ADCI

Technology

AppliedScienceManager,AlexaEdgeAI

₹45–70L ~AI est. Bengaluru, Karnataka, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Applied Science Manager, Alexa Edge AI at ADCI. Skills: Edge AI, Computer vision, Acoustic modeling, Multimodal understanding. Establish and grow applied science team. Define team's charter”

What You'll Achieve.

Deliver best in class models; Deliver resource efficient models; Power hundreds of millions of devices; Deliver experiences that feel magical; Ship science that touches millions of lives

Industry & Context.

Technology
Problems you'll solve

Tackling hard constraints

What They're Looking For.

Must Have

Master's degree and 8+ years of applied research experience, 3+ years of building machine learning models for business application experience, Experience managing and deploying ML products, Deep expertise in computer vision, Deep expertise in acoustic/speech modeling, Deep expertise in multimodal learning

Nice to Have

PhD, Experience in building and developing a high performance team, Experience with multimodal LLM for visual or speech understanding, Experience with on-device/edge ML deployment and optimization, Publication track record at top-tier ML/CV/Speech conferences

What You'll Do.

Establish and grow applied science team

Define team's charter

Define team's culture

Define technical roadmap

Foster scientific rigor

Foster rapid experimentation

Foster customer obsession

Foster operational excellence

Drive R&D of privacy preserving edge solutions

Optimize Visual recognition

Optimize Acoustic Modeling

Optimize edge deployment

Define strategies for optimizing latency

Define strategies for optimizing privacy

Define strategies for optimizing accuracy

Define strategies for optimizing cost

Collaborate with hardware teams

Collaborate with silicon teams

Co-design AI accelerators

Co-design model architectures

Own end-to-end lifecycle

Establish robust benchmarking

Establish A/B testing

Establish metrics frameworks

Measure real-world impact

Partner with engineering teams

Partner with product teams

Partner with UX teams

Translate scientific breakthroughs

Shape science roadmap

Shape technology roadmap

Represent team in science reviews

Represent team in patent filings

Represent team in publications

Build cross-site collaboration

How You'll Work.

Team & Collaboration

Cross-site collaboration; Hardware teams; Silicon teams; Engineering teams; Product teams; UX teams

Communication Scope

Org-wide science reviews; Patent filings; Publications

Process & Methodology

Roadmap planning

Full Job Description

Are you ready to build something extraordinary from the ground up? We're looking for a seasoned Applied Science Manager to establish and lead a brand-new team in Bangalore, India, within Alexa Edge AI. This is a rare greenfield opportunity to shape the future of ambient intelligence by pioneering breakthroughs in computer vision, acoustic modeling, and multimodal semantic understanding that will power hundreds of millions of Alexa-enabled devices worldwide. As an Applied Science Manager, you will architect and scale a world-class applied science team that pushes the boundaries of what's possible at the intersection of edge and cloud AI. From enabling seamless Visual ID that recognizes who's in the room, to crafting ultra-low-latency wake word detection that works flawlessly in noisy environments, to building multimodal models that build deep semantic understanding — your work will directly define how Alexa perceives, understands, and interacts with the physical world. You'll operate at the frontier of on-device ML, tackling hard constraints in compute, memory, and power while delivering experiences that feel magical to customers. If you thrive on ambiguity, love building high-performing teams from scratch, and want to ship science that touches millions of lives daily — this is your moment. Key job responsibilities Establish and grow a high-caliber applied science team from the ground up at our new Bangalore site, defining the team's charter, culture, hiring bar, and technical roadmap Recruit, mentor, and develop top-tier scientists and engineers across computer vision, speech/acoustics, and multimodal ML disciplines Foster a culture of scientific rigor, rapid experimentation, customer obsession, and operational excellence Drive R&D of privacy preserving edge solutions like Visual recognition and Acoustic Modeling (Wake Word & Audio Intelligence) optimized for edge deployment on resource-constrained hardware (custom silicon, DSPs, NPUs). Define and execute strategies

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