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freelance machine learning engineer python

Mindrift

<div>
 
 
 This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.
 
 
 
 
 At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.
 
 
 
 What We Do
 
 
 
 The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.
 
 
 
 About The Role
 
 
 
 GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you'll have the opportunity to collaborate on these projects.
 
 
 Although every project is unique, you might typically:
 
 
 <ul>
 <li>
 Design original computational STEM problems that simulate real scientific workflows
 </li>
 <li>
 Create problems that require Python programming to solve
 </li>
 <li>
 Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)
 </li>
 <li>
 Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches
 </li>
 <li>
 Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn)
 </li>
 <li>
 Document problem statements clearly and provide verified correct answers
 
 
 </li>
 </ul>
 
 How To Get Started
 
 
 
 Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you'll help shape the future of AI while ensuring technology benefits everyone.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 You hold a Master's or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field
 </li>
 <li>
 You have at least 5 years of Machine Learning experience with proven business impact
 </li>
 <li>
 Strong programming skills in Python (numpy, pandas, scipy, sklearn)
 </li>
 <li>
 Solid understanding of numerical methods and computational algorithms
 </li>
 <li>
 Research or industry experience involving computational problem-solving
 </li>
 <li>
 Your level of English is advanced (C1) or above
 </li>
 <li>
 You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines
 </li>
 <li>
 Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 Why this freelance opportunity might be a great fit for you?
 
 
 
 <ul>
 <li>
 Get paid for your expertise, with rates that can go up to $15/hour depending on your skills, experience, and project needs
 </li>
 <li>
 Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments
 </li>
 <li>
 Work on advanced AI projects and gain valuable experience that enhances your portfolio
 </li>
 <li>
 Influence how future AI models understand and communicate in your field of expertise
 </li>
 </ul>
</div>

Freelance Machine Learning Engineer (Python)

Amazon

<div>
 
 Description
 
 
 
 Are you passionate about solving complex logistics challenges? Our Analytics team is at the forefront of enhancing delivery experiences through data-driven solutions and innovative technology. As a Research Scientist, you will join a team dedicated to optimizing our delivery network, ensuring reliable and efficient service to our customers. We are seeking an enthusiastic, customer-centric professional with strong analytical capabilities to drive impactful projects, implement advanced solutions, and develop scalable processes.
 
 
 In this role, you will have immediate ownership of business-critical challenges and the opportunity to make strategic, data-driven decisions that shape the future of our delivery operations. Your work will directly influence customer experience and operational excellence. The ideal candidate will possess both research science capabilities and program management skills, thriving in an environment that requires independent decision-making and comfort with ambiguity.
 
 
 This role offers the opportunity to make a significant impact on our advanced logistics network while working with pioneering technology and data science applications.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 3+ years of building machine learning models for business application experience
 </li>
 <li>
 Knowledge of programming languages such as C/C++, Python, Java or Perl
 </li>
 <li>
 Experience programming in Java, C++, Python or related language
 </li>
 <li>
 Experience with neural deep learning methods and machine learning
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
 </li>
 <li>
 3+ years of extensive relevant research experience
 </li>
 <li>
 Deep expertise in Machine Learning
 </li>
 <li>
 Proficiency in programming
 </li>
 <li>
 Core competency in mathematics and statistics
 </li>
 <li>
 Track record of successful projects in algorithm design and product development
 </li>
 <li>
 Publications at peer-reviewed conferences or journals
 </li>
 <li>
 Strategic thinker with good execution skills
 </li>
 <li>
 Exhibits excellent business judgment
 </li>
 <li>
 Effective verbal and written communication skills
 </li>
 <li>
 Experience working with real-world data sets and building scalable models from big data
 </li>
 <li>
 Experience with modern modeling tools and frameworks such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow
 </li>
 <li>
 Experience with large scale distributed systems
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 3+ years of building machine learning models for business application experience
 </li>
 <li>
 Knowledge of programming languages such as C/C++, Python, Java or Perl
 </li>
 <li>
 Experience programming in Java, C++, Python or related language
 </li>
 <li>
 Experience with neural deep learning methods and machine learning
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
 </li>
 <li>
 3+ years of relevant, broad research experience
 </li>
 <li>
 Deep expertise in Machine Learning
 </li>
 <li>
 Proficiency in programming
 </li>
 <li>
 core competency in mathematics and statistics.
 </li>
 <li>
 Track record of successful projects in algorithm design and product development.
 </li>
 <li>
 Publications at top-tier peer-reviewed conferences or journals.
 </li>
 <li>
 prior experience with mentorship and/or management of scientists
 </li>
 <li>
 Thinks strategically, but stays on top of tactical execution.
 </li>
 <li>
 Exhibits excellent business judgment; balances business
 </li>
 <li>
 Effective verbal and written communication skills
 </li>
 <li>
 Experience working with real-world data sets and building scalable models from big data.
 </li>
 <li>
 Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow,
 </li>
 <li>
 Experience with large scale distributed systems
 
