Staff ML Software Engineer, AI Video Research/Innovation

Key Skills

Aartificial intelligence, Deep Learning, Generative AI, Large Language Models - LLMs, Machine learning techniques, TensorFlow

Job Description

Are you passionate about making huge business impacts through data-driven insights and developing game-changing new capabilities? Do you love working collaboratively in an innovative environment? Would you love to make a direct impact on customers’ lives? Come join the TurboTax Buyer Journey analytics team as a Staff Data Scientist focused on web personalization capabilities and analytics. You will be joining a team that is responsible for the end-to-end customer journey from first touch to diving into the tax prep process. As the data science leader for web personalization, you will develop new models and insights to personalize the site experience for potential and existing TurboTax customers, deliver new experimentation methods to better understand incremental impact of personalization, and collaborate with product, marketing, digital activation, and engineering teams to create a personalization center of excellence.

Responsibilities

• Develop machine learning models and other approaches for key attribute identification in order to optimize content and user experience based on behavioral data.
• Lead development of a web personalization strategy, including identification of data sources and metrics and partner with engineering to develop feature engineering solutions for real-time personalization.
• Collaborate with cross-functional teams to design and implement data-driven personalization experiments.
• Develop and implement a structured experimentation framework for testing and validating personalized content and recommendations, including identifying key metrics and KPIs to measure performance and ROI.
• Communicate insights and recommendations to key stakeholders, including senior leadership, around benefit of personalization and recognition.

Qualifications

• 10+ years of experience working with sales analytics, product analytics, web analytics, customer analytics, or other customer experience analytics
• Technical proficiency in SQL, Databrick, A/B testing, Tableau, and Excel
• Experience in Advanced Analytics (e.g. Python, R) and developing and deploying machine learning models preferred.
• Ability to tell stories with data, influence business decisions at a leadership level, and provide solutions to business problems
• Exceptional problem-solving, quantitative thinking, organization, time management, and task prioritization skills
• Outstanding communication skills with both technical and non-technical audiences
• Bachelor’s Degree in Statistics, Mathematics, Data Analytics, Finance, Advanced Analytics, or related field. Master’s Degree preferred; equivalent experience will be considered

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development, and with data structures/algorithms.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• Experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing or other ML discipline.
• Experience in Generative AI (e.g., Large Language Models, Multi-Modal, Large Vision Models).

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, and/or cross-business projects.
• 3 years of direct experience developing and launching ML based product workflows.
• 3 years of experience with standard Google ML Infrastructure and frameworks, and willingness to learn new ones as necessary.
• Experience developing/using Machine Learning models for Vision.
• Experience with on-device ML models.

About the job

As a Machine Learning Software Engineer, you will help make multimodal video first AI experiences a reality. You will make direct technical contributions while navigating ambiguity. This role will be largely self-directed and operate independently with minimal oversight. We value those who are willing to help out with whatever moves the project forward.

We work closely with many teams across Google, including Astra, Gemini Nano, Gemini Live, and Silicon. Our work engages several layers of the stack, including modeling, efficiency on silicon, and user experiences/interaction paradigms.

This is a unique chance to join our multidisciplinary team working on AI research, building from zero to one. You will be working directly with advanced AI technologies and turning new ideas into finished products, fundamentally impacting people’s lives.

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users.

The US base salary range for this full-time position is $189,000-$284,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations.

Responsibilities

• Build emerging, edge focused multimodal (e.g., image and video) AI capabilities partnering closely with Researchers across Alphabet (e.g., Google Research, Google DeepMind).
• Ideate and run experiments to enhance model quality and latency for on-device models.
• Partner closely with Product teams across Partners and Devices (e.g., Android, Pixel, Gemini/Bard, AR, etc.) to develop novel user experiences.
• Collaborate closely with cross-functional and cross-product area partners to plan and prioritize projects.
• Design, develop, and launch new product features.