u/Significant-Stand252

Your Expertise:

• 2+ years of relevant software development industry experience in a fast paced, high growth tech environment. 
• Expertise with network architecture on public cloud providers (e.g. AWS, GCP, Azure) and their network service offerings (e.g., VPC, Security Group, PrivateLink and related products.). 
• Experience running large scale networking systems and software (e.g. Edge proxies, DNS, CDN, network gateways), experience working with istio, Envoy is a plus.
• You are a full-cycle developer: strong ownership and experience building and operating  high-scale, distributed systems across the full software life cycle. 
• You have excellent communication skills and the ability to work well within a team and with teams across the engineering teams.
• You are a strong problem solver and have led a team that is on-call for production infrastructure before.
• You are passionate about efficiency, availability, technical quality and system quality.

Check more details ;

https://peerlist.io/company/airbnb/careers/software-engineer-cloud-networking/jobhkkdplb9qj8k7mcdq9jd6en67qr?utm_source=reddit

We are looking for an Android intern for our 12 or 16-week Fall Program (August/September 2026 - December 2026) who is excited to be a part of our early story and help us build a diverse and vibrant tech community.

What You'll Need

• Currently pursuing a B.S. (or higher) in Computer Science or a related technical field, with an expected graduation date between 2026 - 2028
• Proficiency in Kotlin for Android development
• Knowledge of Android UI components and Android SDK
• Experience contributing at least one mobile app and/or several features that reached a large number of users
• Track record of shipping high-quality products and features or a portfolio of side projects
• Desire to work in a fast-paced environment, continuously grow and master your craft
• Drive to learn new technologies and adapt to different situations
• Strong understanding of mobile design patterns and best practices
• Understanding of security best practices for mobile apps

Nice to Haves

• Experience with web apps (React, TypeScript)
• Experience with backend technologies (Python, Flask, SQL, OpenAPI)
• Experience with our mobile stack: Compose, MVVM, coroutines, flows, gradle, OpenAPI & Buildkite
• Experience managing apps in the Google Play Console

Compensation

• The monthly rate for this internship is $11,700 USD + housing stipend

Interested?

Check more details and apply : https://peerlist.io/company/ramp82/careers/software-engineer-internship-android/jobhmq6pgjrrlpga9fj9a9m8q96eaq?utm_source=reddit

About this Opportunity

Join us as a Full Stack Developer, responsible for supporting the successful delivery of location strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences.

To be successful as a Full Stack Developer you should have experience with:    

• Java 17 and above
• Spring, spring MVC and Spring boot
• Cloud technologies exposure like OpenShift, AWS, Azure or similar.
• Managed an engineering team to support junior developers

Some other highly valued skills may include:

• UI technology like React or Native
• Microservices design and development.
• Stakeholder management during the delivery.

You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

Check more details and apply: https://peerlist.io/company/home_barclay/careers/full-stack-developer/jobhok8pql8kad8q9haq6qbdpqd9ej?utm_source=reddit

About the role:

With best-in-class autonomy and real-time cloud connectivity, drones are becoming critical infrastructure for solving real-world problems faster, safer, and more efficiently.

We’re looking for an intern to join us in Fall 2026 or Winter 2027.

As an intern on the Cloud Platform and Infrastructure team, you’ll help build and scale the cloud systems that make this possible. Our team works across a wide range of challenges and we go where we're needed:

• Tackling scalability and deployment in both cloud and air-gapped environments
• Designing and improving core cloud infrastructure and CI/CD systems
• Enhancing telemetry, observability, and developer productivity

The variety of work means there are plenty of opportunities to learn and have a meaningful impact on how Skydio builds and delivers software. The ideal candidate is a junior, senior, or master’s student with hands-on experience developing complex web applications or backend systems, but above all, we're looking for a highly curious and resourceful candidate, capable of using tools and AI at their disposal to accelerate their understanding and productivity.

