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applied scientist ii last mile science

Amazon

<div>
 
 Description
 
 
 
 Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the WW Amazon Logistics, Business Analytics team is for you. We manage the delivery of tens of millions of products every week to Amazon&rsquo;s customers, achieving on-time delivery in a cost-effective manner.
 
 
 We are looking for an enthusiastic, customer obsessed, Applied Scientist with good analytical skills to help manage projects and operations, implement scheduling solutions, improve metrics, and develop scalable processes and tools. The primary role of an Operations Research Scientist within Amazon is to address business challenges through building a compelling case, and using data to influence change across the organization. This individual will be given responsibility on their first day to own those business challenges and the autonomy to think strategically and make data driven decisions. Decisions and tools made in this role will have significant impact to the customer experience, as it will have a major impact on how the final phase of delivery is done at Amazon.
 
 
 Candidates will be a high potential, strategic and analytic graduate with a PhD in (Operations Research, Statistics, Engineering, and Supply Chain) ready for challenging opportunities in the core of our world class operations space. Great candidates have a history of operations research, and the ability to use data and research to make changes.
 
 
 This role requires robust program management skills and research science skills in order to act on research outcomes. This individual will need to be able to work with a team, but also be comfortable making decisions independently, in what is often times an ambiguous environment.
 
 
 
 Responsibilities May Include
 
 
 
 <ul>
 <li>
 Develop input and assumptions based preexisting models to estimate the costs and savings opportunities associated with varying levels of network growth and operations
 </li>
 <li>
 Creating metrics to measure business performance, identify root causes and trends, and prescribe action plans
 </li>
 <li>
 Managing multiple projects simultaneously
 </li>
 <li>
 Working with technology teams and product managers to develop new tools and systems to support the growth of the business
 </li>
 <li>
 Communicating with and supporting various internal stakeholders and external audiences
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 3+ years of building models for business application experience
 </li>
 <li>
 PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
 </li>
 <li>
 Experience in patents or publications at top-tier peer-reviewed conferences or journals
 </li>
 <li>
 Experience programming in Java, C++, Python or related language
 </li>
 <li>
 Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience using Unix/Linux
 </li>
 <li>
 Experience in professional software development
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI - Karnataka - A66
 
 
 Job ID: A3158642
</div>

Applied Scientist II, Last Mile Science

Target

<div>
 
 
 
 About Target
 
 
 
 
 
 
 
 As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful.
 
 
 
 
 
 About the Team Supply Chain Network Optimization (SCNO) is a global team and part of Integrated Operations Planning &amp; Network steering within Global Supply Chain and Logistics. We are at the forefront of defining and enabling an efficient, reliable and best in class supply chain. This team uses a wide variety of engineering and advanced applied mathematical techniques (5Why&rsquo;s, ML, AI, OR, MILP, DES,) techniques to study and solve niche problems in supply chain across the entire value chain (Purchasing, transportation, Multi echelon inventory, last mile and process optimization) to enable the best guest experience and profitable growth for Target.
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 As a Lead Operations Research Scientist in SCNO, you will tackle complex supply chain challenges, develop a deep understanding of problem complexity, and drive cutting-edge solutions. This role requires strong experience working with large data sets, advanced programming skills, and a solid foundation in statistics, probability theory, machine learning, AI, simulations, and operations research.
 
 
 
 
 
 You will be expected to work effectively on high-visibility problems that come with inherent risks,
 
 
 roadblocks, and constraints, while collaborating closely with cross-functional stakeholders. You will also be accountable for planning and delivering team projects, ensuring alignment across teams, and driving measurable impact.
 
 
 
 
 
 
 Key responsibilities include:
 
 
 
  Actively engaging with cross-functional stakeholders to understand and frame business
 
 
 problems.
 
 
  Building a deep understanding of problem complexity, addressing both breadth and depth.
 
 
  Finding, gathering, analyzing, and processing large data sets efficiently by developing robust and scalable programs.
 
