Feeny
At-Bay

Software Engineer (DS Team) at At-Bay (Tel Aviv, Israel)

At-Bay· Tel Aviv, Israel·

Job description

About At-Bay

We are an insurance company built by cybersecurity experts, leveraging our technology and security expertise to better understand digital risks and, thus, build better insurance products and services. We help clients by providing insurance products, guidance on their security issues, and active risk management. Like software, digital risk is eating the world and we aim to empower businesses to thrive in this ever-changing landscape. At-Bay has raised nearly $300MM in funding from Icon Ventures, LightSpeed Venture Partners, Qumra Capital, M-12 (Microsoft), Acrew Capital, Khosla Ventures, Shlomo Kramer and MunichRe. We are 100+ people distributed globally with hubs in San Francisco, New York City, Atlanta, and Tel Aviv. We have aggressive plans to scale our business and believe the best way to make that happen is to immediately invest in further developing our teams.

About the role

We're looking for a software engineer who specializes in machine learning - someone whose core strength is writing excellent, production-grade code. You'll own the engineering quality of our ML systems: building, maintaining, and monitoring the services that run our models in production, and helping our data scientists ship code that's readable, maintainable, and built to last.

Responsibilities

  • Transition ML workloads from research to production - ensuring scalability, efficiency, and reliability.
  • Design, build, and maintain ML services, their infrastructure, and monitoring across their lifecycle.
  • Integrate ML into our production systems, working closely with the engineering and devops teams.
  • Own the data infrastructure and tooling our ML systems rely on, and shape unstructured data into a form ready for analysis.
  • Help data scientists write readable, maintainable code, and raise software engineering standards across the team.

Qualifications

  • 4+ years as a software engineer, with some hands-on experience in the ML domain.
  • Strong Python and software-engineering fundamentals: OOP, design patterns, SOLID, clean code, and architecture.
  • Bachelor's degree or higher in Computer Science or another STEM field.
  • Solid grasp of core ML concepts (e.g., linear regression) - you understand the models you put into production.
  • Experience building services and tools that track the ML lifecycle and optimize ML workloads.
  • Working knowledge of data cleaning and wrangling, and the right tools for the job.
  • Experience with AWS (concretely EKS).
  • Driven and result-oriented.
  • A solid track record of execution, with strong attention to detail.

Nice to have

  • Experience integrating MLOps tooling - experiment trackers, data versioning, and practices such as CI/CD/CT.
  • Ops experience with AWS and Kubernetes.
  • Data science exposure, particularly deploying and maintaining models.

Location: Tel Aviv, Israel

What You'll Get

  • A strong emphasis on work-life balance.
  • Beautiful offices in the heart of Tel Aviv, near the train station and main bus stops.
  • Passionate, smart, and fun people to work with.
  • You will never lack a challenge we are a unique blend of a fast-growing tech startup, an international firm, and an insurance company.

Why work at At-Bay

  • Culture: Emphasizes “Good people,” “Better Together,” “Drive for impact,” and “Act with Integrity.” Team values include curiosity, ownership, humility, and celebration of diversity.
  • Work policy: Remote-first hybrid model; offices in Mountain View, Tel Aviv, New York, Atlanta, Chicago. Flexible remote options available for many roles.
  • Notable perks: 20 days paid vacation + 2 floating holidays, quarterly wellness days, paid parental leave, 401k with employer match, medical/private health insurance, fitness benefits, in-office lunches/meal budget, new hire stipend, company retreats, monthly happy hours and team outings. Over 50% of employees are under-represented minorities; 50+ office dogs and 4,750 birthday cupcakes sent last year.
  • Engineering culture: Strong focus on data, research, and iterative product development; collaborative cross-functional teams.

Application questions