ai research engineer

Tether Operations Limited

<div><p><b><i>Join Tether and Shape the Future of Digital Finance</i></b></p><p>
At Tether, we&rsquo;re not just building products, we&rsquo;re pioneering a global financial revolution. Our cutting-edge solutions empower businesses&mdash;from exchanges and wallets to payment processors and ATMs&mdash;to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.</p><p></p><p><b><i>
Innovate with Tether</i></b></p><p><b>
Tether Finance: </b>Our innovative product suite features the world&rsquo;s most trusted stablecoin, <b>USDT</b>, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.</p><p>
But that&rsquo;s just the beginning:</p><p><b>
Tether Power: </b>Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.</p><p><b>
Tether Data: </b>Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like <b>KEET</b>, our flagship app that redefines secure and private data sharing.</p><p><b>
Tether Education</b>: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.</p><p><b>
Tether Evolution</b>: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.</p><p></p><p><b><i>
Why Join Us?</i></b></p><p>
Our team is a global talent powerhouse, working remotely from every corner of the world. If you&rsquo;re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We&rsquo;ve grown fast, stayed lean, and secured our place as a leader in the industry.</p><p>
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.</p><p><b>
Are you ready to be part of the future?</b></p><p></p><p><b>
About the job</b></p><p>
As a member of the AI model team, you will drive innovation in reinforcement learning approaches for advanced models. Your work will optimize decision-making and adaptive behavior to deliver enhanced intelligence, improved performance, and domain-specific capabilities for real-world challenges. You will work across a broad spectrum of systems, including resource-efficient models designed for limited hardware environments and complex multi-modal architectures that integrate data such as text, images, and audio.</p><p>
We expect you to have deep expertise in designing reinforcement learning systems and a strong background in advanced model architectures. You will adopt a hands-on, research-driven approach to developing, testing, and implementing novel reinforcement learning algorithms and training frameworks. Your responsibilities include curating specialized simulation environments and training datasets, strengthening baseline policy performance, and identifying as well as resolving bottlenecks in the reinforcement learning process. The ultimate goal is to unlock superior, domain-adapted AI performance and push the limits of what these models can achieve in dynamic, real-world environments.</p><p></p><p><b>
Responsibilities</b></p><ul><li><p>
Develop and implement state-of-the-art reinforcement learning algorithms designed to optimize decision-making processes in both simulated and real-world settings. Establish clear performance targets such as reward maximization and policy stability.</p></li><li><p>
Build, run, and monitor controlled reinforcement learning experiments. Track key performance indicators while documenting iterative results and comparing outcomes against established benchmarks.</p></li><li><p>
Identify and curate high-quality simulation environments and training datasets that are tailored to specific domain challenges. Set measurable criteria to ensure that the selection and preparation of these resources significantly enhance the learning process and overall model performance.</p></li><li><p>
Systematically debug and optimize the reinforcement learning pipeline by analyzing both computational efficiency and learning performance metrics. Address issues such as reward signal noise, exploration strategy, and policy divergence to improve convergence and stability.</p></li><li><p>
Collaborate with cross-functional teams to integrate reinforcement learning agents into production systems. Define clear success metrics such as real-world performance improvements and robustness under varied conditions and ensure continuous monitoring and iterative refinements for sustained domain adaptation.</p></li></ul><ul><li><p>
A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&amp;D (with good publications in A* conferences).</p></li><li><p>
Proven experience with large-scale reinforcement learning experiments, including online RL techniques such as Group Relative Policy Optimization (GRPO), is essential. Your contributions should have led to measurable improvements in domain-specific decision-making and overall policy performance.</p></li><li><p>
Deep understanding of reinforcement learning algorithms is required, including state-of-the-art online RL methods and other gradient-based optimization approaches like policy gradients, actor-critic, and GRPO. Your expertise should emphasize enhancing policy stability, exploration, and sample efficiency in complex, dynamic environments.</p></li><li><p>
Strong expertise in PyTorch and relevant reinforcement learning frameworks is a must. Practical experience in developing RL pipelines, from simulation and online training to post-training evaluation and deploying RL-based solutions in production environments is expected.</p></li><li><p>
Demonstrated ability to apply empirical research to overcome reinforcement learning challenges such as sample inefficiency, exploration-exploitation tradeoffs, and training instability. You should be proficient in designing robust evaluation frameworks and iterating on algorithmic innovations to continuously push the boundaries of RL agent performance.</p></li></ul><p></p><p><b>
Important information for candidates</b><br>
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:</p><ul><li><p><b>
Apply only through our official channels.</b> We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/</p></li><li><p><b>
Verify the recruiter&rsquo;s identity.</b> All our recruiters have verified LinkedIn profiles. If you&rsquo;re unsure, you can confirm their identity by checking their profile or contacting us through our website.</p></li><li><p><b>
Be cautious of unusual communication methods.</b> We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.</p></li><li><p><b>
Double-check email addresses.</b> All communication from us will come from emails ending in <b>@</b>tether.to<b> or @</b>tether.io</p></li><li><p><b>
We will never request payment or financial details.</b> If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.</p></li></ul><p><b>
When in doubt, feel free to reach out through our official website.</b></p></div>

