Job Description

Amazon is seeking highly motivated and innovative Applied Scientist I professionals to join its Artificial Intelligence and Machine Learning team in Bengaluru. This role is an outstanding opportunity for recent graduates, research enthusiasts, and early-career machine learning engineers who are passionate about solving complex real-world problems using Artificial Intelligence (AI). As an Applied Scientist I, you will contribute to the development of next-generation speech and language technologies that power millions of Amazon products and services worldwide. Working alongside globally recognized researchers and engineers, you will design advanced machine learning models, develop intelligent algorithms, and build scalable AI solutions that improve customer experiences across Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), Machine Learning (ML), Computer Vision (CV), Text-to-Speech (TTS), Machine Translation (MT), and conversational AI systems. This position offers exceptional opportunities to work with massive datasets, distributed computing infrastructure, and cutting-edge deep learning technologies while continuously expanding your research and engineering expertise.

As an Applied Scientist, you will play a critical role in researching, designing, training, evaluating, and optimizing machine learning models that solve challenging problems in speech, vision, and language understanding. You will leverage Amazon's large-scale computing platforms and diverse datasets to experiment with innovative AI architectures, improve model accuracy, and deliver production-ready solutions. The role requires strong programming skills, expertise in machine learning fundamentals, and the ability to transform research concepts into highly scalable systems. You will collaborate closely with software development engineers, research scientists, data engineers, and product teams to translate business challenges into intelligent AI-powered applications. Whether developing deep learning models, optimizing inference performance, or improving language understanding capabilities, your work will directly influence products used by millions of customers around the globe.

Working at Amazon provides an exceptional environment for continuous learning, research innovation, and technical excellence. Applied Scientists are encouraged to explore emerging technologies, publish high-quality research, and contribute to advancements in artificial intelligence through experimentation and collaboration. The company offers access to world-class infrastructure, distributed computing platforms, and experienced mentors who support professional growth across multiple AI disciplines. Beyond technical expertise, this role develops strong research methodology, analytical thinking, problem-solving, and large-scale system design capabilities. Candidates who are passionate about deep learning, natural language processing, reinforcement learning, computer vision, and scalable machine learning systems will find this role to be an exciting opportunity to build impactful AI products while advancing their careers in one of the world's leading technology organizations.

Roles & Responsibilities

• Design, develop, and implement advanced machine learning algorithms that improve the performance, scalability, and intelligence of Amazon's AI-powered products and services across multiple business domains.
• Conduct research in Artificial Intelligence, Machine Learning, Natural Language Processing, Automatic Speech Recognition, Computer Vision, and related fields to develop innovative solutions for complex business challenges.
• Build, train, evaluate, and optimize deep learning models using large-scale datasets while improving model accuracy, inference speed, robustness, and production performance.
• Collaborate with software development engineers, research scientists, data engineers, and product managers to translate research ideas into scalable, production-ready AI solutions.
• Analyze structured, unstructured, speech, image, and text data to extract meaningful insights and develop intelligent systems capable of solving real-world customer problems.
• Perform extensive experimentation, model evaluation, feature engineering, hyperparameter tuning, and performance benchmarking to continuously improve machine learning models.
• Develop scalable AI systems capable of handling millions of customer interactions while ensuring high availability, reliability, security, and operational efficiency.
• Stay updated with emerging research papers, industry trends, academic publications, and breakthrough developments in Artificial Intelligence and Machine Learning to drive continuous innovation.
• Document research findings, technical designs, experimental results, and implementation methodologies while contributing to internal knowledge sharing and engineering best practices.
• Work closely with cross-functional global teams to deploy machine learning models into production, monitor their effectiveness, troubleshoot issues, and continuously enhance customer experiences.

Requirements & Eligibility

• A Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, Mathematics, Statistics, or a related quantitative discipline is preferred.
• Strong understanding of machine learning concepts, including supervised learning, unsupervised learning, reinforcement learning, deep learning, model training, inference pipelines, and evaluation methodologies.
• Hands-on experience in one or more AI domains such as Machine Learning, Natural Language Processing (NLP), Computer Vision (CV), Automatic Speech Recognition (ASR), Reinforcement Learning, or Large Language Models (LLMs).
• Proficiency in at least one programming language such as Python, Java, C++, Scala, or another language commonly used for developing machine learning applications.
• Good understanding of deep learning frameworks such as TensorFlow, PyTorch, MXNet, JAX, or similar platforms used for developing and deploying neural network models.
• Familiarity with distributed computing technologies including Apache Spark, Hadoop, distributed training environments, or large-scale cloud-based machine learning infrastructure is considered an advantage.
• Knowledge of data preprocessing, feature engineering, statistical analysis, optimization techniques, and model performance evaluation is highly desirable for building robust AI solutions.
• Candidates with research publications in internationally recognized conferences or journals such as NeurIPS, ICML, ICLR, ACL, EMNLP, ICASSP, CVPR, or similar venues will receive additional preference.
• Excellent analytical thinking, mathematical reasoning, problem-solving ability, research aptitude, and communication skills are essential for collaborating with multidisciplinary engineering and research teams.
• A passion for innovation, continuous learning, experimentation, and applying cutting-edge Artificial Intelligence technologies to solve challenging real-world problems is highly valued by Amazon.

Expected Salary

The estimated salary for an Applied Scientist I at Amazon in Bengaluru generally ranges between ₹22 LPA and ₹38 LPA, depending on academic qualifications, research background, technical expertise, publications, internship experience, and interview performance. Candidates with advanced degrees, strong machine learning projects, competitive programming achievements, or research publications in leading AI conferences may receive higher compensation packages that include performance bonuses, stock awards (RSUs), comprehensive healthcare benefits, and long-term career development opportunities.

🚨 Stop Scrolling – This Could Be Your Shortcut to Interviews

Most candidates apply to 100+ jobs and never hear back.
The real reason? They don’t know where recruiters are actually hiring from.

Our April Hiring PDF includes verified HR emails and hiring details from companies like:

Dentsu, IBM, HCL, PwC, LTIMindtree, Wipro, Cognizant, Deloitte, Capgemini, Amazon, TCS, Infosys, EPAM, EY, NTT Data, Tech Mahindra, Fractal, GlobalLogic, Coforge, UST and many more.

Inside you’ll find:
✔ 300+ Fresher Job Opportunities
✔ 2500+ Verified HR Emails & Contacts
✔ Direct Hiring + Consultancy Openings
✔ IT & Non-IT Roles

🔥 60+ students placed recently using these hiring leads

👉 Grab the April Hiring List Now: April Hiring PDF