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Job Type
Full Time -
Experience
6-8 year -
Salary
$142,000 - $211,000 / Year -
Location
Atlanta, GA, USA
Austin, TX, USA
Boulder, CO, USA
Cambridge, MA, USA
Chicago, IL, USA
Charlotte, NC, USA
Addison, TX, USA
Houston, TX, USA
Las Vegas, Nevada, USA
New York, NY, USA
Portland, OR, USA
Los Angeles, CA, USA
Seattle, WA, USA
San Francisco, CA, USA
Salt Lake City, UT, USA
Sunnyvale, CA, USA -
Job Function
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Industry
Information Technology -
Qualification
Degree in Artificial intelligence- AI
Degree in Computer Engineering
Key Skills
Aartificial intelligence, Computer Vision (CV), Continuous Integration & Continuous Delivery - CI/CD, Deep Learning, Google Cloud Platform (GCP), JAX framework, Large Language Models - LLMs, Machine learning techniques, MLOps tools, Natural Language Processing (NLP), PyTorch, SPARK Programming, TensorFlow
Job Description
Minimum qualifications:
- Bachelor's degree in Science, Technology, Engineering, Math, or equivalent practical experience.
- 5 years of experience in AI applications (e.g., Deep Learning, NLP, Computer Vision, or Pattern Recognition).
- Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch).
- Experience delivering technical presentations and leading business value sessions.
Preferred qualifications:
- Master's degree in Computer Science, Engineering, or a related technical field.
- Experience designing and deploying with one or more from the following ML frameworks: TensorFlow, PyTorch, JAX, Spark ML, etc.
- Experience training and fine tuning models in large scale environments (e.g., image, language, recommendation) with accelerators.
- Experience with distributed training and optimizing performance versus costs.
- Experience with CI/CD solutions in the context of MLOps and LLMOps including automation with IaC (e.g., using terraform).
- Experience in systems design with the ability to architect and explain data pipelines, ML pipelines, and ML training and serving approaches.
About the job
As a Field Solutions Developer II for Generative AI, you will support the Google Cloud Sales organization. You will construct rapid prototype Generative AI applications tailored to Google Cloud customers, catering to a diverse clientele ranging from early stage startups to large-scale corporations. You will leverage cutting-edge Generative AI technologies to develop innovative solutions and validate their efficacy. You will swiftly showcase the latest Generative AI capabilities through direct collaboration with customers.
In this role, you will closely collaborate with our Product team to eliminate obstacles and shape the future trajectory of our offerings. In addition, you will disseminate the lessons learned to customers and internal Google teams.
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.
For US Applicants:
The US base salary range for this full-time position is $142,000-$211,000 + 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 benefits at Google.
Responsibilities
- Be a trusted advisor to our customers by understanding the customer’s business process and objectives. Design Generative AI-driven solutions, spanning AI, Data, and Infrastructure, and work with peers to include the full cloud stack into overall architecture.
- Demonstrate how Google Cloud is differentiated by working with customers on application prototypes, demonstrating Generative AI features, prompting and tuning models, optimizing model performance, profiling, and benchmarking. Troubleshoot and find solutions to issues in Generative AI applications.
- Build repeatable technical assets such as scripts, templates, reference architectures, etc. to enable customers and internal teams.
- Work cross-functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements.
- Coordinate regional field enablement with leadership and work closely with product and partner organizations on external enablement. Travel as needed.
Company Info.
GoogleGoogle LLC is a multinational technology company headquartered in the United States that specializes in various fields, including search engine technology, cloud computing, online advertising, quantum computing, e-commerce, computer software, artificial intelligence, and consumer electronics. With its market dominance, data collection, and technological advancements in AI.
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IndustryE-commerce,Artificial intelligence,Internet services,Cloud computing,Computer software,Advertising,Computer hardware,Consumer electronics
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No. of Employees139,995
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Location1600 Amphitheatre Parkway, Mountain View, CA 94043, USA
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Website
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Jobs Posted
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Google is currently hiring Data Solutions Developer Jobs in Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Charlotte, NC, USA; Addison, TX, USA; Houston, TX, USA; Las Vegas, Nevada, USA; New York, NY, USA; Portland, OR, USA; Los Angeles, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; Salt Lake City, UT, USA; Sunnyvale, CA, USA with average base salary of $142,000 - $211,000 / Year.