What makes you a good fit:

• Solid computer science fundamentals.
• Meaningful project and/or internship experience developing complex web applications or backend data systems.
• Proficiency with Python, Golang, and/or Javascript/Typescript.
• Familiarity with REST-ful APIs, Linux operating system configuration, build tools, relational databases (e.g. Postgres, MySQL) and caching systems (Redis, Memcached).
• Understanding of cloud service offerings (e.g. AWS, GCP, Azure), deployment techniques, and configuration management

Compensation Range: The hourly rate for this position is $47/hr for Undergrad, $53/hr for Graduate students, and $58 for PhD students*. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience.

Check more details and apply : https://peerlist.io/company/skydio/careers/software-engineer-intern-fall-2026winter-2027/jobh8oe8jdnk8abpkf7qemjqdk7dbm?utm_source=reddit

As a Software Engineer, Fullstack on the Threat Narrative team, you will help build the next generation of email-centric narrative experiences across Email Details and Threat Narrative views, with a focus on clearly communicating Abnormal detections to customers. You will work closely with GenAI and LLM-powered systems that distill thousands of low-level detection features and signals into concise, trustworthy explanations that customers can immediately act on. 

Must Haves

• 2+ years of professional, production-level software engineering experience, with a track record of shipping and operating fullstack web applications in cloud-native environments.
• Proficiency in Python and Django (or a similar backend framework), and comfort working with Postgres or similar relational databases.
• Experience building modern frontend applications with React and Typescript, including data-heavy or workflow-centric UIs.
• Ability to design and work with well-structured APIs and data models for data-intensive applications, with attention to correctness and evolvability.
• Experience using metrics, logging, and tracing to debug production issues and understand user behavior in at least one prior system.
• Strong collaboration and communication skills, including working effectively with Product and partner engineering teams to translate requirements into clear technical tasks.
• Experience with AI development tools.
• Bachelor’s degree in Computer Science, Information Systems, or a related technical field, or equivalent practical experience.

Nice to Have 

• Experience building or integrating LLM/GenAI-powered features (e.g., prompt design, simple agents, or explainability) in production or pre-production systems.
• Familiarity with cybersecurity data, threat intelligence, or detection systems, especially in the context of email and collaboration security.
• Exposure to big data and batch processing technologies (e.g., Spark, Databricks, Airflow, Kafka) used to power analytics, narratives, or offline enrichment.
• Experience collaborating on multi-team initiatives and contributing to shared components, data contracts, or cross-surface UX.

 Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.
In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.

Base salary range:

$149,200—$214,500 USD

Interested ?

Check more details and apply : https://peerlist.io/company/abnormal_ai/careers/software-engineer-ii--full-stack/jobhnn7pb8ne97k6afjm8aemnrgqbq?utm_source=reddit

• Location : in-office (Mountain View, United States)
• Compensation : $145k+

About the Role

Our software team is growing, and we are looking for talented engineers who are graduating by December 2026 to join us and be instrumental to one of the following areas: Data Platform, Onboard Systems, ML Infrastructure, Simulation, or Technical Infrastructure teams.

About You

• You have experience in one or more of the following areas: large-scale distributed systems; data storage and processing systems; advanced algorithms using C++ and Python; machine learning, multithreading; x86 architecture; and software performance tuning and optimization, robotics software frameworks, different compute modalities (CPU, GPU, FPGA) etc.
• You have strong problem-solving and programming skills.

Check more detais : https://peerlist.io/company/nuro_ai/careers/software-engineer-ai-platform--new-grad/jobha9emj7dabl6ercngrj9nqdnkjd?utm_source=reddit

• Location : hybrid (San Francisco, United States)

During your 12-week internship, you will be paired with a mentor that will help guide you as you work closely with our team to build and ship AI Native projects. These projects will drive valuable impact to our customers and engineers. This internship will take place from Sept 14 - Dec 4 and you will need to be able to work out of our SF office during this time.

Qualifications

Pursuing a bachelor's or master’s degree in computer science, engineering, or another related field. Must graduate before Summer 2027.

• Previous internship experience.
• Working towards a proficiency of one or more programming languages such as Typescript, Node.js, or Python.
• You find large challenges exciting and enjoy discovering problems as much as solving them.
• You are able to problem-solve and adapt to changing priorities in a fast-paced, dynamic environment.
• This internship will take place from September 14 - December 4 (based on your fall schedule) and you will need to be able to work out of our SF office during this time.