AI Research Engineer - Reinforcement Learning (100% Remote)

<div><p><b><i>Join Tether and Shape the Future of Digital Finance</i></b></p><p>
At Tether, we&rsquo;re not just building products, we&rsquo;re pioneering a global financial revolution. Our cutting-edge solutions empower businesses&mdash;from exchanges and wallets to payment processors and ATMs&mdash;to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.</p><p></p><p><b><i>
Innovate with Tether</i></b></p><p><b>
Tether Finance: </b>Our innovative product suite features the world&rsquo;s most trusted stablecoin, <b>USDT</b>, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.</p><p>
But that&rsquo;s just the beginning:</p><p><b>
Tether Power: </b>Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.</p><p><b>
Tether Data: </b>Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like <b>KEET</b>, our flagship app that redefines secure and private data sharing.</p><p><b>
Tether Education</b>: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.</p><p><b>
Tether Evolution</b>: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.</p><p></p><p><b><i>
Why Join Us?</i></b></p><p>
Our team is a global talent powerhouse, working remotely from every corner of the world. If you&rsquo;re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We&rsquo;ve grown fast, stayed lean, and secured our place as a leader in the industry.</p><p>
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.</p><p><b>
Are you ready to be part of the future?</b></p><p></p><p><b>
About the job:</b></p><p>
We are looking for an experienced AI Model Engineer with deep expertise in kernel development, model optimization, fine-tuning, and GPU acceleration. The engineer will extend the inference framework to support inference and fine-tuning for Language models with a strong focus on mobile and integrated GPU acceleration (Vulkan).</p><p></p><p>
This role requires hands-on experience with quantization techniques, LoRA architectures, Vulkan backend, and mobile GPU debugging. You will play a critical role in pushing the boundaries of desktop and on-device inference and fine-tuning performance for next-generation SLM/LLMs.</p><p></p><p><b><br>
Responsibilities</b>:</p><ul><li><p>
Implement and optimize custom inference and fine-tuning kernels for small and large language models across multiple hardware backends.</p></li><li><p>
Implement and optimize full and LoRA fine-tuning for small and large language models across multiple hardware backends.</p></li><li><p>
Design and extend datatype and precision support (int, float, mixed precision, ternary QTypes, etc.).</p></li><li><p>
Design, customize, and optimize Vulkan compute shaders for quantized operators and fine-tuning workflows.</p></li><li><p>
Investigate and resolve GPU acceleration issues on Vulkan and integrated/mobile GPUs.</p></li><li><p>
Architect and prepare support for advanced quantization techniques to improve efficiency and memory usage.</p></li><li><p>
Debug and optimize GPU operators (e.g., int8, fp16, fp4, ternary).</p></li><li><p>
Integrate and validate quantization workflows for training and inference.</p></li><li><p>
Conduct evaluation and benchmarking (e.g., perplexity testing, fine-tuned adapter performance).</p></li><li><p>
Conduct GPU testing across desktop and mobile devices.</p></li><li><p>
Collaborate with research and engineering teams to prototype, benchmark, and scale new model optimization methods.</p></li><li><p>
Deliver production-grade, efficient language model deployment for mobile and edge use cases.</p></li><li><p>
Work closely with cross-functional teams to integrate optimized serving and inference frameworks into production pipelines designed for edge and on-device applications. Define clear success metrics such as improved real-world performance, low error rates, robust scalability, optimal memory usage and ensure continuous monitoring and iterative refinements for sustained improvements.</p></li></ul><p></p><ul><li><p><br>
Proficiency in C++ and GPU kernel programming.</p></li><li><p>
Proven Expertise in GPU acceleration with Vulkan framework.</p></li><li><p>
Strong background in quantization and mixed-precision model optimization.</p></li><li><p>
Experience and Expertise in Vulkan compute shader development and customization.</p></li><li><p>
Familiarity with LoRA fine-tuning and parameter-efficient training methods.</p></li><li><p>
Ability to debug GPU-specific performance and stability issues on desktop and mobile devices.</p></li><li><p>
Hands-on experience with mobile GPU acceleration and model inference.</p></li><li><p>
Familiarity with large language model architectures (e.g., Qwen, Gemma, LLaMA, Falcon etc.).</p></li><li><p>
Experience implementing custom backward operators for fine-tuning.</p></li><li><p>
Experience creating and curating custom datasets for style transfer and domain-specific fine-tuning.</p></li><li><p>
Demonstrated ability to apply empirical research to overcome challenges in model</p></li></ul><p></p><p><b>
Important information for candidates</b><br>
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:</p><ul><li><p><b>
Apply only through our official channels.</b> We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/</p></li><li><p><b>
Verify the recruiter&rsquo;s identity.</b> All our recruiters have verified LinkedIn profiles. If you&rsquo;re unsure, you can confirm their identity by checking their profile or contacting us through our website.</p></li><li><p><b>
Be cautious of unusual communication methods.</b> We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.</p></li><li><p><b>
Double-check email addresses.</b> All communication from us will come from emails ending in <b>@</b>tether.to<b> or @</b>tether.io</p></li><li><p><b>
We will never request payment or financial details.</b> If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.</p></li></ul><p><b>
When in doubt, feel free to reach out through our official website.</b></p></div><p></p>

