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Company: LexisNexis USA
Location: San Francisco, CA
Position Type: Full Time
Experience: See below for details
Education: See below for details
Data Engineering Lead sought by LexisNexis USA in San Francisco, CA, to lead small teams in development/execution of automated operations for large/multiple diverse projects to successfully/consistently enable delivery of high-quality services on time, on budget, to specification. Minimum of Bachelor’s degree or foreign equivalent in Computer Science, Software Engineering, Information Systems, or rltd + 3 yrs exp in job offered or rltd occupations required. Employee reports to LexisNexis USA office San Francisco, CA but may telecommute from any location within US. Interested candidates should apply via following link: https://relx.wd3.myworkdayjobs.com/relx/job/Raleigh-NC/Data-Engineering-Lead_R87328 ($161,246.70 to $201,400/yr) Show more »
Location: San Francisco, CA
Position Type: Full Time
Experience: See below for details
Education: See below for details
Data Engineering Lead sought by LexisNexis USA in San Francisco, CA, to lead small teams in development/execution of automated operations for large/multiple diverse projects to successfully/consistently enable delivery of high-quality services on time, on budget, to specification. Minimum of Bachelor’s degree or foreign equivalent in Computer Science, Software Engineering, Information Systems, or rltd + 3 yrs exp in job offered or rltd occupations required. Employee reports to LexisNexis USA office San Francisco, CA but may telecommute from any location within US. Interested candidates should apply via following link: https://relx.wd3.myworkdayjobs.com/relx/job/Raleigh-NC/Data-Engineering-Lead_R87328 ($161,246.70 to $201,400/yr) Show more »
Refcode: #IPCSFC00135411
Company: MercuryMind Inc. (formerly Horizon Robotics, Inc.)
Location: Cupertino, CA
Position Type: Full Time
Experience: See below
Education: See below
For $172, 931/year. Devlop autnmous drivng prototypes using innovtve deep-learnng algorthms for percpton, predcton, and planning. Reqs: MS (or equiv) in Comp Vision, Comp Eng, or rltd fld. Edu or exp bkgd must incl: Data Structures, Operating Systems, Algorithm Design, Embedded Systems, Machine Learning, and Computer Vision. Any suitable combo of edu, training, or exp is accptble. To apply, mail resumes in attention to: HR, 10050 N Wolfe Road, Unit SW2-130A, Cupertino, CA 95014. Must refer job ID: ARE-2. Show more »
Location: Cupertino, CA
Position Type: Full Time
Experience: See below
Education: See below
For $172, 931/year. Devlop autnmous drivng prototypes using innovtve deep-learnng algorthms for percpton, predcton, and planning. Reqs: MS (or equiv) in Comp Vision, Comp Eng, or rltd fld. Edu or exp bkgd must incl: Data Structures, Operating Systems, Algorithm Design, Embedded Systems, Machine Learning, and Computer Vision. Any suitable combo of edu, training, or exp is accptble. To apply, mail resumes in attention to: HR, 10050 N Wolfe Road, Unit SW2-130A, Cupertino, CA 95014. Must refer job ID: ARE-2. Show more »
Refcode: #IPCSFC00134501
Company: LeanTaaS Inc.
Location: Santa Clara, CA
Position Type: Full Time
Experience: See below
Education: See below
Dvlpg & deploying softw products & apps such as web backend srvcs. Must have Master’s (or foreign equiv) in CS, Eng'g, or rel field + 1 yr Eng'g, Dvlp, Softw or rel exp. 1 yr Eng'g, Dvlpr, Softw or rel exp must incl exp in Java & Restful APIs. Telecommuting is option. Sal range $199,534 to $200,000. Send resumes to LeanTaaS Inc. 471 El Camino Real, Ste 230 Santa Clara, CA 95050 Show more »
Location: Santa Clara, CA
Position Type: Full Time
Experience: See below
Education: See below
Dvlpg & deploying softw products & apps such as web backend srvcs. Must have Master’s (or foreign equiv) in CS, Eng'g, or rel field + 1 yr Eng'g, Dvlp, Softw or rel exp. 1 yr Eng'g, Dvlpr, Softw or rel exp must incl exp in Java & Restful APIs. Telecommuting is option. Sal range $199,534 to $200,000. Send resumes to LeanTaaS Inc. 471 El Camino Real, Ste 230 Santa Clara, CA 95050 Show more »
Refcode: #IPCSFC00135061
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