 
 </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
 
 
 Job ID: A3075733
</div>

Research Scientist, Last Mile Science

PwC India

<div>
 
 
 Line of Service
 
 
 Tax
 
 
 
 
 Industry/Sector
 
 
 Not Applicable
 
 
 
 
 Specialism
 
 
 Operations
 
 
 
 
 Management Level
 
 
 Associate
 
 
 
 
 Job Description &amp; Summary
 
 
 A career within Regulatory Risk and Compliance services, will provide you with the opportunity to help companies rethink their approach to risk and create a sustainable risk advantage. We&rsquo;re a part of a unique client proposition, assisting our clients develop proper internal controls by leveraging analytics and technology solutions to underpin efficient execution of governance, to optimise their risk and compliance policies and processes, and improve business performance.
 
 
 
 
 Job Description &amp; Summary
 
 
 
 
 
 
 
 Why PWC
 
 
 
 
 
 
 
 
 At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more&nbsp;
 
 about us
 
 .
 
 
 
 
 A career within
 
 GenAI Data Scientist / Python Developer
 
 , will provide you with the opportunity to help our clients leverage Salesforce technology to enhance their customer experiences.
 
 
 We are seeking a skilled and innovative GenAI Data Scientist/Python Developer to join our dynamic team. The ideal candidate will have deep expertise in developing, deploying, and optimizing AI models with a strong emphasis on Generative AI. You will work closely with cross-functional teams to create advanced data-driven solutions that address complex business challenges.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 
 Model Development and Deployment:
 
 <ul>
 <li>
 Design, develop, and implement Generative AI models (such as GPT, GANs, VAEs) for various applications.
 </li>
 <li>
 Optimize and fine-tune AI models for performance, scalability, and accuracy.
 </li>
 <li>
 Deploy AI models into production environments using cloud platforms (AWS, GCP, Azure) and MLOps practices.
 </li>
 </ul>
 </li>
 <li>
 
 Data Science and Analysis:
 
 <ul>
 <li>
 Perform data preprocessing, feature engineering, and exploratory data analysis (EDA).
 </li>
 <li>
 Develop and validate predictive models using machine learning techniques.
 </li>
 <li>
 Utilize statistical methods and algorithms to analyze large datasets and extract meaningful insights.
 </li>
 </ul>
 </li>
 <li>
 
 Python Development:
 
 <ul>
 <li>
 Write clean, efficient, and scalable Python code for AI model development and deployment.
 </li>
 <li>
 Build and maintain data pipelines, APIs, and automation scripts.
 </li>
 <li>
 Integrate AI models with existing software systems and services.
 </li>
 </ul>
 </li>
 <li>
 
 Collaboration and Communication:
 
