BENGALURU · FULLTIME
Applied Scientist II, On Road Experience
Amazon
Bengaluru · onsite · Posted 12d ago
Sourced from
Not disclosed3–5 yrsfulltimeBengaluru
Your match
?
Sign in to see your match score, skill gaps & tailored resume.
Section · 01
About this role
Description
This position is based in Bangalore, India
The Last Mile team helps get packages from delivery stations to a customer's doorstep.
To provide new innovations for customers, awe are inventing the next-generation smart delivery operation. We are combining innovative mobile and IoT technologies, data streams (video, vehicle telematics, Image processing, location, and presence), together with machine learning models and algorithms – all to create solutions that allow us to deliver faster, and with more confidence.
Playing a key role in the Last Mile Driver Experience team, as a Applied Scientist you will be responsible for building machine learning models and algorithms in areas including mapping and location, pattern detection in sensor data, and computer vision. Using your research, you will work with your engineering and product management peers to drive designs from ideation through development and into production. You will bring your experience of research for similar products and solutions, preferably in consumer or industrial verticals.
This role requires autonomy and an ability to deliver results, often within the ambiguity of building a v1 product. You will need to work efficiently to build the right things with limited guidance, raising the bar to create an amazing experience for our customers.
Basic Qualifications
Company - ADCI - Karnataka
Job ID: A10410004
This position is based in Bangalore, India
The Last Mile team helps get packages from delivery stations to a customer's doorstep.
To provide new innovations for customers, awe are inventing the next-generation smart delivery operation. We are combining innovative mobile and IoT technologies, data streams (video, vehicle telematics, Image processing, location, and presence), together with machine learning models and algorithms – all to create solutions that allow us to deliver faster, and with more confidence.
Playing a key role in the Last Mile Driver Experience team, as a Applied Scientist you will be responsible for building machine learning models and algorithms in areas including mapping and location, pattern detection in sensor data, and computer vision. Using your research, you will work with your engineering and product management peers to drive designs from ideation through development and into production. You will bring your experience of research for similar products and solutions, preferably in consumer or industrial verticals.
This role requires autonomy and an ability to deliver results, often within the ambiguity of building a v1 product. You will need to work efficiently to build the right things with limited guidance, raising the bar to create an amazing experience for our customers.
Basic Qualifications
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
Company - ADCI - Karnataka
Job ID: A10410004
Sourced from foundit
Let the agent run this one for you.
Tailored resume, auto-apply, and referral lookup — in under 2 minutes.
Section · 02
Skills
high performance computingdata miningComputer Visiondistributed computingNumerical OptimizationUnixData StructuresPythonAlgorithmsJavaLinuxMachine Learning
Section · Company
About Amazon
Amazon
Internet
120k+
employees
1994
32 years old
Hyderabad / Secunderabad, Telangana
India
About
Amazon is an American multinational technology company focusing on e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
Industries
InternetRetailUrban TransportLogisticsEmerging TechnologiesIT Services & Consulting
Employee ratings
31,409 reviews
3.9/ 5
Culture
4.0
Career growth
3.2
Work-life
3.8
Employees rate it well for
Work Culture3746Salary2936Work Life Balance2821Senior Management1830Career Growth1598
Find them on