Lead Data Scientist - AI-Human Interaction
HumanaSalary not specified
Full Time
Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, CommunicationsIndustries
Requirements
- Degree in Computer Science or related AI field
- Research background (formal or informal) in Artificial Intelligence, Machine Learning, or a related field
- Robust background in artificial intelligence, machine learning, and data science
- Expertise and proven track record in one or more of the following research areas: (1) Human-AI Collaboration, (2) Trustworthy AI, (3) Conversational AI, (4) Network Optimization, (5) Spam & Fraud Detection, (6) Voice AI, (7) Privacy-aware AI, or (8) Generative Models
- Strong publication record in reputable AI conferences and journals (e.g., NeurIPS, ICML, ICLR, ACL, ECIR, KDD, WSDM, RecSys etc.)
- A knack for solving complex problems and working both solo and in a team
- Strong communication skills and the ability to present complex concepts in an accessible manner
- Experience in assessing the potential of using scientific principles and concepts to solve business problems and enhance products
- Proficiency in Python (desirable)
Responsibilities
- Lead and conduct cutting-edge research in AI to improve our CPaaS platform
- Invent, develop, and implement advanced machine learning algorithms and models
- Work on projects funded internally and externally in different setups and methodologies
- Collaborate with cross-functional teams in a fun work environment
- Publish research findings in selected conferences and journals (covered by Infobip)
- Mentor and guide junior researchers and team members
Skills
Artificial Intelligence
Machine Learning
Data Science
Human-AI Collaboration
Trustworthy AI
Conversational AI
Network Optimization
Spam Detection
Fraud Detection
Voice AI
Privacy-aware AI
Generative Models
InMobi
Mobile advertising and programmatic solutions provider
About InMobi
InMobi specializes in mobile advertising and marketing technology, focusing on the automated buying and selling of ad space within mobile applications. Their platform allows media buyers and marketers to efficiently purchase ad space to reach specific audiences, while app publishers can monetize their applications by selling ad space. InMobi offers a range of advertising solutions, including demand-side platforms (DSPs) for buyers and supply-side platforms (SSPs) for publishers, along with analytics tools to enhance ad performance and minimize fraud. Unlike many competitors, InMobi also provides educational resources through InMobi U, helping clients understand the in-app programmatic ecosystem. The company's goal is to optimize ad revenue for both advertisers and publishers while establishing itself as a leader in mobile advertising education.
Kadubeesanahalli, IndiaHeadquarters
2007Year Founded
$214.6MTotal Funding
DEBTCompany Stage
Consumer Software, Education, EntertainmentIndustries
11-50Employees
Benefits
Health Insurance
Dental Insurance
Vision Insurance
401(k) Company Match
Unlimited Paid Time Off
Flexible Work Hours
Wellness Program
Free Lunch
Pet Insurance
Employee Assistance Program
Risks
Increased competition from local players like VerSe in the digital marketing space.
Potential over-reliance on debt financing could impact financial stability.
Pressure to deliver on AI-driven expansion could strain resources if not managed well.
Differentiation
InMobi offers a comprehensive suite of advertising solutions for advertisers and publishers.
The company provides advanced analytics and optimization tools to improve ad performance.
InMobi's partnership with Scope3 pioneers green media offerings, attracting eco-conscious brands.
Upsides
InMobi secured $100 million to enhance AI capabilities for sophisticated ad targeting.
The company is recognized as a 'Strong Performer' in the sell-side platform market.
InMobi's planned IPO indicates strong market confidence and potential capital for expansion.
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