AI/ML Senior Software Engineer
About the job
SummaryBy Outscal
- Bachelor's degree or equivalent experience
- 5 years of software development experience
- 3 years of experience testing and launching software products
- 3 years of experience with infrastructure or compute technologies
- Experience with AI/ML quality evaluation and improvement
- Master's degree or PhD in Computer Science
- Experience in a technical leadership role
- Experience developing accessible technologies
- Experience promoting product excellence and collaboration
- Experience using collaborative notebook-based workflows
- Passionate about delighting enterprise customers
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- 3 years of experience with developing infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
- Experience in AI/ML quality evaluation and improvement.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
- Experience promoting product excellence and collaboration, driving a portfolio of concurrent engineering projects running the gamut from short-term critical feature launches to long term research initiatives.
- Experience using collaborative notebook-based workflows for prototyping and knowledge sharing.
- Passionate about delighting enterprise customers, and an excellent understanding of enterprise workloads.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In this role, you will be working with a team of software engineers and product managers in BigQuery's Data Integration to help design and build data engineering agents backend and evaluation frameworks.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $161,000-$239,000 + 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. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .
Responsibilities
- Design and develop next-generation software systems for data analytics.
- Prototype and research for solutions in projects with a high level of uncertainty.
- Participate in discussion with PMs and customers to understand requirements and map those to technical requirements.
- Apply judgment to determine whether, where, and how to apply AI/ML to products.
- Evaluate, fine-tune, and maintain models (which includes collecting and preparing data as needed).
About The Company
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
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