 <ul>
 <li>
 Work closely with data engineers, product managers, and stakeholders to understand business needs and translate them into technical requirements.
 </li>
 <li>
 Present findings, model performance, and insights to both technical and non-technical audiences.
 </li>
 <li>
 Contribute to research and development efforts, staying up-to-date with the latest advancements in AI and data science.
 </li>
 </ul>
 <li>
 
 </li>
 *
 
 
 Mandatory skill sets
 
 
 &nbsp;
 
 <ul>
 <li>
 
 Technical Skills:
 
 <ul>
 <li>
 Proficient in Python, with a strong understanding of libraries such as TensorFlow, PyTorch, scikit-learn, and pandas.
 </li>
 <li>
 Experience with Generative AI models (e.g., GPT, GANs) and natural language processing (NLP).
 </li>
 <li>
 Strong background in machine learning, deep learning, and statistical modeling.
 </li>
 <li>
 Familiarity with cloud computing platforms (AWS, GCP, Azure) and MLOps tools.
 </li>
 <li>
 Experience with version control (Git) and CI/CD pipelines.
 </li>
 </ul>
 </li>
 <li>
 
 Soft Skills:
 
 <ul>
 <li>
 Strong problem-solving skills and attention to detail.
 </li>
 <li>
 Ability to work independently as well as collaboratively in a team environment.
 </li>
 <li>
 Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
 </li>
 </ul>
 </li>
 <li>
 Experience in developing AI solutions for specific industries (e.g., Pharma, finance, retail).
 </li>
 <li>
 Publications or contributions to AI/ML communities or conferences.
 </li>
 <li>
 Familiarity with containerization and orchestration tools (Docker, Kubernetes)
 
 
 </li>
 </ul>
 
 
 
 
 *Preferred skill sets
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Soft Skills:
 
 
 
 
 <ul>
 <li>
 
 
 
 Strong problem-solving skills and attention to detail.
 
 
 
 </li>
 <li>
 
 
 
 Ability to work independently as well as collaboratively in a team environment.
 
 
 
 </li>
 <li>
 
 
 
 Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
 
 
 
 </li>
 </ul>
 </li>
 <li>
 
 
 
 Experience in developing AI solutions for specific industries (e.g., Pharma, finance, retail).
 
 
 
 </li>
 <li>
 
 
 
 Publications or contributions to AI/ML communities or conferences.
 
 
 
 
 </li>
 </ul>
 
 
 
 Familiarity with containerization and orchestration tools (Docker, Kubernetes
 
 
 
 
 
 
 
 *Year of experience required
 
 
 &nbsp;
 
 <ul>
 <li>
 3+ years of experience in data science, AI, or machine learning roles.
 </li>
 <li>
 Proven track record of deploying AI models in production environments.
 </li>
 <li>
 Experience in working with large datasets and big data technologies
 
 
 </li>
 </ul>
 
 
 *Educational Qualification
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Engineering, or a related field.
 
 </li>
 </ul>
 &nbsp;&nbsp;
 
 
 
 
 
 Education
 
 
 
 
 (if blank, degree and/or field of study not specified)
 
 
 
 Degrees/Field of Study required: Bachelor Degree, Master of Engineering, Master of Business Administration, Master Degree, Bachelor of Engineering
 
 
 Degrees/Field of Study preferred:
 
 
 
 
 
 Certifications
 
 
 
 
 (if blank, certifications not specified)
 
 
 
 
 
 Required Skills
 
 
 Git, Machine Learning Operations, Natural Language Processing (NLP), Python (Programming Language)
 
 
 
 Optional Skills
 
 
 
 
 
 
 Desired Languages
 
 
 
 
 (If blank, desired languages not specified)
 
 
 
 
 
 
 Travel Requirements
 
 
 
 
 
 Available for Work Visa Sponsorship?
 
 
 
 
 
 Government Clearance Required?
 