Senior AI Research Engineer, Model Inference (100% Remote)

Pixalate, Inc.

<div><div><b>AI Engineer *PhD Required</b><br>
<b>Employment Type: </b>Full-Time<br>
<b>Location: </b>Remote, Pakistan<br>
<br>
<b>Transform AI Research into Real-World Impact</b><br>
<br>
As an AI Research Engineer at Pixalate, you'll bridge the gap between fundamental AI research and production systems that protect the digital ecosystem. Working with our Research team (AFAC) that has uncovered more than $100M in ad fraud and national security threats, you'll have the autonomy to pursue groundbreaking research while seeing your innovations deployed at scale within months, not years.<br>
<br>
You'll lead research in emerging AI paradigms including autonomous agent systems, test-time compute optimization, and multimodal understanding - all applied to real-world challenges in digital safety and fraud detection.<br>
<br>
<b>Key Research Areas &amp; Responsibilities</b><br>
<br>
<b>Agentic AI Systems Development</b></div><ul><li>
Design and implement multi-agent architectures for autonomous fraud detection and analysis</li><li>
Develop sophisticated agent coordination systems using frameworks like LangChain, AutoGen, or custom architectures</li><li>
Create tool-integrated AI agents capable of complex reasoning and decision-making</li><li>
Research novel approaches to agent safety and alignment in production environments</li></ul><div><b>
Advanced Reasoning &amp; Test-Time Compute</b></div><ul><li>
Implement state-of-the-art reasoning systems inspired by recent breakthroughs (o1, DeepSeek-R1)</li><li>
Optimize inference-time compute allocation for complex analytical tasks</li><li>
Develop chain-of-thought and verification mechanisms for high-stakes decision making</li><li>
Research novel approaches to scaling reasoning capabilities efficiently</li></ul><div><b>
Multimodal AI &amp; Knowledge Systems</b></div><ul><li>
Build advanced multimodal models for analyzing video, image, text, and behavioral data</li><li>
Develop sophisticated RAG (Retrieval-Augmented Generation) architectures:<ul><li>
Design high-performance vector databases and hybrid search systems</li><li>
Implement advanced chunking strategies and semantic understanding</li><li>
Create context-aware retrieval mechanisms for complex documents</li></ul></li><li>
Research cross-modal learning for fraud pattern detection</li></ul><div><br>
<b>
Required Qualifications</b></div><br>
<b>
PhD in Computer Science, AI, Machine Learning, or related field (or exceptional research track record)</b><ul><li>
Published research in peer-reviewed venues demonstrating expertise in:<ul><li>
Large Language Models and transformer architectures</li><li>
Agentic AI, autonomous systems, or multi-agent coordination</li><li>
Multimodal learning or computer vision</li><li>
Distributed systems and scalable ML</li></ul></li></ul><div><b>
Technical Expertise</b></div><ul><li>
Expert proficiency in Python and deep learning frameworks (PyTorch preferred, TensorFlow)</li><li>
Advanced experience with:<ul><li>
Modern AI frameworks: LangChain, Hugging Face Transformers, Ray</li><li>
Agent development and orchestration</li><li>
RAG systems and vector databases</li><li>
Distributed training frameworks and GPU optimization</li></ul></li><li>
Strong understanding of:<ul><li>
Transformer architectures and attention mechanisms</li><li>
Reinforcement learning and reward modeling</li><li>
Neural architecture search and AutoML</li><li>
