HyperVerge

Machine Learning Engineer II

This role requires 2-4 years of ML/DL experience, building and deploying AI models in production.  Must have hands-on experience with LLMs, Python proficiency, and a strong understanding of AI concepts.

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 About HyperVergeHyperVerge is a bootstrapped, fast-growing AI company with presence in Bangalore and Ho Chi Minh, serving more than 100+ clients across US, India, Africa and ASEAN region. Our AI is used by large enterprises like Jio, Vodafone, Airbus, SBI, Bajaj, ICICI and unicorns such as Grab, Groww, Byjus, Cred for verifying identities of customers and preventing fraud (prevented $22M annual fraud in a single large NBFC). Today, we're growing fast and excited for new teammates to join us who are the best at what they do. We're passionate about building a company as diverse and creative as the millions of people we serve worldwide. What do we doVerifying ‘who they say they are’ online, right from the Nigerian prince scams to email-imposters who claim to be the company's CEO - the problem is ever evolving and growing along with the internet's growth. Thus, building the Identity Infrastructure for Internet scale is indeed a critical step to empower new-age businesses to grow. We’ve solved this challenge really well &amp; validated the identities of 700+ million customers until date (&gt; 9% of the world’s population).We are actively building <a class="app-aware-link " target="_blank" href="https://hyperstart.com/" data-test-app-aware-link="">HyperStart</a>, a AI-powered automated Contract Lifecycle Management tool for scaling businesses to save their time spent in organising, searching, reviewing, sharing and tracking contractual data. Why do we do, what we do? <ul><li>Contributing back to communities that enabled us to be where we are, is a meaningful way to spend the short time we have left in this world.</li><li>Building economic engines that generate cash flows, which can be invested to impact the under-privileged is the equation that we are working with.</li><li>To make it real and not overwhelm you with jargons, please see the first leg of our impact here: <a class="app-aware-link " target="_blank" href="https://academy.hyperverge.org/" data-test-app-aware-link="">HyperVerge Academy</a>, a platform to bridge the massive gap in employability for students from lower-income backgrounds by bringing together techies to mentor and sponsor motivated learners, upskilling them in a few months, so that they can get a creditable, well-paying job.</li><li>We will continue to invest into contributing back to overall well-being of the communities we operate in - all the while building a thriving organization which lives beyond our lives.</li></ul>
 What will you do?As an early member, you will play a critical role in shaping the product. You will work on: AI Development <ul><li>Develop AI-powered products, incorporating large language models (LLMs), embeddings, and other AI technologies into the product.</li><li>Ensure that best practices are followed in solving AI problems including thorough problem analysis, prior research understanding, persistent experimentation and documentation, rapid prototyping and extensive testing.</li><li>Devise benchmark datasets and protocols for thorough performance evaluation of the solution against real-world test cases.</li><li>Handle challenges w.r.t data requirements such as ideating the best ways of sourcing data, creating new tools for data annotation, etc. to effectively solve the AI problems.</li><li>Productionise and launch new AI integrations into the core product.</li><li>Collaborate with cross-functional teams to deliver product features on time.</li><li>File for patents and publish research papers at AI conferences.</li></ul>
 Product Mindset <ul><li>Actively engage with user feedback, collaborate with cross-functional teams, and leverage data-driven insights to build AI solutions that align with user needs and business objectives.</li></ul>
 Customer Success <ul><li>Assist clients with necessary support needed for smooth understanding and testing of our products.</li><li>Ensure customer satisfaction and best-in-class performance of the developed solutions by continuously seeking feedback from customers, product teams, internal and external benchmarks</li></ul>
 Team Growth <ul><li>Contribute to the growth of the AI team through proactive effort on staying up-to-date with the latest AI technologies and trends, process improvements, and performance enhancements on existing solutions.</li><li>Help recruit new interns and mentor junior engineers/interns to help them achieve their goals and grow.</li></ul>
 What we need from you - Domain expertise and experience: <ul><li>Deep understanding of ML, DL, and NLP, with a strong mathematical background in linear algebra, probability, and calculus</li><li>2-4 years of hands-on full-time industry experience after graduation (on ML/DL) building, evaluating, and iterating on neural network architectures that effectively solve the problem, working with data teams to collect and organize the data needed for the task at hand and contributing to end-to-end product/feature development</li><li>Hands-on experience deploying and maintaining AI models in production.</li><li>Built at least 1 product using LLMs gone live with actual clients/customers and are fluent with the recent advancements in the field.</li><li>Highly proficient in Python</li><li>You've worked previously in a fast-paced environment as the primary contributor of a critical product</li></ul>
 Ownership: <ul><li>You love owning things end-to-end, are detail-oriented, self-driven, feel excited about the idea of working in a fast-paced environment and have a strong bias for action.</li></ul>
 Problem-solving: <ul><li>You approach problems holistically, starting from first principles, with a clear and accurate understanding of the context. You think critically about the implications of what you're building and how it will impact real people's lives.</li></ul>
 Impact-orientation and growth mindset: <ul><li>You care about having a real-world impact through what you build and understand the balance between craft, speed, and the bottom line. You enjoy learning and can easily learn whatever is needed. To you, technologies are about tools and tradeoffs, not an ideology.</li></ul>
 Energetic Communication: <ul><li>You are a proactive communicator who keeps everyone in the loop, does not require incessantly frequent follow-ups, gels well in a team environment and has the ability to energise yourself!</li></ul>
 Even if you match a few aspects, please consider applying. If you’re a builder at heart, share our company values, and enthusiastic about solving meaningful problems, we want to hear from you!
 
