212 jobs for "Engineering Manager - Ecosystem"

Senior Engineering Manager - Applied Machine Learning - AiDP

At Apple - Hyderabad

Posted on Oct 19

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Senior Manager of Software Engineering

At JPMorgan Chase - Jersey City · Palo Alto

Posted on Oct 29

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WSO2 API Management Specialist - Paris [H/F/D]

At Infosys - Paris

Posted on Oct 24

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Director, Full Stack Engineering - Corporate Services Technology

At Fidelity Investments - Westlake

Posted on Nov 5

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Lead Software Engineer - Forward Deployed Engineering, ITC

At NIKE, Inc.

Posted on Oct 29

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Senior Principal Engineering Manager / Head of Engineering

At Atlassian - Remote / Flexible

Posted on Nov 1

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Product Manager, Innovation

At Visa - London

Posted on Nov 7

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Lead Digital Product Manager (Workday)

At Allstate - Remote / Flexible

Posted on Oct 28

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Manager, Engineering - Investments Technology

At Liberty Mutual Insurance - Boston

Posted on Oct 28

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Manager, Software Development Engineer

At Equinix, Inc - Remote / Flexible

Posted on Nov 6

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TikTok Shop - Moderation Partner Operation Manager

At TikTok - London

Posted on Nov 4

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Field Service Engineer

At GE Vernova - Portsmouth

Posted on Oct 30

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Senior Manager, Technical Product Partnerships - Security, Governance & Compliance Ecosystem

At Salesforce - Remote / Flexible

Posted on Nov 6

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Sr Manager, IT Software Engineering

At Palo Alto Networks - Santa Clara

Posted on Oct 14

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Cyber Zscaler Network Security Engineering Manager / Manager, Strategy, Growth, and Transformation

At Deloitte - Atlanta · Austin

Posted on Nov 7

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Staff Technical Program Manager - Bench & HiL Ecosystem

At General Motors - Sunnyvale · Warren

Posted on Nov 3

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Senior Product Manager, Security Operations (SecOps)

At Equinix, Inc - Remote / Flexible

Posted on Oct 22

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Digital Product Manager (Multiple Levels Available)

At Allstate - Remote / Flexible

Posted on Oct 20

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Lead Technical Program Manager

At Visa - Austin

Posted on Oct 14

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Senior Engineering Manager, GTM Systems (SalesTech)

At Atlassian - Remote / Flexible

Posted on Oct 28

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Apple

Senior Engineering Manager - Applied Machine Learning - AiDP

Hyderabad, IndiaPosted 20 days ago

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The Applied Machine Learning team has been at the forefront of accelerating digital transformation through machine learning across Apple's enterprise ecosystem. The proven ML Platforms, Solutions, and Services provide a comprehensive suite of capabilities to achieve efficiency, agility, and innovation at Apple scale-serving business-critical needs across Apple's enterprise.

We are seeking a highly motivated and skilled Engineering Manager to lead and scale the Search / Information Retrieval team. The ideal candidate will have a strong foundation in Java development, a solid understanding of distributed systems, hands-on experience in Search, Information Retrieval and relevancy tuning, and a keen interest in Generative AI (GenAI). You will play a critical role in building, scaling, and maintaining next-generation systems and applications that leverage the power of Search & GenAI technologies, ensuring robust, scalable, and efficient solutions.

Description
Embark on a transformative journey as an Engineering Manager within Apple's Applied Machine Learning Team. In this role, you will be responsible for the strategic direction, technical architecture, and leadership of a high-performing engineering team. You will assume a pivotal role in building and supporting the high-performance, scalable enterprise platforms that underpin our Search, Knowledge Graph, ML and inferencing systems. You shall be entrusted with the stewardship of ensuring unparalleled availability, optimal performance, and minimal latency for our high-throughput applications, thereby directly influencing and elevating the customer experience.

Your responsibilities will encompass the development and optimal functioning of diverse workloads across ML/KG/Inference platforms, coupled with the exploration of, and building deep understanding of latest open source technologies and innovative solutions. You will bridge the gap between legacy search infrastructure (IR) and modern Generative AI capabilities to build next-generation, highly intelligent information ecosystems. A proven aptitude for outstanding interpersonal communication, a high degree of accountability and the capacity to collaborate seamlessly across multifaceted business and technical teams are paramount.

Preferred Qualifications
Deep Expertise in Search & IR - Strong understanding of classic Information Retrieval algorithms, relevance tuning, and ranking architectures (e.g. Solr, Open Search, Lucene).
Proven track record of designing systems that integrate Generative AI, RAG (Retrieval-Augmented Generation), Vector Databases, and Hybrid Search strategies.
Advanced Proficiency in Java & either Information Retrieval or Generative AI
Proven history of designing, architecting, and deploying highly available, distributed systems capable of handling massive data volumes and low-latency requirements.
Strong understanding of software engineering principles and fundamentals including data structures and algorithms.
Demonstrated ability to build, hire, and retain top-tier engineering talent. Experience managing teams of engineers across various skill levels (Junior to Senior).
Excellent ability to manage expectations and communication between executives, Product Managers, and cross-functional teams
Solid understanding of concurrency and multi-threading, multiple design patterns and debugging and analytical methodologies
Exposure to Data processing and Model Training or FineTuning methodologies
Exposure to Performance tuning JVMs
Exposure to BigData processing systems
Meaningful Contributions to OpenSource Software
Ability to foster a culture of innovation, psychological safety, and technical excellence within a fast-paced environment.

Minimum Qualifications
Bachelor's Degree in Computer Science, Information Technology or equivalent.
10+ Years of experience in Software Engineering, with at least 3+ years in a leadership or management capacity.
Proficiency in Java and in Information Retrieval and Generative AI.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology

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