leadership to structure logic systems such as user states, progression models, and personalization frameworks
• Drive alignment with Samsung Health and SmartThings collaborators on integration, data flow, and long-term experience design
• Maintain high-quality execution by ensuring decisions balance impact, effort, and maintainability
• Partner with leadership to establish KPIs for engagement, activation, and retention, and use data to inform product iteration
• Foster a culture of ownership, clarity, and structured communication within the product team.

Manager, Product Management – Food Service

Engineering Manager

• Lead Whisk's strategic technical domain focused on food data technology
• Manage high-impact ML innovation
• Build foundational backend systems
• Define and evolve technical strategy in collaboration with leadership
• Encourage innovation across data ontology and ML models
• Lead a multidisciplinary team and provide clear direction
• Collaborate with stakeholders to prioritize needs
• Ensure delivery of robust APIs and services

Senior Engineering Manager

Backend Engineer

• Develop and maintain product features aligned with user needs and company goals, ensuring high code quality and consistency by adhering to coding standards and style guides.
• Reduce technical debt and enhance system functionality, actively monitoring metrics and addressing alerts or test failures.
• Drive design documentation and participate in architecture discussions with some guidance from the Engineering Manager, including writing and reviewing design documents.
• Support team members by sharing knowledge, offering solutions, and providing constructive feedback in reviews.
• Adhere to and proactively suggest improvements for team and company processes, ensuring consistency and efficiency, and challenging existing practices when beneficial.
• Collaborate with cross-functional teams, providing insights on product requirements and system improvements.
• Manage time effectively, meeting task estimates and communicating any risks to deadlines or deliverables in advance.
• Regularly consult and contribute to the team knowledge base and documentation, ensuring information is current and accessible.

Scala Developer, Mid-Level

Product Designer

• Collaborate closely with multidisciplinary design, product management and engineering teams to frame user needs and behaviour, define optimized user flows, and tweak pixels before launch.
• Shape and communicate the user experience vision for all surfaces across initiatives, from health, care, food and nutrition to connected home.
• Drive customer focus by initiating and facilitating user research.
• Leverage an agile, iterative design approach in a fast-paced environment, adapting quickly to pivots, shifting priorities, and evolving timelines while maintaining a long-term strategic lens.
• Support the team by being an active mentor for others, sharing insights, and best practices.
• Facilitate and participate in design reviews, collaborate in roadmap planning, and support design needs across workstreams.

Staff Product Designer

• Collaborate closely with multidisciplinary design, product management, and engineering teams.
• Shape and communicate the user experience vision for projects.
• Work on initiatives from start to finish, participating in design sprints, content mapping, sketching, wireframing, and prototyping.
• Leverage insights from user behavior, market trends, and competitive landscapes.
• Drive customer focus by collaborating on user research.
• Stay close to insights and data to understand the impact of the team’s work.

Senior Product Designer

Machine Learning Engineer

• Develop and deploy deep learning-based computer vision solutions that enhance user experiences across Samsung Food products
• Work on cutting-edge computer vision applications, including image recognition, detection, segmentation, and generative modeling
• Conduct R&D using our multimodal data (recipe images, videos, user-generated content)
• Stay up to date with the latest developments in CV and DL research and apply them to production use cases
• Develop scalable, efficient inference pipelines for real-world applications across mobile and server environments
• Collaborate closely with ML engineers and data engineers to improve model serving infrastructure and ML pipelines
• Support continuous integration and monitoring of ML models in production environments
• Collaborate on NLP-related tasks where applicable, particularly in multimodal or content-driven applications