 
  Developing and applying advanced operations research techniques, AI, and machine learning to solve business challenges.
 
 
  Running complex simulations, conducting scenario analyses, and employing optimization
 
 
 methods.
 
 
  Planning and developing project charters with clearly defined milestones and success metrics.
 
 
  Ensuring cross-functional alignment, removing blockers, and accelerating project delivery.
 
 
  Communicating insights effectively through clear and concise data storytelling to influence
 
 
 decision-making.
 
 
 
 
 
 Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs
 
 
 
 
 
 
 About You
 
 
 
  8+ years of professional experience with a bachelor&rsquo;s or master&rsquo;s degree (5+ years for a PhD) in Mathematics, Statistics, Computer Science or a related field.
 
 
  4+ years of experience with programming in Python, PySpark, R, SQL and open-source data science tools.
 
 
  4+ years of experience applying advanced data science and operations research techniques.
 
 
  Hands on experience with AI and machine learning, including working with large language models and modern ML frameworks.
 
 
  Strong problem-solving skills with the ability to address business challenges creatively.
 
 
  Skilled in cleaning, transforming, and analyzing large datasets to generate insights.
 
 
  Passionate about continuous learning and empirical research, with excellent communication skills, both written and verbal.
 
 
  Retail and supply chain experience is a plus.
 
 
  Team-oriented with the ability to collaborate effectively across locations and time zones.
 
 
  Strong written and verbal communication skills.
 
 
 
 
 
 
 Why Work with Us at Target?
 
 
 
  Work on advanced analytics and data science projects that directly impact Target&rsquo;s global supply chain, including inventory and capacity planning, transportation efficiency, and purchasing
 
 
 strategies.
 
 
  We support your professional growth through learning and development opportunities, powering you take courses in Data Science, Supply Chain, Operations Research, and other subjects.
 
 
  We value diversity and inclusion, fostering an environment that contributes to positive customer experiences.
 
 
  We offer flexible work schedules and arrangements, allowing team members to succeed both at work and in their personal lives in a hybrid setting.
 
 
 
 
 
 
 Useful Links to Learn More About Target and Our Benefits
 
 
 
  Life at Target: https://india.target.com/
 
 
  Benefits: https://india.target.com/life-at-target/workplace/benefits
 
</div>

Lead Operations Research Scientist

Uber

<div>
 
 About The Role
 
 
 
 
 We are seeking a highly skilled and motivated Staff Data Scientist to join our Applied AI Team.
 
 In this role, you will work together with the team building our Merchant agent tool. This tool aims to scale easy-to-use, personalized support to our merchants to help them better succeed on our marketplace.
 
 
 <ul>
 <li>
 What the Candidate Will Do ----
 </li>
 <li>
 Design, develop and interpret agentic models via analyses and experiments to evaluate their effectiveness.
 </li>
 <li>
 Feed these insights back to shape the technical execution and strategic direction.
 </li>
 <li>
 Develop data-driven insights to identify opportunities to improve the product or build new products.
 </li>
 <li>
 Present findings to various constituents: technical, business and executive audiences.
 </li>
 <li>
 Basic Qualifications ----
 </li>
 <li>
 Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields.
 </li>
 <li>
 Minimum 5 years of industry experience as a Data Scientist or equivalent.
 </li>
 <li>
 Experience in experimental design and analysis, exploratory data analysis and statistical analysis.
 </li>
 <li>
 Ability to use Python/R to work efficiently at scale with large data sets.
 </li>
 <li>
 Proficiency in SQL.
 </li>
 <li>
 Preferred Qualifications
 </li>
 <li>
 Experience managing projects across large, ambiguous scopes and driving initiatives in a fast moving, cross-functional environment.
 </li>
 <li>
 Expertise in synthesizing complex technical analyses into clear insights to influence product direction.
 </li>
 <li>
 Excellent communication skills across technical, non-technical, and executive audiences.
 </li>
 </ul>
</div>