MLOps and production ML systems</li></ul></li></ul><div><b>
Research Skills</b></div><ul><li>
Track record of novel algorithm development and innovation</li><li>
Experience with large-scale experimentation and ablation studies</li><li>
Proficiency in research tools: Weights &amp; Biases, MLflow, TensorBoard</li><li>
Strong theoretical foundation in optimization, statistics, and linear algebra</li></ul><div><br>
<b>
Preferred Qualifications</b><br>
</div><ul><li>
Experience with fraud detection, cybersecurity, or trust &amp; safety applications</li><li>
Contributions to open-source AI projects</li><li>
Industry research experience at leading AI labs (DeepMind, OpenAI, FAIR, etc.)</li><li>
Experience translating research into production systems</li><li>
Experience with:<ul><li>
Mixture of Experts (MoE) architectures</li><li>
Constitutional AI and alignment techniques</li><li>
Efficient inference optimization (quantization, distillation)</li><li>
Real-time streaming ML systems</li></ul></li></ul>
We're particularly interested in candidates who can demonstrate both theoretical depth and practical implementation skills. Show us how your research can transform the landscape of online trust and safety.<br>
<div><div><b>
Benefits</b><br>
<br>
At Pixalate, we offer an extremely competitive salary, outstanding benefits, and a dynamic work environment. You will have the opportunity to work on pioneering technologies alongside some of the brightest minds in the industry. If you're passionate about maintaining high software quality and thrive in a fast-paced, challenging environment, you'll fit right in.<br>
</div><ul><li>
Monthly internet reimbursement</li><li>
Casual, remote work environment</li><li>
Hybrid, flexible hours</li><li>
Opportunity for advancement</li><li>
Fun annual team events</li><li>
Being part of a high performing team that wants to win and have fun doing it</li></ul><div><b>
About us</b><br>
<br>
Pixalate is an online trust and safety platform that protects businesses, consumers and children from deceptive, fraudulent and non-compliant mobile, CTV apps and websites.<br>
<br>
We're seeking a PhD-level AI Engineer to lead cutting-edge research in agentic AI systems, multimodal analysis, and advanced reasoning architectures that will directly impact millions of users worldwide. Our software and data have been used to unearth multiple high profile criminal and illegal surveillance cases including:<br>
</div><ul><li>
UNICEF: Pixalate was recently recognized by UNICEF as a Key Innovator for protecting children&rsquo;s online privacy. &amp; UNICEF Global Compliance Tech case study</li><li>
Gizmodo: An iCloud Feature Is Enabling a $65 Million Scam, New Research Says</li><li>
Adweek: A 7-Figure Ad Fraud Scheme Running on Roku Underlines Murkiness of CTV</li><li>
Washington Post: Your kids&rsquo; apps are spying on them</li><li>
Pro Publica: Porn, Piracy, Fraud: What Lurks Inside Google&rsquo;s Black Box Ad Empire</li><li>
ABC7 News: The State of Children's Privacy Online</li><li>
NBC News: How many apps are tracking your children</li></ul>
Our team of lawyers, data scientists, engineers, economists and researchers span globally with presence in California, New York, Washington DC, London and Singapore.Pixalate is an equal opportunity employer committed to building a diverse team.<br>
<br>
We particularly encourage applications from underrepresented groups in AI research.<br>
</div>
#LI-MW1<p>
</p><p>1067I4tGuT</p></div>