Nice to Haves

• You have expertise with specific technologies that are part of our stack, including Typescript, React, Python.
• You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.
• You have interests outside of technology, such as in art, history, or social sciences.

Check more details and apply : https://peerlist.io/company/notion/careers/software-engineer-intern-fall-2026/jobh7b8kl8dabeaqr1ja67agegpg7j?utm_source=reddit

What We’re Looking For?

• Intermediate skills in SQL, Python or JavaScript.
• Hands-on experience using Generative AI APIs to build small tools or projects. Should be able to leverage APIs, webhooks, and LLMs.
• Good communication skills - able to explain technical ideas in simple terms.
• Interested in growth marketing domains.

Duration : 6 months.

Location : Bengaluru, India

Check more details and apply: https://peerlist.io/company/groww693/careers/intern--growth-ai--martech/jobh8oermejdo7q8nipjdgjakb89re?utm_source=reddit

Fall 2026

• Eligible start date options: Aug 17, Aug 31, Sep 14
• Eligible end date options: Nov 6, Nov 20, Dec 4, Dec 18

Requirements :

• Must be actively enrolled in an accredited college/university program during the time of the internship
• Desired class level: 3rd/4th year Undergraduates, Masters, or PhD
• Desired majors: Computer Science, Computer Engineering, Electrical Engineering, Physics, Math, or related field
• Required coursework: algorithms, data structures, Object-oriented programming
• Recommended coursework: cloud computing, database systems, distributed systems, operating systems, cryptography & authentication, networking
• Bonus experience: research or publications in security or distributed systems, and contributions to open source, product for encryption, authentication (incl. SSO & OAuth), access control, network security
• Excellent programming skills in Java, C++, GO, Python
• Preferred knowledge of C++ and Java
• Knowledge of data structures and algorithms
• Systems programming skills including multi-threading, concurrency, etc.
• Strong problem solving and ability to learn quickly in a dynamic environment
• Experience with working as a part of a team
• Dedication and passion for technology

Check more details and apply :

https://peerlist.io/company/snowflake/careers/software-engineer-intern-security--fall-2026/jobhr8drmneo7mdqe1r69oojmmgb6p?utm_source=reddit

• Experience : 4+ years

Required Qualifications:

• Energized to work in ambiguous, fast-paced startup cultures, operates with a sense of urgency, and isn’t discouraged by being in an environment where we don’t have it all figured out yet
• Expertise with Golang, TypeScript, SQL and database schemas
• Experience managing cloud-based production environments and infrastructure
• Hands-on experience building with LLMs (Anthropic, OpenAI, HuggingFace, etc)
• Hands-on experience building with agentic frameworks (LangGraph/LangChain, Crew, etc)
• Solid understanding of event-driven architectures and distributed systems
• Genuine excitement about AI and its possibilities — with an open and curious mindset that drives experimentation, creativity, and trying new things
• 4+ years of experience working as a software engineer or similar role, with 2+ years leading/managing software engineering teams

Bonus Qualifications:

• Experience in Python including managing production Python environments/infrastructure
• Experience implementing safety guardrails, security, and/or compliance requirements
• Experience with crafting agentic memory solutions, building autonomous “always-on” agentic workflows, and post-training LLM models
• Experience with machine learning and deploying/training AI/ML models
• Some preference for candidates with a background in digital health

Check more details and apply : https://peerlist.io/company/awarehealth_/careers/director-of-engineering/jobha9em8nmg9rr6qfrq7kbp9norkn?utm_source=reddit

• Experience : 3-5 years
• Location : Sunnyvale, California — 5 days a week in-office

