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The Staff Machine Learning Engineer is a senior technical leader responsible for designing, developing, and deploying production-grade AI systems for our company medical imaging products. This role focuses on vision-language models, diffusion models, and multimodal learning, working closely with data scientists, software engineers, product leaders, and clinical experts to turn advanced AI methods into robust product capabilities.
Key Responsibilities
Design, implement, and productionize AI models for clinical applications, including vision and diffusion models.
Own end-to-end model lifecycle: data ingestion, training, evaluation, deployment, monitoring, and iteration.
Work with large-scale medical datasets, ensuring data quality, preprocessing, and efficient pipeline management.
Drive technical decisions and tradeoffs with a focus on scalability, maintainability, and real-world constraints.
Collaborate with clinical AI scientists to translate research innovations into production-ready solutions.
Stay current with advancements in vision-language modeling, GenAI, and related AI technologies.

We're a fast-moving, highly collaborative team operating at a transformational moment, and we're charged with shaping how people discover, explore, and buy home furnishings. Our expertise spans data science, performance marketing, product, and creative, and our work reaches millions of customers every day. It's a rare combination: the energy of a tech company, the stability of an industry leader, and the opportunity to build something truly significant. If you're energized by transformation, collaboration, and meaningful impact at scale, our company is where ambition meets opportunity.
Were looking for a Product Designer who combines strong UX/UI craft with product thinking and a deep understanding of consumer behavior. Youll think beyond how an experience looks, considering how customers interact with it, what drives their decisions, and how design can create meaningful impact for both the customer and the business.

As part of our Product team, youll shape the end-to-end customer experience across our global e-commerce brands, owning design from early exploration through execution, testing, and iteration. Youll partner closely with Product, Design, Engineering, Data, and Marketing, using customer insights, experimentation, and AI-enabled workflows to move quickly, learn, and continuously improve experiences used by millions of customers.

What Youll Be Doing:

Own the end-to-end design process for customer-facing e-commerce experiences, from early exploration through execution and iteration
Design intuitive, high-converting experiences that balance customer needs, usability, and business impact
Partner with Product, Data, Marketing, and Engineering to turn customer insights and business goals into effective product experiences
Move quickly from idea to execution, using rapid prototyping and managing multiple initiatives in parallel
Use, maintain and evolve our multi-brand design system, balancing consistency and scalability with evolving product and brand needs
Collaborate closely with our global Design team, exchanging ideas and feedback to align on design direction and delivery
Partner closely with Engineering to ensure designs are scalable, feasible, and implemented with high quality
Leverage AI tools to accelerate exploration, prototyping, and iteration while applying strong product and UX judgment
Clearly articulate and advocate for design decisions with cross-functional teams and global stakeholders, grounding recommendations in customer, data, and business insights
Stay ahead of emerging trends and tools across consumer product design, e-commerce, and AI, bringing relevant ideas into our products and ways of working

We're a fast-moving, highly collaborative team operating at a transformational moment, and we're charged with shaping how people discover, explore, and buy home furnishings. Our expertise spans data science, performance marketing, product, and creative, and our work reaches millions of customers every day. It's a rare combination: the energy of a tech company, the stability of an industry leader, and the opportunity to build something truly significant. If you're energized by transformation, collaboration, and meaningful impact at scale, our company is where ambition meets opportunity.
We are looking for a Full-Stack Engineer who brings strong ownership, clear communication, and a practical, can-do mindset. You will join the Commerce squad and build high-impact capabilities across our core commerce and internal platforms, including Admin experiences that power pricing, promotions, product data, and order lifecycle flows, as well as Operations and Customer Support. You will operate in a fast-paced environment with high standards, partnering closely with Product, Design, DevOps, and cross-functional stakeholders to deliver meaningful business outcomes. This is an opportunity to influence technical decisions, own features end-to-end, and build scalable systems that support critical commerce experiences used across the business.

Roles and Responsibilities:
Design and implement scalable microservices with strong API contracts and maintainable architecture, in a backend-oriented Full-Stack role (60-70% backend development)
Own features end-to-end: clarify requirements, propose technical designs, break down delivery, coordinate dependencies, ship, monitor, and iterate based on real usage and business impact
Contribute to event-driven commerce architecture: publish and consume events, design resilient workflows, handle retries and idempotency, and ensure data consistency across services
Work within a Scala-based monolith, adapting quickly to unfamiliar technologies and applying pragmatic refactoring practices
Work with MongoDB and other data stores as needed, designing schemas and access patterns that support scale, performance, and long-term maintainability
Work with AWS cloud infrastructure and production systems, including observability, deployments, and operational readiness