AI Engineer (PhD Required)

The University of Southern MIssissippi

<div><p><b>Artificial Intelligence/Machine Learning (AI/ML) Engineer</b></p>
<p>
The University of Southern Mississippi is currently accepting applications for the position of Artificial Intelligence/Machine Learning (AI/ML) Engineer.</p><br>
<div><div><div><div><b>Position Details</b></div>
</div><br>
<div><div>Location</div> <div>Marine Research Center<br>
<br>
1030 West Pier, Port of Gulfport<br>
Gulfport, Mississippi, 39501<br>
United States
</div></div><br>
<div><div>Division</div> <div>Ocean Enterprise</div>
</div><br>
<div><div>Position Type</div> <div>Staff</div>
</div><br>
<div><div>Employment Status</div> <div>Full Time</div>
</div><br>
<div><div>Grant Funded</div> <div>Yes</div>
</div><br>
<div><div>Salary Range</div> <div>85,349.00 - 115,000.00</div>
</div><br>
<div><div>Pay Grade</div>
<p>E16</p><br>
</div><br>
<div><div>Posting Close Date</div> <div>February 1, 2026</div>
</div><br>
</div></div><p></p><p><b>Special Instructions to Applicants</b><br>
Applicants must be currently authorized to work in the United States on a full-time basis without the need for visa sponsorship. The University will not sponsor applicants for work visas (e.g., H-1B).<br>
<br>
<b>Job Summary</b><br>
This is an early to mid-career role that will require the incumbent to design, build and maintain machine learning (ML) models focusing on making AI models practical and scalable for real-world applications, often bridging the gap between data science and software engineering. The position is located at the USM Roger F. Wicker Center for Ocean Enterprise.<br>
<br>
<b>Primary Duties and Responsibilities</b></p><br>
<ul><li>
Design, develop, and optimize machine learning models for diverse business and research applications.</li><li>
Collaborate with data scientists, software engineers, and product teams to integrate ML models into production systems and ensure scalability.</li><li>
Lead data preparation efforts, including preprocessing, feature engineering, and exploratory data analysis to support model development.</li><li>
Evaluate and refine models using appropriate metrics, improving accuracy, efficiency, and robustness against real-world data challenges.</li><li>
Maintain and enhance ML pipelines and infrastructure, ensuring reliability, reproducibility, and continuous improvement.</li><li>
Stay current with AI/ML research and apply emerging methods to solve complex practical problems.</li><li>
Translate research into practice by collaborating with principal investigators and research teams, and assisting in preparing technical reports, visualizations, and academic publications.</li><li>
Document models, processes, and codebases to ensure transparency, reproducibility, and effective knowledge sharing across teams.</li></ul><p></p>
<p></p><div><b>
Minimum Qualifications</b><br>
Bachelor's degree from an accredited college or university in Computer Science, Data Science, Engineering or a related field and 6 years of experience or a Master&rsquo;s Degree from an accredited college or university in Computer Science, Data Science, Engineering or a related field and 4 years of experience. Demonstrated experience working in the full lifecycle of an ML Model. U.S. Citizenship with the ability to obtain a Government clearance. A valid driver&rsquo;s license and eligibility to receive a Trusted Worker Identification Card (TWIC)<br>
<br>
<b>Knowledge, Skills &amp; Abilities</b></div><ul><li>
Proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, and XGBoost.</li><li>
Experience with data manipulation tools like Pandas, NumPy, and SQL.</li><li>
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud (especially services like SageMaker, Vertex AI, etc.).</li><li>
Experience with model deployment tools and frameworks (e.g., Docker, FastAPI, Flask, MLflow).</li><li>
Strong understanding of supervised and unsupervised learning, neural networks, NLP, and computer vision.</li><li>
Experience with version control systems (e.g., Git) and CI/CD pipelines.</li><li>
Excellent problem-solving skills and ability to work independently and in teams.</li></ul><div></div><div><b>
Preferred Qualifications</b><br>
Experience with MLOps practices and tools.<br>
Familiarity with big data technologies (e.g., Spark, Hadoop).<br>
Knowledge of data visualization tools (e.g., Matplotlib, Seaborn, Plotly).<br>
Contributions to open-source projects or published research in AI/ML<br>
Proficiency in programming languages like C, Java, C++ and Python</div><p></p>
<div></div>
<p><b>About The University of Southern Mississippi</b>
<br>
Since our founding in 1910, The University of Southern Mississippi has remained dedicated to preparing students for success. We deliver programs to more than 13,000 students in Hattiesburg and Long Beach, at teaching and research sites across the Mississippi Gulf Coast, as well as online. We are a community-engaged Carnegie R1 university, earning distinction as one of the nation's leading research institutions.<br>
<br>
Southern Miss is known for pioneering work in polymer science, ocean science, spectator sports safety and security, and bringing language to children with communication disorders. We are also a national leader in a broad range of disciplines, including cybersecurity, hydrography, nutrition, aquaculture, kinesiology, and economic development, among others.
<br>
<br>
We produce graduates ready to enter fields that are leading the way in emerging technologies through programs such as computer engineering, information technology, and ocean engineering. We&rsquo;re developing the next generation of business leaders, while also responding to critical workforce shortages by producing skilled professionals in education and nursing. With a tradition of excellence in the arts, we are one of only 36 public institutions in the nation accredited in four major areas of the arts. Home to the Golden Eagles, our student-athletes compete in 17 NCAA Division I sports. With a culture marked by passion and persistence, Southern Miss is delivering graduates who are ready for life. For more information, visit www.usm.edu.</p>
<p>
The University of Southern Mississippi is an equal opportunity employer, and all qualified applicants will receive consideration for employment. EOE/VETS/DISABILITY.</p></div>

