4 Aiml Research Jobs

Postman is the world's leading API platform, used by more than 35 million developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration, enabling users to create better APIs, faster. The company is headquartered in San Francisco and has an office in Bangalore, where it was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Postman is the world's leading collaboration platform for API development. Postman's features simplify each step of building an API & streamline collaboration to help create better APIs faster. More than 30 million developers & 500,000 organizations worldwide use Postman today, and we continue to strive humbly towards our mission of 100 million connected developers & serving companies as they seek to innovate in an API-first world. Our customers are doing more and more astounding things with the Postman product every day, and as a result, we are growing rapidly. Are you excited about AI's potential Do you want to work toward the goal of using AI to help millions of developers be more effective at their jobs At Postman, one of our goals is to create net new developers in the world, and we believe products like Postbot, an AI Assistant for our users, will play a vital role in this journey. To help us with this, we're seeking exceptional engineers to join us. As an AI Software Engineer, you will work with a talented team of engineers, researchers, design and Product teams, to design and implement key components on developing and implementing AI-powered products and workflows into Postman's product. Utilize your expertise to develop new agent architectures, design and manage data pipelines, run evaluations, and propose solutions to enhance output quality. Embrace uncertainty with confidence by prioritizing meaningful machine-learning experiments that enhance our products. Take the initiative to lead projects collaboratively, ensuring they flourish from inception to completion. Design, monitor, and analyze experimental results efficiently. Document findings thoroughly, conduct ablation studies, and effectively transform data into actionable insights. Collaborate with cross-functional teams to deliver product features on time across Postman's product stack. Ship with high intent and work with the team to improve your ability to iterate and ship AI-powered features over time. You might be a good fit if you have 6+ years of experience in AI/ML research and development, a Masters or Bachelor's degree in Computer Science, AI, Machine Learning, or a related field. Have expertise in improving our models and building evaluations for model capability improvement. Hands-on experience with LLMs, Transformer models, and generative AI techniques. Working experience in retrieval systems, inference engines. The ability to design and run ML research experiments, engineer prototypes, and build infrastructure and tooling for processing data. Strong programming skills in Python and knowledge of ML libraries like Scikit-learn, LLM Model API, or LLM frameworks. A "validate first and perfect later" mentality and curiosity about how things work inside the hood. Self-driven, self-motivated, able to work independently and in a team. Published work at top conferences such as ICLR, ICML, NeurIPS, ACL, and EMNLP would be a nice to have, as well as open-source projects. At Postman, we embrace a hybrid work model. For all roles based out of San Francisco Bay Area, Boston, Bangalore, Noida, Hyderabad, and New York, employees are expected to come into the office 3-days a week. Our Values include creating with curiosity, transparency, focusing on specific goals, an inclusive work culture, and delivering the best products we can.,

The mission of Arkose Labs is to create an online environment where all consumers are protected from online spam and abuse. Recognized by G2 as the 2023 Leader in Bot Detection and Mitigation, with the highest score in customer satisfaction and largest market presence four quarters running, Arkose Labs offers the world's first $1M warranties for credential stuffing and SMS toll fraud. With 20% of our customers being Fortune 500 companies, our AI-powered platform combines powerful risk assessments with dynamic threat response to undermine the strategy of attack, all while improving good user throughput. Headquartered in San Mateo, CA, with employees in London, Costa Rica, Australia, India, and Argentina. Arkose Labs protects enterprises from cybercrime and abuse. Position Overview Arkose Labs is seeking a highly skilled and experienced Machine Learning Research Manager specializing in security to join our team in Pune, India. The ideal candidate will have a strong background in Data Science and AI/ML research, with a specific focus on fraud detection and prevention. This role requires a seasoned professional with proven leadership abilities and a commitment to advancing the field of machine learning in the context of cybersecurity. Key Responsibilities Lead and manage a team of data scientists and machine learning researchers focused on developing advanced models for fraud detection and prevention. Design, develop, and implement machine learning strategies to combat account takeover (ATO) and various forms of online fraud. Collaborate with cross-functional teams to integrate ML solutions into Arkose Labs" security products and services. Conduct in-depth analysis of fraud activities, including bots, phishing, and ATOs, to inform the development of robust ML models. Stay abreast of the latest research and trends in AI, ML, deep learning, natural language processing, cybersecurity, large language models, and multi-agent systems. Utilize programming languages such as Python, R, Java, or similar to develop and deploy ML solutions, emphasizing strong engineering principles. Ensure the effective use of big data technologies and tools in the development and deployment of ML models. Foster a culture of continuous learning and improvement within the team, encouraging innovation and excellence in problem-solving. Qualifications Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. Minimum of 10 years of experience in Data Science, with substantial experience in AI/ML engineering. At least 5 years of experience as a people manager, with a proven track record of leading and mentoring teams. Minimum of 3 years of hands-on experience in developing machine learning models with a focus on fraud detection and prevention. Proven track record of successful implementation of ML-based strategies to combat ATO and fraud. In-depth understanding of online or software fraud activities, including bots, ATOs, phishing, etc. Proficiency in programming languages such as Python, R, Java, or similar, with a strong emphasis on engineering principles. Exceptional problem-solving skills and the ability to think critically and innovatively. Excellent communication and partnership skills for effective multi-functional collaboration. Commitment to staying updated with the latest research and trends in AI, ML, DL, NLP, cybersecurity, LLMs, and multi-agent systems. Experience with big data technologies and tools is a plus. Excellent analytical and leadership skills. Why Arkose Labs At Arkose Labs, our technology-driven approach enables us to make a substantial impact in the industry, supported by a robust customer base consisting of global enterprise giants such as Microsoft, Roblox, OpenAI, and more. Were not just a company; were a collaborative ecosystem where you will actively partner with these influential brands, tackling the most demanding technical challenges to safeguard hundreds of millions of users across the globe. Why do top tech professionals choose Arkose Labs Cutting-Edge Technology: Our high-efficacy solutions, backed by solid warranties, attract leading, global enterprise clients. Innovation and Excellence: We foster a culture that emphasizes technological innovation and the pursuit of excellence, ensuring a balanced and thriving work environment. Experienced Leadership: Guided by seasoned executives with deep tech expertise and a history of successful growth and equity events. Ideal Size: Were structured to be agile and adaptable, large enough to provide stability, yet small enough to value your voice and ideas. Join us in shaping the future of technology. At Arkose Labs, youre not just an employee; youre part of a visionary team driving global change. The most recognizable brands in the world select Arkose Labs, including OpenAI, Roblox, Microsoft, Adobe, Expedia, Snapchat, Zilch, and ZipAir. We value your unique contributions, perspectives, and experiences. Be part of a diverse and high-performing environment that prioritizes collaboration, excellence, and inclusion. We hire the best, focus on their professional development, and offer support for continuing education. We Value: People: first and foremost they are our most valuable resource. Our people are independent thinkers who make data-driven decisions and take ownership and accountability in all the things they do. Teamwork: We demonstrate respect, trust, integrity, and communicate openly with a positive can-do attitude and constructively challenge one another. Customer Focus: We empathize with our customers and obsess about solving their problems. Execution with precision, professionalism, and urgency. Security: Its the lens through which we implement our processes, procedures, and programs. Benefits: Competitive salary + Equity. Beautiful office space with many perks. Robust benefits package. Provident Fund. Accident Insurance. Flexible working hours and work from home days to support personal well-being and mental health.,

