Sr AI Software Dev Engineer

Yahoo Finance is the world’s #1 finance destination, empowering investors with news, information, and tools to make financial decisions with confidence. Trusted by over 150M visitors globally each month, representing over $20 trillion dollars in investable assets, Yahoo Finance delivers high-quality real-time market data across desktop, mobile, and streaming platforms. With breaking news from thousands of sources, original editorial perspectives, objective analyst ratings and research, analytical charts and technical tools, personalized mobile alerts, and much more, Yahoo Finance equips investors with knowledge and insights to achieve financial freedom and greater prosperity.

About Yahoo

Yahoo is a leading provider of media and technology brands, reaching over a billion people around the world. Yahoo’s Media Engineering organization uses the latest technologies to build brands our members love. Our brands include Yahoo, AOL, Engadget, TechCrunch, Autoblog, In The Know and many more. They reach hundreds of millions of users so we are focused on building everything at a massive scale. We strive to create world-class user experiences for our valued members, delivering up to the minute, trusted content and data across all of our brands. In order to support this, our teams build the best in breed tools, APIs, utilities and services using bleeding edge technologies at scale.

At Yahoo Finance, we power experiences for millions of users globally every month and remain the clear leader in our category. Our systems scale to processing 5 billion market events per day from over 80 global exchanges. We are the largest business, financial information and tools app/site in the world, with unrivaled access to data, insights, tools and original editorial content. Under a new leadership team, we have recommitted to building and revitalizing this essential, trusted resource for investors and savers.

About The Role

We are looking for an experienced engineer with a proven track record of building world class scalable systems that exceed customer needs while achieving business goals. In this position, you will collaborate closely with Engineering, Product and Design teams to enhance our expanding range of product offerings. Additionally, you will develop applications and tools essential for effectively supporting our overall business operations and ensuring the quality of our data and services. This role will be directly responsible for architecting, designing, scoping, building, maintaining, and iterating on the underlying systems needed to deliver world class finance products and features.

Responsibilities:

• Be part of an agile scrum team and demonstrate constant progress through proof of concept, sandboxing and prototyping
• Architect and design scalable, maintainable, secure and reusable strategic solutions
• Deploy, monitor, and manage ML models in production environments using MLOps best practices
• Work closely with data scientists to transition models from development to production efficiently.
• Optimize ML models and infrastructure for efficiency, scalability, and cost-effectiveness.
• Design and implement frameworks and tools that empower other developers and non-technical colleagues across your entire team
• Estimate timelines, perform task breakdown, scoping, design, implementation for mid-to-large scale products and complex multi-month deliverables with insightful strategic approaches
• Lead key team initiatives from start to finish by managing and improving the entire software development life cycle
• Seek opportunities in our day-to-day workflow and process to improve quality and efficiency from initial ideation to deployment
• Present and communicate across multiple groups to showcase progress, share knowledge and evangelize best practices
• Performing code reviews for your peers where they will learn from your experience and guidance contributing to collaborative working models
• Recommend approaches to solving complex problems and use new technologies to achieve goals
• Own, deploy, monitor, and operate large-scale production systems distributed across the globe.
• Lead and mentor junior engineers in the process of building production grade systems and applications which scale and perform
• Act as technical liaison to business teams to translate business needs to work streams and technical solutions
  
  

Requirements (must have):

• MS or PhD in Computer Science or a related major
• 5 to 10 years industry experience as a Back End Engineer or ML Engineer or Research Engineer
• Deep functional knowledge and hands on experience with the following technologies (or equivalent); AWS or GCP cloud services, RESTful Web Services, Containerization (Docker, ECS, Kubernetes)
• Familiarity with modern AI tools (LLMs, Embedding models, vector databases)
• Experience with or familiarity with AI/ML Ops tools and platforms (e.g. AWS Bedrock, GCP Vertex AI or Databricks)
• Familiarity with basic Data Science concepts
• Experience architecting and implementing large scale, highly integrated, distributed user-facing applications and tools
• Experience with version control tools (Git)
• Capable of implementing a resilient web architecture
• Experience building web products end to end with a deep understanding of web principles and best practices
• One or more of the following:
• Experience building AI applications
• Familiarity with Machine Learning and Deep Learning concepts
• Familiarity/Experience with time series analysis
• Advanced Data Science skills
• Experience with time series analysis
• Familiarity with financial datasets (such as Company Fundamentals, Options and Level2 market data)
• Experience with fine tuning ML/DL models
• Ability to work a hybrid model, commuting 3 days a week to an office in Bangalore
  
  

Important notes for your attention

Applications:

All applicants must apply for Yahoo openings direct with Yahoo. We do not authorize any external agencies in India to handle candidates’ applications. No agency nor individual may charge candidates for any efforts they make on an applicant’s behalf in the hiring process.

Our internal recruiters will reach out to you directly to discuss the next steps if we determine that the role is a good fit for you. Selected candidates will go through formal interviews and assessments arranged by Yahoo direct.

Offer Distributions:

Our electronic offer letter and documents will be issued through our system for e-signatures, not via individual emails.

Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo will consider for employment qualified applicants with criminal histories in a manner consistent with applicable law. Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form (www.yahooinc.com/careers/contact-us.html) or call +1.866.772.3182. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.

Yahoo has a high degree of flexibility around employee location and hybrid working. In fact, our flexible-hybrid approach to work is one of the things our employees rave about. Most roles don’t require specific regular patterns of in-person office attendance. If you join Yahoo, you may be asked to attend (or travel to attend) on-site work sessions, team-building, or other in-person events. When these occur, you’ll be given notice to make arrangements.

If you’re curious about how this factors into this role, please discuss with the recruiter.

Currently work for Yahoo? Please apply on our internal career site.