Job Description
Who We Are:
Artmac Soft is a technology consulting and serviceoriented IT company dedicated to providing innovative technology solutions and services to customers.
Job Description
Job Title : Senior AI & Data Research Scientist Emerging Technologies
Job Type : W2
Experience : 7 20 years
Location : Mountain View California
Required Skills and Experience:
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- Corporate lab setting with a proven track record of cross functional collaboration and achievements experience
- Key components of IoT edge distributed cloud architecture with emphasis on connected systems 3 years
- Experience of proofofconcept (PoC) prototyping for connected cars and IoT systems 3 years
- Experienced with prototyping and cloud bulk data injestion techniques (e.g. AWS Spark Kaftka) 2 years
- Programming experience with Python Rust and embedded systems (e.g. NVIDIA Jetson Arduino etc) 2 years
- Working experience and knowledge of connect car architecture and vehicle compute requirements 2 years
- Broad knowledge of Computer Systems Software engineering and Embedded Systems
- Experience working and communicating in multicultural and multinational companies 2 years
- Hands on experience in R&D with proven credential in patents and publications 5 year
- Strong familiarity with end to end data services/domains and technologies.
- Data Ingest (ETL ELT File Streaming Queue etc.)
- Data integration (Quality cleansing labelling API etc)
- Data Processing
- Data Access
- Data Analytics (familiar with different tools)
- Databases (unstructured and structured SQL NoSQL Vector RDMBS etc.)
- Data Storage technology (SSD HDD etc)
- Memory/Cache
- PoC and Benchmarking experience in AI or data infrastructure
- Strong research interest in data areas where data is the foundation for AI computer
- Research experience with data infrastructure platform development IoT etc 3 years
- Experience with advanced data platform distributed cloud systems & architecture including data management data ingestion data analytics data processing data observability for infrastructure data normalization clustering logs tools monitoring etc. 3 years
- Handson prototyping and programming knowledge (e.g. Python SQL/NoSQL Kafka Spark etc). 3 year
- Managed research projects e.g. planning reporting and managing time / team / outside collaborators 3 year
- Welldeveloped interpersonal and communication skills including ability to respond professionally in all types of situation.
Responsibilities:
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- Define research goals & tasks for AI and/or data technology.
- Work with university researchers on emergent AI and data technologies and algorithms.
- Research and develop data platforms (open source commercial) where this platform can be used widely across multiple business services including battery supply chain marketing mobility chatgpt for support etc.
- Innovate and develop new data capabilities.
- Generate patents and publications.
- Lead discussions of multiple number of products/applications using emerging data and AI technologies.
- Research and develop new capabilities within the data domains (data ingest data integration data labeling data cleansing data processing data and AI analytics data management).
- Develop innovative ideas and solutions for AI and data domains that deliver
- Better performance and Scalability
- Lower cost and reduce latency
- High Availability and Redundancy
- Observability and Reliability
- Encryption Security etc.
- Conduct PoC and benchmarks data services/capabilities to compare performance costs and other criteria.
- Establish research collaborations with leading experts in universities and industry consortiums
- Mentoring and training junior researchers in group/department wide
- Technology transfer ITL research to advanced development or valuable business contribution to the company
- Obtain patents and publish research in prestigious journals and conferences
- Regularly champion research and present/influence to VP and GVP level and show AI or data technology expertise.
- Evangelize the importance of AI generative AI AI platform and create vision and roadmap.
Qualification:
- PhD in Engineering (e.g. Computer Science Data Science Information/Data Management Math Statistics Information Theory etc) or related field
Job Tags
Work experience placement,