Artificial Intelligence/Machine Learning (AI/ML) Engineer

iTechNets

<p><b>Pay:</b> 120,000.00 (PKR) - 150,000.00 (PKR) per month</p><p>Job description:</p><p>We are currently seeking a talented <b>Generative AI engineer </b>with strong expertise in AI and AI agent development to join our dynamic team. This is an exciting opportunity to work on groundbreaking projects and make a significant impact in the field of artificial intelligence and AI agents.</p><p>The ideal candidate will have a strong background in Python, expertise in Generative AI, and a passion for developing and fine-tuning generative AI models. You will be responsible for creating innovative solutions, optimizing models, and deploying applications that leverage the power of AI.</p><p><b>Key Responsibilities:</b></p><ul><li>Develop and implement Gen AI agents and models.</li><li>Fine-tune and optimize generative AI models for various applications.</li><li>Collaborate with cross-functional teams to design and develop AI-driven solutions.</li><li>Build and deploy applications using Python and Flask.</li><li>Conduct research and stay updated on the latest advancements in Generative AI and AI agents</li><li>Perform data analysis and preprocessing to support model development.</li><li>Troubleshoot and resolve technical issues related to AI models and applications.</li><li>Document and present findings, progress, and results to the team and stakeholders.</li></ul><p><b>Requirements:</b></p><ul><li>Bachelor's or Master&rsquo;s degree in Computer Science, Engineering, or a related field.</li><li>Minimum of 5 years of experience in machine learning and AI</li><li>At least 3-4 years of experience in generative AI, including building AI agents</li><li>Strong proficiency in langchain, langgraph and other technologies.</li><li>Strong communication and collaboration skills.</li><li>Ability to work independently and as part of a team.</li><li>Extensive experience with AI agents and autonomous reasoning systems.</li><li>Hands-on expertise with LangChain, RAG, OpenAI API, or similar LLM-based frameworks.</li><li>Python proficiency (experience with FastAPI or Flask is a plus).</li><li>Strong understanding of prompt engineering and fine-tuning LLMs.</li><li>Strong problem-solving skills and ability to work independently.</li></ul><p><b>What We Offer:</b></p><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional growth and development.</li><li>A collaborative and innovative work environment.</li><li>Flexible working arrangements (remote/hybrid).</li><li>The chance to work on cutting-edge AI projects.</li></ul><p>Job Type: Full-time</p><p>Pay: Rs120,000.00 - Rs150,000.00 per month</p><p>Experience:</p><ul><li>Gen AI: 3 years (Required)</li></ul><p>Work Location: Remote</p>