 
 
 
 
 Job Posting End Date
 
 
 
 
 
 
 
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
</div>

Associate

<div>
 
 Description
 
 
 
 Our organization builds the data foundations that power the future of online shopping. With ever expanding selection, and ambient computing looming on the horizon, our mission is to build a new shopping experience, beyond search &amp; browse, helping busy customers easily find low-regret products that meet their in-the-moment need. You will have opportunity to closely work with teams who are building Agentic AI powered CX.
 
 
 An ideal individual is someone who has deep data engineering skills around ETL, data modeling, database architecture and big data solutions. This individual should have strong business judgement, excellent written and verbal communication skills.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 We're looking for an intermediate-level Data Engineer to design and implement data products and solutions that power our shopping platforms.
 </li>
 <li>
 You'll own medium to large data initiatives, participate in architectural discussions, build data systems that can scale to PB and streaming data with 100K TPS
 </li>
 <li>
 You will be responsible for building data products that power mission critical analytical reports and metrics for Amazon AI products that are viewed at the highest levels in the organization.
 </li>
 <li>
 You should have deep expertise in the design, creation, management, and business use of extremely large datasets.
 </li>
 <li>
 This role involves building scalable data systems while maintaining high standards of data quality and reliability.
 </li>
 <li>
 You will utilize Agentic AI to build data products and solutions
 </li>
 <li>
 You will mentor entry-level engineers.
 
 
 </li>
 </ul>
 A day in the life
 
 
 This data engineer designs, builds, and maintains scalable data pipelines that transform raw information into reliable, high-quality datasets for analytics and machine learning. Each day involves design discussion with engineering teams for instrumentation, seek out innovative approaches to design/update data flows, and collaborating with with other internal teams to integrate your data products with theirs and ensure timely, trustworthy data delivery.
 
 
 
 About The Team
 
 
 
 Our organization builds the data foundations that power the future of online shopping. With ever expanding selection, and ambient computing looming on the horizon, it's time to create a new shopping experience, beyond search &amp; browse, helping busy customers easily find low-regret products that meet their in-the-moment need. It's time to leverage big data and machine learning to generate relevant and trustworthy recommendations for billions of shopping journeys through billions of products, and to make it easy and natural for customers to discover those recommendations. We are seeking the industry's best to help us create new ways to interact, search and shop.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 3+ years of data engineering experience
 </li>
 <li>
 4+ years of SQL experience
 </li>
 <li>
 Experience with data modeling, warehousing and building ETL pipelines
 </li>
 <li>
 Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
 </li>
 <li>
 Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
 
 
 </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
 
 
 Job ID: A3123418
</div>

Data Engineer

Weekday AI (YC W21)

<div>
 
 This role is for one of the Weekday's clients
 
 
 
 
 Salary range: Rs 2400000 - Rs 3500000 (ie INR 24-35 LPA)
 
 
 
 Min Experience: 6 years
 
 
 Location: Bangalore
 
 
 JobType: full-time
 
 
 We are seeking a skilled
 
 Speech Data Scientist
 
 to design, develop, and optimize advanced speech analytics and automatic speech recognition (ASR) solutions. The ideal candidate will work on end-to-end speech pipelines, multilingual audio processing, and model deployment in production environments. You will also drive research and innovation in speech processing, contributing to model enhancement and high-impact technical solutions.
 
 
 
 Requirements
 
 
 
 
 Key Responsibilities
 
 
 
 
 Core Development &amp; Implementation
 
 
 
 <ul>
 <li>
 Design and implement end-to-end speech analytics pipelines for production.
 </li>
 <li>
 Develop ASR engines using frameworks such as Wav2vec, Whisper, and Deep Speech with PyTorch or TensorFlow.
 </li>
 <li>
 Build and optimize speaker diarization, language identification (LID), and text post-processing systems.
 </li>
 <li>
 Focus on multilingual audio processing and domain adaptation strategies.
 </li>
 <li>
 Lead data selection and preprocessing for improved model performance.
 