The Data Science team at Meesho plays a crucial role in devising creative solutions and building intelligent systems for millions of users across a wide range of product categories. As a Principal Data Scientist in the AdTech team, you will lead innovation in the advertising platform by leveraging advanced machine learning and statistical methods. Your responsibilities will include developing algorithms to optimize ad spend and ROI, designing frameworks to measure ad effectiveness, collaborating with cross-functional teams to implement AI/ML solutions, and providing strategic insights to tech and business leadership. Key Responsibilities: - Design and develop sophisticated algorithms for bidding and budget optimization. - Create frameworks for measuring ad effectiveness and ROI. - Collaborate with product and engineering teams to implement AI/ML solutions. - Communicate insights and recommendations to tech and business leadership. - Mentor junior data scientists and provide technical guidance. - Lead research initiatives in machine learning, auction theory, and advertising technology. Requirements: - B.Tech in Computer Science, Machine Learning, or a related field with a minimum of 6 years of experience in AI/ML research. - Proficiency in PyTorch or TensorFlow, and expertise in Python and big data technologies. - Experience in auction theory, predictive modeling, causal inference, and reinforcement learning. - Strong communication skills to convey complex concepts to technical and non-technical audiences. - Prior experience in mentoring junior data scientists and managing multiple problem statements. Preferred Qualifications: - M.Tech or Ph.D. in Computer Science with a specialization in Machine Learning. - 3+ years of experience applying machine learning in AdTech or related domains. - Exposure to real-time bidding systems, programmatic advertising, or ad exchanges. - Track record of successful research-to-product transitions. - Strong publication record in top AI conferences (e.g., NeurIPS, ICML, ICLR, KDD, CVPR, AAAI).,

The candidate for this role should have a strong background in machine learning algorithms, deep learning frameworks, and practical experience in building and deploying AI solutions. You will collaborate with cross-functional teams to design, develop, and implement innovative AI-driven products and solutions. Your responsibilities will include designing, developing, and deploying machine learning and deep learning models for various business applications. Leading and contributing to projects involving Generative AI, collaborating with data scientists, software engineers, and product managers to deliver end-to-end AI solutions, analyzing and preprocessing large datasets, developing predictive models and algorithms, evaluating and optimizing model performance, and staying up to date with the latest advancements in AI/ML and Generative AI research and technologies. You should be a self-directed and proactive professional who takes initiative, adapts quickly to new technologies and changing requirements, and strategically applies knowledge to solve complex business problems. It is essential to stay current with emerging AI trends, drive innovation, maintain a focus on code quality and best practices. To qualify for this role, you will need a Bachelor's degree in computer science, Data Science, Statistics, or a related field. 3-4 years of experience in AI/ML project development with a minimum of 2 years of hands-on experience with Generative AI is required. Proficiency in programming languages such as Python, experience with data manipulation libraries, and a solid grasp of machine learning techniques and algorithms are essential. Hands-on experience with various AI technologies and frameworks, as well as experience developing and deploying ML models via REST APIs, is also necessary. Preferred qualifications include relevant certifications in data science from reputed universities specializing in AI, strong analytical and problem-solving skills, effective verbal and written communication skills, and good presentation skills. At Emerson, a workplace where every employee is valued, respected, and empowered to grow is prioritized. The company fosters an environment that encourages innovation, collaboration, and diverse perspectives. Career development, inclusive culture, competitive benefits plans, flexible time off options, and employee wellbeing are key priorities at Emerson. Emerson is a global leader in automation technology and software, helping customers in critical industries operate more sustainably while improving productivity, energy security, and reliability. The company celebrates diversity, embraces challenges, and offers opportunities for professionals at all stages of their careers to make a difference.,