Your Toolkit

• 3–5+ years of professional experience in full-stack or UI-focused software engineering
• Strong frontend experience with React, TypeScript, JavaScript, HTML5, and CSS3
• Experience building backend services and APIs using Node.js, TypeScript, or similar technologies
• Solid understanding of RESTful API design and distributed system communication patterns
• Experience with modern build systems, CI/CD pipelines, and frontend tooling
• Familiarity with version control systems (Git) and collaborative development workflows
• Understanding of performance optimization, browser rendering, and debugging techniques
• Knowledge of testing frameworks and best practices across frontend and backend layers
• Exposure to cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) is a plus
• Bachelor’s degree in Computer Science or related field (Master’s preferred)

Bonus Points

• Experience building microservices or service-oriented architectures
• Familiarity with accessibility standards (WCAG 2.0+) and inclusive design practices
• Experience with frontend performance monitoring and metrics (e.g., INP, latency optimization)
• Exposure to large-scale SaaS platforms or cybersecurity products
• Experience working closely with design systems and component libraries

Check more details and apply : https://peerlist.io/company/illumio/careers/full-stack-software-engineer/jobhgnqp7op6bbe8giap86p79rmrpe?utm_source=reddit

Here’s what we’re looking for:

• BS degree in computer science, machine learning, or a related discipline and 2+ years of relevant experience 
• Experience contributing to data-centric systems (e.g., data engineering, data cleaning, ETL pipelines, machine learning, and other production analytics)
• Proficiency in software engineering fundamentals to include algorithms, data structures, design patterns, and at least one systems programming language (e.g., Go, Rust, C++, Java, Scala, etc.)
• Proficiency in Python and exposure to libraries like TensorFlow, PyTorch, and/or scikit-learn
• Exposure to modern software engineering tools and processes (Agile, version control, issue tracking, CI/CD, debugging, etc.)
• Active Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

Interested? Check more details and apply : https://peerlist.io/company/striveworks/careers/machine-learning-engineer/jobhkkd9rlpj8namjcdbqaogjormgl?utm_source=reddit

Qualifications

• Current undergraduate or graduate student pursuing a degree in Computer Science, Information Systems, Data Analytics, Business, or a related field.
• Demonstrated curiosity about AI, automation, and digital transformation in the workplace.
• Familiarity with tools such as ChatGPT, Claude, Microsoft CoPilot, Zapier, Notion AI, or similar platforms.
• Strong analytical and communication skills with the ability to translate technical ideas into practical business solutions.
• Experience or coursework in Python, workflow automation, or dashboard design a plus.
• Highly organized, detail-oriented, and proactive in managing multiple projects.
• Thrives in a collaborative and fast-paced environment.

We provide reasonable accommodation to support individuals of all abilities in performing essential functions.

Compensation

• $20 - $30/ hour depending on experience
• Weekly lunch stipend

Interested ?

Check more details here - https://peerlist.io/company/divcowest/careers/ai-intern/jobhbarmmdo6okbaqfo98npmrg7nle?utm_source=reddit

Skills and Qualifications:

• Bachelor’s degree in Computer Science, Mathematics, Data Science, or related technical field, advanced degrees are preferred 
• 2+ years of experience in software engineering or machine learning engineering, with a strong focus on AI/ML applications in insight generation, summarization, semantic search, and prediction 
• Demonstrated expertise in natural language processing (NLP) and machine learning, including hands-on experience with classifiers, transformer models, large language models (LLMs), and widely used ML and data science libraries such as scikit-learn, pandas, numpy, TensorFlow, and PyTorch
• Experience delivering production-grade GenAI or LLM-based systems with measurable business impact 
• Familiarity with the LangChain ecosystem, including tools such as LangSmith and LangGraph, and experience using them in production environments is a strong plus 
• Proficiency in building and maintaining scalable data pipelines and distributed systems using technologies such as Apache Kafka, Airflow, and cloud data platforms like Snowflake 
• Strong programming skills in Python and SQL, with working knowledge of additional languages such as Java or Scala considered a plus
• Practical experience with cloud-native development, containerization, and orchestration technologies such as Docker and Kubernetes
• Demonstrated ability to solve complex technical problems, contribute to architectural decisions, and deliver high-performance, reliable solutions
• Excellent communication and collaboration skills, with experience working cross-functionally with product managers, engineers, and data scientists in globally distributed teams
• Experience working in fast-paced, data-driven environments. Prior exposure to fintech or financial data platforms is a strong advantage
• Experience authoring research papers for peer-reviewed AI/ML conferences (e.g., NeurIPS, ICML, ACL) and participating in the broader AI research community is strongly preferred 
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Interested: Check more details here-

https://peerlist.io/company/pitchbook/careers/machine-learning-engineer/jobh6a7pedkrbkqkph78dlgbpmgrdm?utm_source=reddit