 
 </li>
 </ul>
 
 Model Development &amp; Enhancement
 
 
 
 <ul>
 <li>
 Develop and analyze objective measures for speech quality evaluation and enhancement.
 </li>
 <li>
 Implement speaker-conditioned personalization techniques to improve ASR accuracy in noisy environments.
 </li>
 <li>
 Optimize on-device ASR models, emphasizing multi-language scenarios.
 </li>
 <li>
 Guide teams on best practices for model accuracy and performance optimization.
 
 
 </li>
 </ul>
 
 Research &amp; Innovation
 
 
 
 <ul>
 <li>
 Conduct research on advanced speech processing and neural speech enhancement techniques.
 </li>
 <li>
 Develop novel solutions for multi-speaker and complex audio scenarios.
 </li>
 <li>
 Contribute to patents, publications, and technical thought leadership in speech technology.
 </li>
 <li>
 Stay updated on transformer models, attention mechanisms, and foundation models.
 
 
 </li>
 </ul>
 
 Technical Integration &amp; Deployment
 
 
 
 <ul>
 <li>
 Design integration architectures for speech-to-text services and related technologies.
 </li>
 <li>
 Implement MLOps processes and CI/CD pipelines for speech model deployment.
 </li>
 <li>
 Deploy and scale speech solutions on cloud platforms (AWS, GCP).
 </li>
 <li>
 Develop production-ready applications using Python, C++, and Java.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 
 Education
 
 
 
 <ul>
 <li>
 Ph.D./M.S./M.Tech in Computer Science, Signal Processing, or related field preferred.
 </li>
 <li>
 B.Tech/B.E in ECE, CSE, or related technical field required.
 
 
 </li>
 </ul>
 
 Technical Expertise
 
 
 
 <ul>
 <li>
 Speech Processing: 3-6 years of hands-on experience in ASR and speech analytics. Strong knowledge of HMMs, GMMs, ANNs, language modeling, CNNs, RNNs, LSTMs, CTC, and attention mechanisms.
 </li>
 <li>
 Machine Learning / Deep Learning: Proficiency in PyTorch and TensorFlow; experience with transformer models (BERT, Wav2vec 2.0, Whisper) and end-to-end ASR implementation.
 </li>
 <li>
 Programming &amp; Tools: Strong Python skills (numpy, pandas, scikit-learn), experience with C++/Java for production, bash scripting, and Git.
 </li>
 <li>
 Cloud &amp; Deployment: Hands-on experience with AWS/GCP, containerization (Docker, Kubernetes), MLOps, CI/CD pipelines, and scalable model serving.
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 ASR, Speech Recognition, Speech Analytics, Multilingual Audio Processing, Python, PyTorch, TensorFlow, Deep Learning
</div>

Speech Data scientist

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 PhD degree in Computer Science, a related technical field, or equivalent practical experience.
 </li>
 <li>
 Experience coding in one of the following programming languages including but not limited to: C, C++, Java, or Python.
 </li>
 <li>
 Experience in one or more of the following: architecting or developing distributed systems, concurrency, multi-threading, or synchronization.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Experience with performance, reliability, systems data analysis, visualization tools, or debugging.
 </li>
 <li>
 Experience in code and system health, diagnosis and resolution, and software test engineering.
 </li>
 <li>
 Research experience in algorithms, architecture, artificial intelligence, compilers, database, data mining, distributed systems, machine learning, networking, or systems.
 </li>
 <li>
 Experience with performance, reliability, systems data analysis, visualization tools, architecture, compilers, database, data mining, networking or systems.
 </li>
 <li>
 Experience with Unix/Linux, Kernel development, microcontrollers, SoC, device drivers, hardware, power management, ARM processors, performance optimization, file systems, bootloading, firmware, x86 assembly, system BIOS, or hardware/software integration.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Google Cloud's software engineers build the next-generation technologies that transform how billions of users connect, explore, and interact with information and each other. We're looking for engineers who bring fresh ideas across areas like information retrieval, distributed computing, large-scale system design, networking, data storage, security, AI, and natural language processing&mdash;the list keeps growing.
 