Staff Scientist, UberEats Merchant AI

<div>
 
 Description
 
 
 
 At Amazon we are building an excellent last mile operation in India, significantly complimented by Amazon Flex. Amazon Flex works directly with independent contractors (IC) &ndash; called delivery partners (DP) &ndash; to make deliveries to our customers. With Amazon Flex, partners are their own bosses - they can build their own schedules and choose from different types of opportunities (scheduled-ahead blocks, instant offers), all while making great earnings. Amazon Flex is powered by a mobile app, that works in concert with our advanced systems, allowing partners to sign in, grab an offer for a time, check out a map of the location, and more.
 
 
 In this role, you will be a part of a program team working on delivering last mile capacities as a program manager
 
 
 Program Manager
 
 
 <ul>
 <li>
 Define, design, launch and manage new transportation related programs in India, within Amazon Flex &amp; I.H.S &ndash; primarily hyperlocal, and on-demand business lines
 </li>
 <li>
 Gather requirements and conceptualize a product and program solutions to solve business problems, sustainably.
 </li>
 <li>
 Work with key stakeholders across various functions to define, launch and drive programs
 </li>
 <li>
 Will work as the bridge between operations and support teams like finance, global business operations teams, product teams, field operations
 </li>
 <li>
 Be the gate keeper of driver experience for the business lines, and balance this by co-owning cost and business goals
 </li>
 <li>
 Will positively impact the operating cost through technology and process interventions
 </li>
 <li>
 Will rely on influence (over authority) to align multiple WW and IN stake holders, to drive complex, medium to large projects. S/he will build the right scale mechanisms in a highly ambiguous environment, balancing between quality and pace of execution, with right framework to protect large business goals.
 </li>
 <li>
 Interact with senior IN and WW leaders, in discussions and through well written narratives
 </li>
 <li>
 Launch and expand the program as per Amazon&rsquo;s requirements while being responsible for all customer satisfaction, performance, compliance, accounting and financial related metrics.
 
 
 </li>
 </ul>
 
 Requirement
 
 
 
 <ul>
 <li>
 Mature, structured thought process, with strong program and stakeholder management skills &ndash; role offers a broad exposure to various business, financial, and technical teams within Amazon
 </li>
 <li>
 Strong ownership, and bias for action to understand problems, find new and innovative solutions, and partner with teams to execute and deliver sustained results
 </li>
 <li>
 Excellent data analysis and interpretation abilities, and product understanding, to understand core issues, and create a roadmap for sustainable business growth
 </li>
 <li>
 Excellent communication skills, ability to write convincing narratives and engage senior IN and WW stakeholders
 </li>
 <li>
 Drive for excellence, continuously raising the bar, to make the IN programs best across Amazon. Not satisfied with status quo.
 </li>
 <li>
 Thorough understanding about last mile delivery operation processes is a plus
 </li>
 <li>
 Externally aware, and nimble to quickly learn, understand new processes / changes, assess impacts, and take independent calls
 </li>
 <li>
 Strong judgement and decision-making skills to balance customer experience with financial impact
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 2+ years of program or project management experience
 </li>
 <li>
 2+ years of working cross functionally with tech and non-tech teams experience
 </li>
 <li>
 Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL
 </li>
 <li>
 2+ years of managing stakeholders in cross-functional project experience
 </li>
 <li>
 Bachelor's degree
 </li>
 <li>
 Experience defining program requirements and using data and metrics to determine improvements
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 2+ years of driving end to end delivery, and communicating results to senior leadership experience
 </li>
 <li>
 2+ years of driving process improvements experience
 </li>
 <li>
 Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
 </li>
 <li>
 Experience building processes, project management, and schedules
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ATSPL - Karnataka
 
 
 Job ID: A3136348
</div>

City Manager, Amazon Flex

<div>
 
 Description
 
 
 
 Alexa+ is Amazon&rsquo;s next-generation, AI-powered virtual assistant. Building on the original Alexa, it uses generative AI to deliver a more conversational, personalised, and effective experience. Alexa Sensitive Content Intelligence (ASCI) team is developing responsible AI (RAI) solutions for Alexa+, empowering it to provide useful information responsibly. The team is currently looking for Senior Applied Scientists with a strong background in NLP and/or CV to design and develop ML solutions in the RAI space using generative AI across all languages and countries.
 