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<div class="content-intro">Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.</div>As a Technical Director in the Safety organization at Roblox, you will drive the overall technical vision and execution for all machine learning initiatives focused on maintaining the safety and civility of our users. Our industry-leading safety features ensure Roblox remains a safe and inclusive environment for our community to express themselves creatively and share experiences without fear. The Safety org is the reason why Roblox is the safest place on the internet, protecting users You will be reporting to the VP of Engineering for Trust and Safety.from a content-focused perspective as the platform scales to serve different age groups and geographic locations. <h2>You Will:</h2> <ul> <li>Own the technical direction and implementation of machine learning solutions for safety-related systems</li> <li>Lead and mentor other engineers, fostering a culture of technical excellence and inclusivity</li> <li>Break down long-term product requirements into iterative deliverable stages, ensuring continuous improvement</li> <li>Craft and build large-scale machine learning models with billions of parameters, ensuring production-readiness</li> <li>Facilitate challenging technical decisions across multiple teams, demonstrating empathy and finding common understanding</li> <li>Collaborate with cross-functional teams to define and prioritize the machine learning roadmap</li> </ul> <h2>You Have:</h2> <ul> <li>15+ years of experience delivering and improving large-scale machine learning systems</li> <li>Proven expertise in creating and launching machine learning models from scratch</li> <li>Ability to handle data problems, train models with large datasets, and ensure system reliability at scale</li> <li>Experience with distributed systems, data architecture, and model extraction</li> <li>Strong programming skills and willingness to be hands-on as necessary</li> <li>Prior experience in a leadership role with a technical focus, including mentoring engineering teams</li> </ul> <h2>You Are: </h2> <ul> <li>A creative and strategic problem-solver, able to simplify complex issues while integrating fresh ideas</li> <li>Committed to fostering a diverse and inclusive workplace where everyone feels valued and supported</li> <li>Passionate about maintaining deep technical expertise while meeting end-user needs</li> <li>Knowledgeable about cutting-edge ML technologies, including LLMs</li> <li>Experienced in NLP or computer vision (preferred)</li> <li>Familiar with maintaining and evolving safety systems at scale (preferred)</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description">For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits.</div><div class="title">Annual Salary Range</div><div class="pay-range">$391,590—$448,990 USD</div></div></div><div class="content-conclusion">Roles that are based in our San Mateo, CA Headquarters are in-office Tuesday, Wednesday, and Thursday, with optional in-office on Monday and Friday (unless otherwise noted). You’ll Love: <ul> <li>Industry-leading compensation package</li> <li>Excellent medical, dental, and vision coverage</li> <li>A rewarding 401k program</li> <li>Flexible vacation policy (varies by exemption status)</li> <li>Roflex - Flexible and supportive work policy </li> <li>Roblox Admin badge for your avatar</li> <li>At Roblox HQ: </li> <ul> <li>Free catered lunches five times a week and several fully stocked kitchens with unlimited snacks</li> <li>Onsite fitness center and fitness program credit</li> <li>Annual CalTrain Go Pass</li> </ul> </ul> Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations for all candidates during the interview process.</div>

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