Generative AI engineer

Microsoft

<div><div>Join us in building a cutting-edge platform that enables seamless observation and interaction with AI agents. Our mission is to empower creators and organizations by providing tools for Human-in-the-Loop (HITL) workflows, intelligent prioritization, and advanced learning systems. You&rsquo;ll be part of a team that thrives on innovation and collaboration to redefine how humans and AI work together.</div><div></div><div><br>
As a<b> Research Engineer</b>, you will design and implement research-driven solutions that enhance agent transparency, task grouping, and adaptive learning. You&rsquo;ll explore methods for integrating memory, knowledge graphs, evaluations, and AI judges into our platform to improve agent performance and user experience. This role offers opportunities to deepen your expertise in applied AI, contribute to scalable systems, and shape the future of human-AI collaboration. You will work closely with internal and external stakeholders to develop algorithms that analyze interactions and generate actionable insights. Your contributions will help create teaching and learning moments for agent makers, driving continuous improvement. This position provides a flexible work environment and the chance to accelerate your career while influencing next-generation AI platforms.</div><div><br>
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.</div><div></div><div><br>
#EiP</div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul><li>
Design and implement algorithms that enable transparent, interactive AI agent workflows.
</li><li>Collaborate with engineers and researchers to integrate HITL capabilities, memory, knowledge, and evaluation frameworks into the platform.
</li><li>Analyze agent-human interactions to extract insights, optimize task prioritization, and create adaptive learning mechanisms.
</li><li>Drive experimentation, validate hypotheses, and contribute to scalable solutions that improve both internal and client-facing AI agents.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><div><b>
Required Qualifications:</b></div><ul><li>
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND relevant internship experience, e.g., It could include examples as well: prompt engineering, agent orchestration (Semantic Kernel, LangChain), offline and online evaluation, and customization techniques for large language models (Fine tuning, RAG, memory and prompt optimization)<ul><li>
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field<br>
</li><li>
OR equivalent experience.</li></ul></li></ul><div></div><div><b>
Other Requirements</b>:</div><div></div><div><br>
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:</div><ul><li><b>
Microsoft Cloud Background Check</b>: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul><div><b>
Preferred Qualifications:</b></div><ul><li>
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering,or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research<ul><li>
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, orrelated field</li><li>
OR equivalent experience.</li></ul></li></ul><div>
Applied Sciences IC2 - The typical base pay range for this role across the U.S. is USD $84,200 - $165,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $109,000 - $180,400 per year.<br>
<br>
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
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Microsoft will accept applications for the role until November 30th, 2025.</div><div></div><div><br>
#BICJOBS #BIC, #Agent, #AI #EiP</div>
Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div>