 
 A Senior Applied Scientist will be a tech lead for a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in NLP or CV related tasks. You will work in a dynamic, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. You will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon. Your work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies.
 
 
 We are looking for a leader with strong technical experiences a passion for building scientific driven solutions in a fast-paced environment. You should have good understanding of Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing where to apply them in different business cases. You leverage your exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience of building large-scale distributed systems to creating reliable, scalable, and high-performance products. In addition to technical depth, you must possess exceptional communication skills and understand how to influence key stakeholders.
 
 
 You will be joining a select group of people making history producing one of the most highly rated products in Amazon's history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Define and own the scientific vision and roadmap for ML solutions for building end-to-end Responsible AI solutions
 </li>
 <li>
 Lead and grow a high-performing team of Applied Scientists, providing technical guidance, mentorship, and career development.
 </li>
 <li>
 Guide model and system design to build innovative ML solutions at Alexa scale using state-of-the-art NLP and CV techniques.
 </li>
 <li>
 Ensure models are production-ready, scalable, and robust through close partnership with stakeholders. Partner with Product, Operations, and Engineering leaders to enable proactive decision-making and corrective actions.
 </li>
 <li>
 Own end-to-end business metrics, directly influencing customer experience and trust.
 </li>
 <li>
 Help contribute to the broader ML community through publications, conference submissions, and internal knowledge sharing.
 
 
 </li>
 </ul>
 A day in the life
 
 
 As an Applied Science Manager on the Alexa Sensitive Content team, you'll lead a team of scientists and ML engineers building AI systems that keep Alexa safe and trustworthy for millions of users worldwide. Your role combines technical leadership with strategic decision-making and collaborating with product teams and policy experts to deliver engaging and safe experiences across Amazon devices. You'll stay current with advances in generative AI to design, develop, and own state-of-the-art NLP solutions. You will be coaching scientists to identify and mitigate risks early, building more robust ML systems. You'll balance near-term delivery with long-term innovation, ensuring solutions are robust, interpretable, and scalable. Your work directly impacts delivery reliability, cost efficiency, and customer experience at massive scale.
 
 
 
 About The Team
 
 
 
 The mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics.
 
 
 The term &ldquo;sensitive content&rdquo; includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term &ldquo;content&rdquo; refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 3+ years of scientists or machine learning engineers management experience
 </li>
 <li>
 Knowledge of ML, NLP, Information Retrieval and Analytics
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience building machine learning models or developing algorithms for business application
 </li>
 <li>
 Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
 </li>
 <li>
 PhD
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI - BLR 14 SEZ
 
 
 Job ID: A3157100
</div>

Applied Science Manager, Alexa Sensitive Content Intelligence (ASCI)

Porter

<div>
 
 
 Porter: Creating Impactful Journeys
 
 
 
 
 
 
 At Porter, we're not just passionate about improving productivity; we're on a vision to Moving a billion dreams one delivery at a time. We empower businesses, both large and small, to optimize their operations and unleash unprecedented growth in their core functions. Join us in pioneering the future of last-mile logistics, one that's poised to disrupt the industry and redefine the way we think about transportation.
 
 
 
 
 
 
 Why Porter?
 