We’re looking for a Machine Learning Engineer with a strong platform mindset to help design, build, and operate Mozilla’s AI platform. In this role, you’ll work at the intersection of machine learning, distributed systems, and production infrastructure—ensuring that models can be trained, deployed, and served efficiently, securely, and at scale. You will collaborate closely with product, infrastructure, and security teams to enable fast iteration while meeting strict performance and privacy requirements.

What You’ll Bring:

• Bachelor’s degree with 4–6 years of relevant industry experience, or Master’s degree with significant hands-on experience building and operating production ML systems, or work experience equivalent
• Strong experience developing in Python for machine learning systems, backend services, or distributed data processing.
• Proven experience deploying and operating ML workloads in cloud environments, including production-grade infrastructure.
• Solid understanding of model serving architectures, inference pipelines, and performance tradeoffs (latency, throughput, cost, scaling strategies).
• Hands-on experience working with GPU-based workloads and accelerated computing in production settings.
• Experience designing CI/CD pipelines and development workflows that support reliable ML system deployment.
• Ability to independently scope and drive technical initiatives while balancing product and operational priorities.
• Strong problem-solving skills and the ability to debug performance and reliability issues in distributed systems.
• Clear and effective communication skills, with experience collaborating across engineering, product, and infrastructure teams.

Bonus Skills:

• Experience implementing inference optimization strategies such as batching, quantization, compilation, model conversion, or hardware-specific tuning.
• Familiarity with containerization and orchestration systems (e.g., Docker, Kubernetes) in production environments.
• Experience designing observability systems for distributed services, including metrics strategy and performance profiling.
• Exposure to privacy-preserving ML techniques, security best practices, or responsible AI system design.
• Contributions to open-source ML infrastructure projects or leadership in building reusable internal ML tooling.

Check more details : https://peerlist.io/company/mozilla/careers/senior-machine-learning-engineer-ai-platform/jobhmq6bdn7a8m8ljcdj87abmeb7mg?utm_source=reddit

This role is ideal for candidates who want to operate at the intersection of frontier machine learning and real-world, high-stakes research and production systems.

Qualifications

We are open to diverse backgrounds. You do not need to meet every item below.

Minimum Qualifications

• Strong programming ability in Python
• Solid fundamentals in machine learning / deep learning through coursework, research, internships, or substantial projects
• Experience with PyTorch and modern training workflows
• Comfort operating in ambiguous problem spaces with a bias toward execution

Preferred Qualifications

• Experience with distributed systems (e.g., multi-node training, large-scale data loaders, cluster scheduling)
• Familiarity with performance optimization (profiling, kernel efficiency, GPU utilization, throughput/latency)
• Research experience (papers, preprints, open-source contributions, or significant independent work)
• Exposure to biomedical, clinical, or multimodal datasets (helpful but not required)

Check more details here : https://peerlist.io/company/pathos/careers/ml-engineer-intern/jobhlklabbo7m8jrofe78krpo77kqn?utm_source=reddit

The AI Platform team is responsible for building the foundational infrastructure that powers intelligent experiences across Mozilla products. This includes model training pipelines, high-throughput inference services, GPU orchestration, and secure, privacy-respecting AI systems that operate reliably at global scale.

• We’re looking for a Machine Learning Engineer with a strong platform mindset to help design, build, and operate Mozilla’s AI platform. In this role, you’ll work at the intersection of machine learning, distributed systems, and production infrastructure—ensuring that models can be trained, deployed, and served efficiently, securely, and at scale. You will collaborate closely with product, infrastructure, and security teams to enable fast iteration while meeting strict performance and privacy requirements.