Were looking for a Marketing Designer with strong brand instincts, a creative mindset, and hands-on AI building skills to shape how shows up in the world. Youll turn complex ideas into compelling visuals, build a distinctive brand, and bring concepts to life across our website, campaigns, content, and customer experiences.
This is a role for someone who brings original ideas, challenges the obvious, and takes work from first concept to polished execution.
What You'll Do:
Build and evolve brand. Develop our visual language and create a consistent, recognizable identity across every touchpoint.
Own marketing design from concept to launch. Create assets for campaigns, social media, emails, presentations, events, partnerships, and product launches.
Design and build digital experiences. Bring landing pages, website sections, and interactive concepts to life using AI tools and modern design workflows.
Make complex ideas easy to understand. Translate our product, technology, and value into clear visual stories.
Bring fresh creative thinking. Develop concepts that help stand out in the B2B SaaS space.
Work closely with marketing, product, and leadership. Connect business goals with thoughtful design and strong execution
Build systems that scale. Create templates, reusable assets, and guidelines that maintain quality as we grow.
Create video and motion content. Own video creation from concept and storyboarding through editing and final delivery, using motion design, animation, and AI tools to bring brand, product, and campaigns to life.
Build . Use our platform to create and launch landing experiences for own marketing initiatives and for customers and partners.

What am I going to do?
Spearhead the restart of postponed financial projects by translating complex business needs into actionable technical implementation plans.
Configure and customize NetSuite and other financial applications to automate and enhance key workflows, including billing, revenue recognition, and procurement.
Proactively troubleshoot and resolve intricate technical issues within our finance module stack, ensuring operational stability.
Develop and maintain comprehensive documentation and best practices for new financial processes, ensuring scalability and ease of support.
Lead cross-functional initiatives focused on our financial business applications, taking hands-on ownership of Workato integrations.
Collaborate closely with the Finance team to identify opportunities for process automation and application enhancements, acting as a trusted technical advisor.

What am I going to do?
Drive the team's project roadmap, owning the schedule and ensuring on-time delivery while proactively managing dependencies.
Act as the primary point person for production health, overseeing reliable deployments and leading swift incident response.
Provide hands-on technical mentorship and guidance to engineers, championing best practices in security and architectural design.
Cultivate strong partnerships with team leaders from the group to facilitate seamless cross-functional integration and align on shared objectives.
Optimize day-to-day operational rituals, including stand-ups, sprint planning, and task allocation, to maintain team velocity and efficiency.

What am I going to do?
Independently deploy and maintain robust cloud infrastructure across AWS, GCP, and CloudFlare, leveraging Kubernetes, Terragrunt, and Ansible.
Contribute to an on-call rotation, ensuring the stability of critical production services including Kafka, RabbitMQ, and various databases, with a focus on proactive incident resolution.
Lead small to mid-sized projects from conception through completion, utilizing your expertise in CI/CD pipelines (Jenkins, ArgoCD, Argo Workflows) and scripting languages like Python, NodeJS, Go, or Kotlin.
Partner closely with security and development teams to embed security best practices throughout the entire software development lifecycle.
Proactively evaluate and implement new tools and technologies to enhance engineering efficiency, security posture, and operational excellence.
Manage sensitive information securely using tools like HashiCorp Vault and ensure secure configurations for services like Kong & Nginx.

We are a fast-growing start-up company, located in Tel Aviv, with a very strong founding team (Ex-8200, Google, etc.). We are looking for candidates who are passionate about bringing a new feature from ideation to the customers hands, while solving complex challenges and building scalable infrastructure.

What Youll Do
End-to-end development of backend software components (research, design, development, testing, rollout, monitoring).
Contributing to technological and architectural decisions, as part of the core engineering team.
Analyzing and improving efficiency, scalability, and stability of various backend system components.
Working on hard problems like static code analysis with low latency, graph algorithms, complex infrastructure, among others.

What am I going to do?
Provide consistent guidance, mentorship, and leadership to the team, fostering a high-output environment.
Manage the end-to-end design pipeline, driving operational excellence and effective cross-functional collaboration within the Product department.
Oversee strategic alignment of all active design initiatives, ensuring they meet defined business goals and rigorous quality standards.
Champion and nurture the team's creative output, ensuring all major design projects meet established OKRs and contribute to business objectives.
Collaborate closely with cross-functional stakeholders to champion design excellence and ensure cohesive product development.

What am I going to do?
Own complex Trust & Safety operational initiatives from definition through execution, rollout and measurement.
Lead operational aspects of new moderation technologies, external vendor integrations and tooling improvements, including solutions such as automated and AI-assisted moderation.
Act as the operational owner for integrations: define requirements, identify dependencies, coordinate Product, Engineering, Data, Policy, Legal and vendor stakeholders, manage timelines and drive decisions to closure.
Translate T&S problems and policy requirements into scalable operational workflows, enforcement logic, rules, tooling requirements and implementation plans.
Continuously identify operational gaps, inefficiencies and emerging abuse trends and proactively propose solutions rather than waiting for predefined projects.
Build and improve moderation workflows across automation and human review, balancing accuracy, operational efficiency, user impact and business needs.
Own relationships with relevant moderation and T&S vendors, including implementation, performance management, escalation and ongoing optimization.
Drive cross-functional projects involving Policy, Product, Engineering, Data Science, Legal, Customer Care, QA and Training.
Support incident and escalation management when operational or platform-integrity risks require rapid cross-functional response.
Help shape the longer-term operating model and capabilities of the Trust & Safety function.