 
 
 
 
 <ul>
 <li>
 Industry Leadership: As the fastest-growing leader in last-mile logistics, we have a pan India and International presence with operations spanning multiple cities. With a fleet size exceeding 750k driver partners and 15 million customers. Porter is at the forefront of this dynamic and rapidly expanding sector.
 </li>
 <li>
 Cutting-Edge Technology: Our industry-best technology platform has garnered over $150 million in investments from renowned backers, including Sequoia Capital, Kae Capital, Mahindra Group, LGT Aspada, Tiger Global, and Vitruvian Partners. We leverage technology to drive efficiency, innovation, and unparalleled service.
 </li>
 <li>
 Ambitious: We're not just solving problems; we're addressing a massive challenge and going after a market with a valuation surpassing $50 billion USD. Our ambition extends beyond last-mile delivery; we aim to disrupt all facets of logistics, including warehousing and LTL transportation.
 </li>
 <li>
 Thriving Community: Join a community of passionate individuals who are committed to doing the best work of their lives. At Porter, we value the spirit of collaboration, innovation, and embracing challenges head-on.
 </li>
 </ul>
 
 
 
 
 
 Be a Part of Something Extraordinary:
 
 
 
 
 
 
 If you're ready to make an impact, be at the forefront of innovation, and embrace the challenges and opportunities of a fast-paced work environment, Porter is the place for you. We're not just building a brand; we're creating a household name in transportation. Join us and be part of the revolution &ndash; where every day is an opportunity to redefine what's possible.
 
 
 If you are ready to make a significant impact and shape the future of Porter, apply now and be part of our exciting journey!
 
 
 
 
 
 
 Company URL: https://porter.in/
 
 
 
 
 
 
 
 Role Overview
 
 
 
 
 
 
 The Sr. Manager &ndash; Operations will lead and scale day-to-day operations for the Packers &amp; Movers business across multiple categories (Intercity, Intracity) across Pan India (Spread across 10 cities and expanding ).
 
 
 The role demands strong execution capabilities, people leadership, and the ability to translate business vision into operational excellence. The ideal candidate is someone who has multi-city operations in an experienced-focused business, managed high-performing teams, and has good comfort with data, and most importantly has the ability to understand ground realities well.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 1. Operations Management
 
 
 <ul>
 <li>
 Drive day-to-day operations across business verticals with strong execution discipline.
 </li>
 <li>
 Plan supply for projected demand and ensure quality and operational standards.
 </li>
 <li>
 Allocate and manage city teams for on ground operational execution.
 </li>
 </ul>
 
 
 
 
 
 2. SOPs, GTMs &amp; Process Excellence
 
 
 <ul>
 <li>
 Implement SOPs and execute GTMs for new product launches and process rollouts.
 </li>
 <li>
 Identify operational inefficiencies and drive improvements in partnership with Product, Analytics, and Central teams.
 </li>
 <li>
 Ensure adherence to standards around quality, turnaround times, and customer experience.
 </li>
 </ul>
 
 
 
 
 
 3. Business &amp; Category Leadership
 
 
 <ul>
 <li>
 Lead geographic and category expansion by collaborating with cross-functional stakeholders.
 </li>
 <li>
 Manage P&amp;L for assigned categories along with other business co-owners.
 </li>
 <li>
 Build and execute strategic objectives (e.g. NPS improvement, New launches).
 </li>
 </ul>
 
 
 
 
 
 4. Market Intelligence &amp; Strategy
 
 
 <ul>
 <li>
 Track market trends around pricing, competition, and service quality to define short to medium (1 day- 6 months) term strategies
 </li>
 <li>
 Bring a strong eye for detail to understand micro-market nuances and routes, and tailor strategies accordingly for growth and customer experience.
 </li>
 </ul>
 
 
 
 
 
 5. Escalation &amp; Risk Management
 
 
 <ul>
 <li>
 Enable teams to handle escalations with excellence an discipline, identify recurring patterns, and drive long-term structural fixes.
 </li>
 <li>
 Ensure effective governance mechanisms for city operations.
 </li>
 </ul>
 
 
 
 
 