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GoogleSan Francisco, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA
8-10 year
Student Researcher, PhD, Winter/Summer 2024
GoogleWaterloo, ON, Canada; Montreal, QC, Canada; Toronto, ON, Canada
0-2 year
Field Solutions Developer II, Generative AI, Google Cloud
GoogleMontreal, QC, Canada; Toronto, ON, Canada; Waterloo, ON, Canada
6-8 year
Field Solutions Developer III, Generative AI, Google Cloud
GoogleAtlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Charlotte, NC, USA; Addison, TX, USA; Houston, TX, USA; Las Vegas, Nevada, USA; New York, NY, USA; Portland, OR, USA; Los Angeles, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; Salt Lake City, UT, USA; Sunnyvale, CA, USA
8-10 year
Field Solutions Developer III, Generative AI, Google Cloud
GoogleMontreal, QC, Canada; Toronto, ON, Canada; Waterloo, ON, Canada
8-10 year
ASIC RTL Design Engineer, ML Accelerators, University Graduate
GoogleSunnyvale, CA, USA; Madison, WI, USA
0-2 year
Field Solutions Architect, Generative AI, Google Cloud
GoogleMunich, Germany; Ludwigsfelde, Germany; Frankfurt, Germany; Hamburg, Germany
8-10 year
Cloud Technical Resident, Cloud Academy, Early Career (English, Mandarin)
GoogleTaipei, Taiwan
0-2 year
Cloud Technical Resident, Cloud Academy, Early Career (Tagalog, English)
GoogleTaguig, Metro Manila, Philippines
0-2 year
Cloud Technical Resident, Cloud Academy, Early Career (Korean, English)
GoogleSeoul, South Korea
0-2 year
Cloud Technical Resident, Cloud Academy, Early Career (English, Japanese)
GoogleTokyo, Japan
0-2 year
Student Researcher, PhD, Winter/Summer 2024
Google DeepMindMontreal, QC, Canada; Toronto, ON, Canada; Waterloo, ON, Canada
0-2 year
Chief of Staff, Google Research
GoogleMountain View, CA, USA; New York, NY, USA; Seattle, WA, USA
8-10 year
Senior Engineering Manager, Machine Learning
GoogleKirkland, WA, USA; Seattle, WA, USA; Sunnyvale, CA, USA
8-10 year
Senior Staff Data Scientist, Research
GoogleKirkland, WA, USA; Mountain View, CA, USA; New York, NY, USA
20-22 year
Generative AI Field Solutions Architect
GoogleBengaluru, Karnataka, India; Gurugram, Haryana, India; Mumbai, Maharashtra, India
2-4 year
Group Social Science and Central Marketing Services Manager
GoogleLos Angeles, CA, USA; New York, NY, USA; San Francisco, CA, USA
4-6 year
Software Student Training in Engineering Program (STEP) Intern, 2024
GoogleBengaluru, Karnataka, India; Hyderabad, Telangana, India; Pune, Maharashtra, India
4-6 year
Staff Software Engineer, Machine Learning, Secure Storage Infrastructure
GoogleMountain View, CA, USA; San Francisco, CA, USA; Seattle, WA, USA
8-10 year
Audio/ML Staff Software Engineer, Project Starline
GoogleMountain View, CA, USA; San Francisco, CA, USA; Seattle, WA, USA
4-6 year
Macro Economist, Finance
GoogleLos Angeles, CA, USA; Mountain View, CA, USA; San Francisco, CA, USA
0-2 year
Technical Curriculum Developer, AI/ ML, Google Cloud
GoogleAtlanta, GA, USA; Austin, TX, USA; Chicago, IL, USA
4-6 year
Technical Lead, Google Kubernetes Engine, Generative AI
GoogleKirkland, WA, USA; Mountain View, CA, USA; Seattle, WA, USA
14-16 year
Technical Solutions Consultant, AI, Google Cloud
GoogleAustin, TX, USA; New York, NY, USA; Sunnyvale, CA, USA
4-6 year
ML Compute IP Engineer, Hardware/Software Integration/Validation
GoogleMadison, WI, USA; Sunnyvale, CA, USA
4-6 year
Product Counsel, Google Assistant and Google Bard
GoogleAustin, TX, USA; Mountain View, CA, USA
6-8 year
Software Engineer
GoogleAtlanta, GA, USA; Austin, TX, USA; Cambridge, MA, USA; Irvine, CA, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Mountain View, CA, USA; New York, NY, USA; Palo Alto, CA, USA; Pittsburgh, PA, USA; San Bruno, CA, USA; San Diego, CA, USA; San Francisco, CA, USA; Seattle, WA, USA
2-4 year
Senior Data Scientist
GoogleAustin, TX, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Mountain View, CA, USA; San Diego, CA, USA; San Jose, CA, USA; Seattle, WA, USA; United States
8-10 year
Senior Staff Visual Designer, AI, Devices and Services
GoogleMountain View, CA, USA; San Francisco, CA, USA
10-12 year
Software Developer Intern, MS, Summer 2024
GoogleToronto, ON, Canada; Waterloo, ON, Canada
0-2 year
Software Engineer, Quantum Error Correction, Quantum AI
GoogleGoleta, CA, USA; Los Angeles, CA, USA
6-8 year
Software Engineer, Staff Multimodal and Large Language Models
GoogleMountain View, CA, USA; Seattle, WA, USA
4-6 year
Software Engineering Manager, Machine Learning Infrastructure, Google Photos
GoogleLos Angeles, CA, USA; Mountain View, CA, USA
12-14 year
Staff Software Engineer, Computer Graphics/Vision, Project Starline
GoogleMountain View, CA, USA; Seattle, WA, USA
4-6 year
Superconducting Device Modeling Research Scientist, Quantum AI
GoogleGoleta, CA, USA; Los Angeles, CA, USA
0-2 year
Treasury Quantitative Analyst
GoogleBengaluru, Karnataka, India; Mumbai, Maharashtra, India
2-4 year
Business and Marketing Data Scientist, Applied Machine Learning
GoogleNew York, NY, USA; Redwood City, CA, USA
4-6 year
Cloud Sales Engineer, Data and Analytics, Looker
GoogleNew York, NY, USA; San Francisco, CA, USA
0-2 year
Customer Engineer, Corporate, AI/Machine Learning, Google Cloud
GoogleSan Francisco, CA, USA; Sunnyvale, CA, USA
4-6 year
Data Scientist, Product Analytics, Geo
GoogleBengaluru, Karnataka, India; Hyderabad, Telangana, India
4-6 year