We're selective about who joins us. Our lean engineering team is made up of people who've built and delivered at a high level before, and we're looking for one more exceptional Full Stack Engineer to raise the bar again. You'll work directly with the founding team, own projects end-to-end, and shape the technical direction of a product already proving itself at scale.
What You'll Do:
Own features end-to-end, from product and technical design through implementation, testing, and deployment
Build and refine AI-powered features, pushing on quality, performance, and cost
Build across both our merchant-facing dashboard and customer-facing storefronts
Solve real performance and scalability challenges as usage grows
Design and evolve our APIs, services, and data models
Work with event and usage data at scale across our product and analytics system
Help define our architecture and engineering practices as we grow

What am I going to do?
Build and evolve our production LLM pipelines, turning unstructured text into structured data that the product consumes.
Design and operate large scale batch and near real time data processing, including correctness, freshness and cost.
Build the retrieval and serving layers that make our data usable in real time.
Decide what runs on which LLM model, and prove the choice with numbers rather than intuition.
Keep cost and latency predictable as volume grows: throughput, failure handling and monitoring.
Build agentic workflows that makes the whole team faster, and help set the standards others work to.

What am I going to do?
Full Ownership: Drive infrastructure initiatives through their entire lifecycle, taking accountability from initial design to delivery and long-term operations.
Kubernetes Orchestration: Architect, implement, and maintain production-grade Kubernetes clusters, ensuring they remain scalable and resilient under high-scale demand.
Cloud Architecture: Design and manage robust AWS environments, including VPC, IAM, and EKS, to support a highly available platform architecture.
Infrastructure as Code: Utilize Terraform to build and evolve our environment, applying configuration management principles to all IaC workflows.
CI/CD Excellence: Support and improve our deployment pipelines using Jenkins and GitHub Actions to maintain a fast development velocity.
Observability: Implement comprehensive monitoring solutions with Prometheus and Grafana to ensure deep visibility into platform health.
Operational Resilience: Join the DevOps on-call rotation, taking responsibility for mitigating production issues and maintaining site reliability.
Tooling & Innovation: Continuously evaluate and adopt tools - security and otherwise - that raise the bar on engineering efficiency and security posture at our company.

This is a Senior AI Software Engineer role within our companys AI Engineering group, focused on building and scaling the infrastructure behind advanced AI solutions in computer vision and NLP for medical imaging. The role combines hands-on software development, technical leadership, and close collaboration with cross-functional teams to transform AI innovation into scalable, high-impact products.
Responsibilities
Design, develop and lead SW development of infrastructure for innovative AI algorithms for computer vision and NLP in the context of medical imaging.
Collaborate with cross-functional teams, including researchers and product managers, to drive the development of new AI products and features.
Work in a unique professional culture applying the full range of software engineering capabilities in the core parts of the A.I. systems
Develop and maintain high-quality, scalable, and efficient code.
Take initiative in exploring and adopting of new technological advances in all relevant domains (for example, scalable cloud based systems, DL and CV SW frameworks, Large scale ML systems).

This is a leadership role within our companys core AI group, focused on building and evolving the AI-facing software systems that enable our algorithms to move from research into robust, production-ready components.
The AI Software team is responsible for developing the software layers, tooling, and core systems that support the development, execution, and operational readiness of AI models throughout their lifecycle. As a Team Lead, you will shape the teams technical direction, guide execution, and remain deeply hands-on, contributing to architecture, implementation, and key technical decisions.
You will lead a scrum team, work closely with AI researchers and algorithm engineers, and collaborate with product and engineering partners. The role combines strong software engineering with AI context, in a culture where software quality is a core enabler of AI excellence, and technical leadership is grounded in ownership, clarity, and impact.
Responsibilities
Lead the teams work on core software systems that sit at the intersection of algorithms and engineering, owning their design and implementation as part of the overall solution.
Guide and support team members growth, providing technical leadership, mentoring, and day-to-day coaching while fostering ownership and accountability.
Stay deeply hands-on in design and implementation, contributing code and solving complex software engineering problems where impact is highest.
Collaborate closely across teams, working with algorithm engineers, Product, and Engineering partners to define interfaces and align priorities.
Own project-level architecture and technical decisions, ensuring high-quality systems through sound design, code reviews, testing practices, and clear documentation.