דרושים Senior Machine Learning Engineer Trust & Safety ב-Airbnb ב-India, Bengaluru

A Typical day:

Your contributions take a variety of shapes:

• Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases.
• Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact.
• Work closely with other trust defense and platform teams to tackle the changing landscape of fraud attacks.
• Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases.
• Examples include: Anomaly detection models, ML models for continuous risk evaluation.

Your Expertise:

• 6 to 10 years of relevant industry experience in applied Machine Learning, including BE/B.tech or PhD in relevant fields
• Strong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills
• Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection), algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization) and domains (eg. natural language processing, computer vision, personalization and recommendation, anomaly detection)
• Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (eg. Hive)
• Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models
• Exposure to architectural patterns of a large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models)
• Experience with test driven development, familiar with A/B testing, incremental delivery and deployment.
• Experience with the Trust and Risk domain is a plus.

Offices: Bangalore, India

As part of the Trust Engineering team, you will be in charge of designing large-scale systems to detect and mitigate fraud, abuse, and safety risks across our platform. You will be deeply involved in building highly available and real-time risk detection services in close collaboration with product, data science, and operations teams to understand ever-evolving attack vectors. You’ll also work closely with other Trust engineers—whether focused on defense or platform—to build tools and frameworks that make our defenses more adaptive, efficient, and resilient.

Your contributions may take a variety of forms, including:

• Designing, implementing, and operating resilient and scalable distributed systems.
• Collaborating with cross-functional partners—including software engineers, product managers, data scientists, and operations teams—to understand business impact, define requirements, and drive engineering decisions.
• Building and evolving platform capabilities to address the ever-changing landscape of fraud, abuse, and safety risks across Airbnb.
• Partnering with teams across Trust, Payments, and Community Support to identify and implement system improvements that increase the reliability, scalability, and efficiency of our defenses.
• Contributing critical input to the Trust Engineering roadmap and long-term technical direction.
• Developing, productionizing, and operating machine learning models and pipelines at scale, for both batch and real-time use cases.
• Mentoring other engineers and helping them grow their technical and collaboration skills.
• Advocating for and contributing to improvements in Airbnb’s engineering processes and foundational systems.

Your Expertise

• 9+ years of industry engineering experience.
• BS/MS/PhD in Computer Science, a related field, or equivalent work experience
• Strong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills
• Hands on experience leading project teams and setting technical direction.
• Exposure to architectural patterns of a large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models)
• Experience with test driven development, familiar with A/B testing, incremental delivery and deployment.
• Experience with platform architecture patterns and best practices. Experience with building and leading infrastructure is a plus.
• Experience with the Trust and Risk domain is a plus.
• Experience with hands on machine learning model development is a plus.

Offices: Bangalore, India

A Typical Day:

As a Senior Software Engineer on the Payments Processing team, your mission is to design and build a payments gateway platform that is fast and easy to integrate with, reliable for money movements, smart to route our business cost-effectively, resilient to any external processor downtime in any market, and accurate for Financial reporting. We’re looking for engineers who are independent, thoughtful, creative, and passionate about building the best payment gateway platform.

• Critical to make technical decisions
• Provide technical guidance for engineers and teams
• Advise on architecture and propose solutions to payment problems that span multiple teams and organizations.
• Consult on the performance, scalability, architecture, reliability and engineering best practices of payment gateway systems.
• Lead a cross-team group of engineers and partner with product, data, finance, operations to push the boundaries of what payments gateway platform can support.

Your Expertise:

• 5-9+ years of industry experience
• Backend or Full-Stack experience in a work-setting or classroom-setting.
• Work experience, open-source code, or coursework in any of the following languages: C/C++, Java, C#, Python/Django, Ruby/Ruby on Rails
• Evidence of exposure to architectural patterns of a large, high-scale web application (e.g., well-designed APIs, high volume data pipelines, efficient algorithms).
• Understanding of data structures and problem solving approaches, and ability to articulate trade offs
• Passion for creating highly effective technology platform for our growing global workforce
• Experience with Agile development
• Be future looking; we might be focused on immediate regulations, but need to build for the long term
• Comfortable with tackling ambiguous problems and unblocking yourself
• Focus on building high quality products; every one of our flows affects the business bottom line
• Data driven in how you solve problems and validate you've solved them correctly
• Have a strong desire to mentor the careers and development of other engineers
• Possesses strong verbal and written communication skills.
• BS in Computer Science / MIS or equivalent work-related experience

Offices: Bangalore, India

Include insight to the working environment:

• Inclusive and supportive work environment. We promote sustainable engineering practices, well-being / healthy team dynamics, and value differences.
• Career development-- internal mobility, mentoring opportunities, and leadership development opportunities.
• Work on launching and expanding our protection products across global markets.
• Seize greenfield opportunities on a fast-growing team.
• Deliver on a strategic, multi-year platform roadmap and global rollout.
• Collaborate with product, engineering, data science, data engineering, and numerous platform teams within Airbnb.