 6. Vision &amp; Roadmap
 
 
 <ul>
 <li>
 Create a clear operational vision and detailed roadmap for business excellence.
 </li>
 <li>
 Influence and lead multi-city teams through structured planning, communication, and performance management.
 </li>
 </ul>
 
 
 
 
 
 Skills &amp; Competencies
 
 
 
 
 
 
 
 Must-Have
 
 
 
 
 
 <ul>
 <li>
 Strong people leadership; prior experience handling a team of managers is essential.
 </li>
 <li>
 Experience managing multi-city operations with at least 20+ member teams.
 </li>
 <li>
 Excellent communication skills, with the ability to influence both leadership and ground teams.
 </li>
 <li>
 High comfort in using data and ground intelligence for decision-making.
 </li>
 <li>
 Deep on-ground bias with a roll-up-your-sleeves attitude and the willingness to travel to uncover and address real issues.
 </li>
 </ul>
 
 
 
 
 
 Good-to-Have
 
 
 
 
 
 <ul>
 <li>
 Experience in logistics, mobility, supply chain, or marketplace operations.
 </li>
 <li>
 Exposure to category management roles involving both strategy and execution.
 </li>
 <li>
 Ability to work cross-functionally and manage multiple stakeholders.
 </li>
 </ul>
</div>

Sr. Manager – Operations

Microsoft

<div>
 
 Overview
 
 
 
 We are looking for Applied Scientist with expertise in areas like Machine Learning, Deep learning, Large Language Models, Reinforcement Learning, Causal Inference to join our team at Microsoft Ads India. This role offers a unique opportunity to work on some of the most complex and high-impact challenges in online advertising, where your innovations will directly shape user experience, advertiser success, and the future of the digital advertising ecosystem.
 
 
 At Microsoft Ads, you'll be solving web-scale optimization problems, from selecting relevant ads to modeling user interaction with ad content. The models and solutions you develop will impact millions of users daily and drive revenue growth for Microsoft ads and the Microsoft Ads platform. This is a great opportunity for someone passionate about artificial intelligence, optimization at scale, and transformative innovation.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Drive AI innovation: Lead the development of cutting-edge models that select and rank ads, predict user interaction, and optimize advertiser outcomes. You will leverage and advance Deep Learning, Reinforcement Learning, Causal Inference, and other techniques to solve complex problems.
 </li>
 <li>
 Optimize at scale: Design, build, and deploy models that operate at web scale, ensuring they are robust, scalable, and high performing in real-world settings. You will directly improve user engagement, ad relevance, and advertiser return on.
 </li>
 <li>
 Perform large-scale online and offline experiments to continuously optimize and validate model performance, ensuring real-time impact on user and advertiser experiences.
 </li>
 <li>
 Work closely with worldwide research, engineers, data scientists, and product teams to integrate your solutions into Microsoft Ads systems, driving cross-team collaboration and delivering impactful end-to-end solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's &amp; Masters Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.
 </li>
 <li>
 Experience with large-scale models and deep learning algorithms and frameworks such as PyTorch.
 </li>
 <li>
 Experience building, deploying, and optimizing large-scale AI/ML models in real-world applications, especially in NLP, Information Retrieval, or Computer Vision.
 </li>
 <li>
 Publications in top-tier conferences like NeurIPS, ICML, CVPR, SIGIR, KDD, ACL, EMNLP, ICLR, WWW, WSDM or similar, demonstrating expertise in advancing the field.
 </li>
 <li>
 Experience in online advertising, search engines, or recommendation systems and game theory and mechanism design.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 PhD in Machine Learning, AI, or related fields.
 </li>
 <li>
 Experience working with large language models / multi-billion parameter models, focusing on their efficient training and online inference.
 </li>
 <li>
 Background in developing or modifying deep learning algorithms/architectures to improve computational and memory efficiency.
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Applied Scientist II

Explore 130+ Applied scientist ii last mile science in Mangaluru this January. Find roles across top companies and apply now to boost your career.