Research Engineer

<div><div>As a <b>Senior AI Applied Scientist</b> for The Customer Service Applications Team, you will play a pivotal role in advancing Microsoft's mission to empower every individual and organization on the planet to achieve more. You will contribute to the development and integration of cutting-edge AI technologies into Microsoft products and services, ensuring they are inclusive, ethical, and impactful.<br>
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You will collaborate across product, research and engineering teams to bring innovative solutions to life, applying your expertise in machine learning, data science, and AI to solve complex problems. Your work will directly influence product direction and customer experiences.<br>
<br>
AI Mission and Impact:<br>
<br>
We are in an era of unprecedented innovation and openness. As Microsoft continues to lead in AI, we are seeking individuals to help tackle some of the most exciting and meaningful challenges in the field. Our vision is to build a truly open architecture platform that enables users to summon tailored AI agents to drive real-world outcomes.<br>
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We are looking for anSenior AI Applied Scientist to join our team!<br>
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This role will combine AI knowledge with applied science expertise, and demonstrate a growth mindset and customer empathy. Join us in shaping the future of AI agents.<br>
<br>
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.</div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul><li>
Bringing the State of the Art to Products.</li><li><div>
Build collaborative relationships with product and business groups to deliver AI-driven impact.<br>
<ul><li>
</li>
Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques.<br>
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</li>
Fine-tune foundation models using domain-specific datasets. - Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and ROI analysis.<br>
<li>
</li><li>
Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, support MLOps/AIOps.</li></ul></div></li></ul><ul><li><div>
Contribute to papers, patents, and conference presentations. - Translate research into production-ready solutions and measure their impact through A/B testing and telemetry that address customer needs.<br>
<ul><li>
</li>
Ability to use data to identify gaps in AI quality, uncover insights and implement PoCs to show proof of concepts.<br>
<li>
</li></ul></div></li>
Leveraging Research in real-world problems<br>
Demonstrate deep expertise in AI subfields (e.g., deep learning, Generative AI, NLP, muti-modal models) to translate cutting-edge research into practical, real-world solutions that drive product innovation and business impact.<br>
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</li>
Share insights on industry trends and applied technologies with engineering and product teams.<br>
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</li>
Formulate strategic plans that integrate state-of-the-art research to meet business goals.<br>
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</li></ul></li>
Documentation<br>
Maintain clear documentation of experiments, results, and methodologies.<br>
<li><ul><li>
</li>
Share findings through internal forums, newsletters, and demos to promote innovation and knowledge sharing<br>
<li>
</li></ul></li>
Ethics, Privacy and Security<br>
Apply a deep understanding of fairness and bias in AI by proactively identifying and mitigating ethical and security risks&mdash;including XPIA (Cross-Prompt Injection Attack) unfairness, bias, and privacy concerns&mdash;to ensure equitable and responsible outcomes.<br>
<li><ul><li>
</li>
Ensure responsible AI practices throughout the development lifecycle, from data collection to deployment and monitoring.<br>
<li>
</li>
Contribute to internal ethics and privacy policies and ensure responsible AI practice throughout AI development cycle from data collection to model development, deployment, and monitoring.<br>
<li>
</li></ul></li>
Specialty Responsibilities<br>
Design, develop, and integrate generative AI solutions using foundation models and more.<br>
<li><ul><li>
</li>
Deep understanding of small and large language models architecture, Deep learning, fine tuning techniques, multi-agent architectures, classical ML, and optimization techniques to adapt out-of-the-box solutions to particular business problems<br>
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</li>
Prepare and analyze data for machine learning, identifying optimal features and addressing data gaps.<br>
<li>
</li>
Develop, train, and evaluate machine learning models and algorithms to solve complex business problems, using modern frameworks and state-of-the-art models, open-source libraries, statistical tools, and rigorous metrics<br>
<li>
</li>
Address scalability and performance issues using large-scale computing frameworks.<br>
<li>
</li><li>
Monitor model behavior, guide product monitoring and alerting, and adapt to changes in data streams.</li><li>
Embody our culture and values.</li></ul></li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><div><b>
Required Qualifications:</b></div><ul><li>
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
<ul><li>OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
</li><li>OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
</li><li>OR equivalent experience.</li></ul></li></ul><ul><li>
1+ years of experience with generative AI OR LLM/ML algorithms.</li><li>
1+ research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques.</li></ul><div></div><div><b><br>
Other Requirements:</b></div><div>
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:</div><ul><li><b>
Microsoft Cloud Background Check:</b> This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul><div><b>
Preferred Qualifications:</b></div><br>
<ul><li>
Experience with MLOps Workflows, including CI/CD, monitoring, and retraining pipelines.<br>
</li>
Familiarity with modern LLMOps frameworks (e.g., LangChain, PromptFlow).<br>
<li>
</li>
3+ years of experience publishing in peer-reviewed venues or filing patents.<br>
<li>
</li>
Experience presenting at conferences or industry events.<br>
<li>
</li>
3+ years of experience conducting research in academic or industry settings.<br>
<li>
</li>
1+ year of experience developing and deploying live production systems.<br>
<li>
</li>
1+ years of experience working with Generative AI models and ML stacks.<br>
<li>
</li><li>
Experience across the product lifecycle from ideation to shipping.</li></ul><div><b>
Applied Sciences IC4</b> - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.<br>
<br>
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay<br>
<br>
<br>
</div><div>Microsoft will accept applications for the role until October 31, 2025.</div><div></div><div><br>
#BIC</div><div>
#BICJOBS</div>
Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div>

Senior AI Applied Scientist

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