The Difference You Will Make:

• We are looking for a self-motivated leader who is interested in working in a highly dynamic environment by collaborating with cross-functional and cross-geographical teams. As a Staff Engineer, you would be expected to bring in expertise of managing large scale, and platforms, and support Airbnb’s Tax Engineering and scale it to efficiently adapt to ever evolving regulatory needs. The systems, APIs, experiences, and tools that you develop will be used across guest and host surfaces around the world.
• As a Staff engineer, you’ll be responsible for establishing a technical vision and building alignment within engineering and cross-functional teams - all while delivering a solution that is flexible, always available, efficient, and scales with the needs of the business. Your own unique skill set, rich experiences and thought leadership will be key to success in this role.

A Typical Day:

• Lead the development and refinement of systems powering Tax.
• Partner with technical leaders inside and outside of Tax to design and build the next-generation Invoice system that is service-oriented, configurable, auditable and efficiently leverages existing Airbnb capabilities.
• Work closely with Product, Pricing, Payments, Operations and other cross-functional partners as part of a globally distributed team, to define and ship impactful features.
• Partner with other engineering teams in Airbnb to serve our users holistically.
• Lead and mentor engineers — both inside and outside your immediate team — in building solutions and developing skills.
• Advocate for and participate in efforts to advance Airbnb’s engineering processes and technical foundations. Drive systemic improvements by identifying patterns to streamline development, reduce toil and increase technical quality and operational excellence over time.

Your Expertise:

• 9+ years of experience in a hands-on software engineering role in backend / full-stack development.
• Bachelor’s and/or Master/PhD’s degree, preferably in CS, or equivalent experience
• Passionate about efficiency, availability, technical quality and system quality.
• Excellent communication and collaboration skills and the ability to work well within engineering organization and cross functions.
• Love collaborating via code reviews and architecture discussions, and are motivated to improve their teammates’ productivity
• Experience working with a microservice architecture at scale.
• Experience in Fintech, Tax, Invoicing is a bonus
• [Bonus] Experience working on a Product team or customer-centric software supporting a medium to large engineering organization.
• [Bonus] Show motivation for personal growth and learning new technologies to support the team’s needs

position is completely Remote- India

Offices: Bangalore, India

Responsibilities:

• This role will partner with key stakeholders in HR - Total Rewards, Recruiting, Talent Management, HR Business Partners, HR Operations, and partners in IT, as we transform the way Airbnb’s global workforce is managed and the technology that enables it
• Proactively recommend changes and solutions to address business challenges, and implement these solutions with partnership from the accountable stakeholders
• Work with business owners to solicit requirements and create documentation for enhancements, projects and initiatives
• Collaborate with business partners to document HR Systems processes flows & requirements (e.g. Compensation, Benefits, Time Off) in preparation for periodic business system evaluations, and lead RFP processes including coordination with vendors
• Support and configure Workday HCM with subject matter expertise.
• Complete testing to ensure enhancements and projects meet business requirements and are free of defects; create test plans and test cases, perform system and end-to-end testing
• Configure, audit, and troubleshoot Workday. Proactively address issues in order to minimize disruptions to Airbnb’s use of Workday.
• Demonstrate creative ways to deliver solutions that may suggest People & Process changes for our business, without relying solely on Systems solutions to solve business problems.
• Support operational tasks including, but not limited to: Triage ticket intake for the HR Systems team, manage operational support vendor(s) in resolving open items, participate in rotational ownership of leading Workday updates.
• Drive accountability with business sponsors of specific projects for executing effective change management, and training on new functionality to ensure highest levels of adoption.
• Partner with technical counterparts on identifying suggested/required integrations that support automation of data flows
• Educate HR subject matter experts on Workday development methodology (iterative and agile)

Your Expertise:

• 8+ years of experience in an HRIS Business Systems Analyst role
• 5+ years of experience supporting Workday HCM with comprehensive knowledge of Workday compensation setup for a global workforce
• Solid understanding a broad range of HR disciplines and corresponding system functionality
• Experience with reporting tools and security configuration
• Must be proactive, self-directed, an expert multi-tasker and have good project management skills
• Must be a strong collaborator with excellent written and verbal communication skills
• Proven ability to deal with sensitive and confidential data
• Experience in HCM and ERP systems project/implementation work
• Ability to work under tight deadlines managing multiple tasks
• Proven demonstration of problem solving/ analysis skills to solve various stakeholder issues or process changes
• Demonstrated ability to operate independently with direction from senior team members
• Ability to gain knowledge of client policies and procedures and ability to provide advice and counsel
• Ability to identify process improvement areas
• Ability to refine processing procedures based on "big picture" and best practice understanding
• Understanding of other in scope related service areas desired (e.g. compensation, benefits, payroll)
• Ability to navigate and learn multiple systems
• Demonstrated ability to write client business requirement documents

Offices: Bangalore, India

A Typical Day:

• Technical Leadership : Define and execute the technical strategy for trust and safety initiatives, ensuring alignment with Airbnb’s long-term goals.
• Team Management : Hire, mentor, and lead a high-performing engineering team. Foster a culture of innovation, ownership, and continuous improvement.
• Cross-Functional Collaboration : Work closely with product managers, data scientists, and partner engineering teams to develop effective, scalable solutions.
• Project Oversight : Lead end-to-end project execution, ensuring high-quality delivery across the software development lifecycle.
• Stakeholder Engagement : Provide clear communication of project status, risks, and opportunities to senior leadership and partners.
• Operational Excellence : Champion best practices for reliability, scalability, and incident response. Maintain operational readiness for critical systems.
• Industry Awareness : Stay current on trends in Trust & Safety, and drive adoption of best practices and innovations within the team.
• Global Alignment : Work with global counterparts to ensure the India team’s initiatives are aligned with broader Trust & Safety goals.

Your Expertise:

• Bachelor’s degree in Computer Science or a related field (or equivalent practical experience).
• 12+ years of industry experience, including 5–7+ years in engineering management.
• Proven track record of delivering large-scale, secure, and reliable systems.
• Strong experience in leading technical strategy and building scalable engineering, data, or machine learning systems.
• Expertise in leading AI/ML teams and delivering AI-powered solutions is a strong plus.
• Proficiency in at least one major language (e.g., Java, Python, Go, Ruby).
• Demonstrated ability to hire and retain top-tier engineering talent.
• Excellent communicator—capable of bridging technical and non-technical audiences.
• Experience setting multi-year strategies and aligning diverse stakeholders.
• Background working in fast-paced, agile environments with cross-functional teams.
• Passion for trust, safety, and driving positive social impact.
• Strong commitment to fostering diversity, equity, and inclusion within teams.

Offices: Bangalore, India

A Typical Day:

• Design, build, and maintain robust and efficient data pipelines that collect, process, and storedata from various sources, including user interactions, listing details, and external data feeds.
• Develop data models that enable the efficient analysis and manipulation of data formerchandising optimization. Ensure data quality, consistency, and accuracy.
• Build scalable data pipelines (SparkSQL & Scala) leveraging Airflow scheduler/executorframework
• Collaborate with cross-functional teams, including Data Scientists, Product Managers, andSoftware Engineers, to define data requirements, and deliver data solutions that drivemerchandising and sales improvements.
• Contribute to the broader Data Engineering community at Airbnb to influence tooling andstandards to improve culture and productivity
• Improve code and data quality by leveraging and contributing to internal tools to automaticallydetect and mitigate issues

Your Expertise:

• 5-9+ years of relevant industry experience with a BS/Masters, or 2+ years with a PhD
• Extensive experience designing, building, and operating robust distributed data platforms (e.g., Spark, Kafka, Flink, HBase) and handling data at the petabyte scale.
• Strong knowledge of Java, Scala, or Python, and expertise with data processing technologies and query authoring (SQL).
• Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions
• Expertise with ETL schedulers such as Apache Airflow, Luigi, Oozie, AWS Glue or similar frameworks
• Solid understanding of data warehousing concepts and hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery, HBase, ClickHouse)
• Excellent written and verbal communication skills

Offices: Bangalore, India