 
 As a Software Engineer, you&rsquo;ll work on projects critical to Google Cloud&rsquo;s evolving needs, with the flexibility to move between teams and initiatives as both you and our business grow. You'll be empowered to think like an owner, proactively identifying customer needs, taking action, and driving innovation. We value engineers who are versatile, display leadership, and eagerly handle challenges across the full stack.
 
 
 Within Google Cloud, the Machine Learning, Systems, and Cloud AI (MSCA) organization creates category-defining AI/ML capabilities built on Google&rsquo;s frameworks, infrastructure, and services. We design and manage the software, hardware, and ML systems infrastructure that power Google services like Search and YouTube, and Google Cloud products.
 
 
 As a PhD Software Engineer in MSCA, your research expertise will help solve real-world problems at a massive scale. You'll collaborate on innovative projects in areas such as AI, ML, and distributed systems, contributing to products used by billions. With thousands of PhDs across Google, your academic background will be part of a strong community of researchers and engineers shaping the future of technology.
 
 
 We prioritize security, efficiency, and reliability in everything we do, from developing TPUs to operating one of the world&rsquo;s largest networks, while shaping the future of hyperscale computing.
 
 
 The AI and Infrastructure team is redefining what&rsquo;s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
 
 
 We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide on available technologies.
 </li>
 <li>
 Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
 </li>
 <li>
 Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
 </li>
 <li>
 Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Lead and collaborate on team projects to carry out design, analysis, and development across the stack using your research expertise.
 </li>
 <li>
 Study, diagnose and resolve complex technical modeling and systems issues by analyzing the sources of the issues and the impact on quality.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Software Engineer, PhD, Early Career, Campus, 2025 Start

Microsoft

<div>
 
 Overview
 
 
 
 
 Microsoft Research India (MSR
 
 
 India)
 
 is a leading research lab advancing innovation across the research areas like Artificial Intelligence &amp; Machine Learning, Theory, Technology &amp; Empowerment and Systems. Established two decades ago, the lab has been at the forefront of computer science research in India and has been home to world class talent and projects.
 
 
 We are seeking to hire research engineers at Microsoft Research India. We are looking for exceptional candidates with a demonstrated track record in AI/ML, including new models, scalable ML architectures, systems support for such workloads, and innovative large-scale applications of ML models. Projects in the lab are inter-disciplinary and span across research areas such as artificial intelligence, machine learning, natural language processing, information retrieval, systems, theory, and related areas.
 
 
 Interested candidates should apply on the link above.
 
 
 
 Responsibilities
 
 
 
 We are looking for engineers with strong coding and engineering skills. The candidate should be comfortable dealing with open problems, new technologies and changing requirements, and should play different roles in the project as the need arises. The candidate will be working closely with researchers, engineers and internal/external partners and take ownership of meeting project goals through building quality solutions. This also provides a great opportunity to receive mentoring as well as to mentor and lead interns and other team members.
 
 
 
 Qualifications
 
 
 
 Required:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s, Master&rsquo;s, or Ph.D. degree in Computer Science or related disciplines.
 </li>
 <li>
 Strong programming and communication skills, and ability to drive end-to-end research and development&mdash;from ideation to deployment.
 </li>
 <li>
 Minimum 5 years of industry work experience with proven track record of innovation and delivering impactful solutions.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Good understanding of deep learning, LLMs, and large-scale ML systems.
 </li>
 <li>
 Proficiency in Python, PyTorch, and familiarity with CUDA, cutting-edge agentic frameworks, etc.
 </li>
 <li>
 Experience in data preparation, pre-training, post-training, and evaluation for ML models.
 
 
 </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>

Research Software Development Engineer

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