What You’ll Bring:

• Bachelor’s degree with 4–6 years of relevant industry experience, or Master’s degree with significant hands-on experience building and operating production ML systems, or work experience equivalent
• Strong experience developing in Python for machine learning systems, backend services, or distributed data processing.
• Proven experience deploying and operating ML workloads in cloud environments, including production-grade infrastructure.
• Solid understanding of model serving architectures, inference pipelines, and performance tradeoffs (latency, throughput, cost, scaling strategies).
• Hands-on experience working with GPU-based workloads and accelerated computing in production settings.
• Experience designing CI/CD pipelines and development workflows that support reliable ML system deployment.
• Ability to independently scope and drive technical initiatives while balancing product and operational priorities.
• Strong problem-solving skills and the ability to debug performance and reliability issues in distributed systems.
• Clear and effective communication skills, with experience collaborating across engineering, product, and infrastructure teams.

Bonus Skills:

• Experience implementing inference optimization strategies such as batching, quantization, compilation, model conversion, or hardware-specific tuning.
• Familiarity with containerization and orchestration systems (e.g., Docker, Kubernetes) in production environments.
• Experience designing observability systems for distributed services, including metrics strategy and performance profiling.
• Exposure to privacy-preserving ML techniques, security best practices, or responsible AI system design.
• Contributions to open-source ML infrastructure projects or leadership in building reusable internal ML tooling.

Interested ? Check more details and apply : https://peerlist.io/company/mozilla/careers/senior-machine-learning-engineer-ai-platform/jobhmq6bdn7a8m8ljcdj87abmeb7mg?utm_source=reddit

• Experience : 0-3 years

Need-to-Haves:

• Experience with Javascript and tools like Typescript, React, Node.js and NextJS.
• Experience with modern, responsive HTML & CSS.
• Experience using data fetching libraries like React Query/Tanstack or tRPC to synchronize client and server data.
• Excellent understanding of software engineering best practices (architecture, test-driven development, component libraries).
• Excellent understanding of security in software engineering and of how to build secure, unassailable systems.
• Experience with automated testing frameworks.
• Experience with CI/CD, Version Control, and DevOps tools like Amazon Web Services, Git and Docker.
• Experience working in agile development teams.

Check more details and apply : https://peerlist.io/company/withglide/careers/full-stack-engineer--early-career/jobh6a7pnd78dejllcg9j6dr6dglnk?utm_source=reddit

Qualifications:

• Currently enrolled in a PhD program in CS, ML, AI, or a related field.
• Strong research potential demonstrated through publications, workshop papers, or other output.
• Research experience with LLMs, agentic AI, or world models.
• Experience improving AI agents with training or inference-time methods.

Check more details and apply : https://peerlist.io/company/fujitsu/careers/agentic-ai-research-intern/jobhmq6bnkobje9d82bdlok6obdq8b?utm_source=reddit

• Location : hybrid (New York, United States)
• Experience : 0-3 years

Why You’ll Love This Role (Especially if you’re a new grad):

• A unique opportunity to work side-by-side with Glide’s founders and senior engineers, learning directly from industry veterans.
• Gain hands-on, end-to-end experience across the full stack: from architecture design to deployment.
• Be part of a small, fast-moving startup, where your code has immediate impact.
• Get mentorship and exposure to real-world engineering best practices, product development, and startup culture.

Need-to-Haves:

• Experience with Javascript and tools like Typescript, React, Node.js and NextJS.
• Experience with modern, responsive HTML & CSS.
• Experience using data fetching libraries like React Query/Tanstack or tRPC to synchronize client and server data.
• Excellent understanding of software engineering best practices (architecture, test-driven development, component libraries).
• Excellent understanding of security in software engineering and of how to build secure, unassailable systems.
• Experience with automated testing frameworks.
• Experience with CI/CD, Version Control, and DevOps tools like Amazon Web Services, Git and Docker.
• Experience working in agile development teams.

Check more details and apply : https://peerlist.io/company/withglide/careers/full-stack-engineer--early-career/jobh6a7pnd78dejllcg9j6dr6dglnk?utm_source=reddit