Senior Machine Learning Engineer - AI/ML Expertise

About WisdomAIAt WisdomAI, we are dedicated to democratizing data insights, empowering individuals and organizations to make informed decisions. Our innovative approach leverages Generative AI to revolutionize how employees access and interpret data insights. Join our growing team at an exciting time, as we collaborate with several Fortune 100 companies, allowing you to have a significant impact on the product and engineering roadmap.Role OverviewWe are in search of talented and driven NLP/Machine Learning interns to contribute to our exciting projects. You will engage in solving core challenges related to LLM-based code generation, document comprehension, context synthesis, and LLM-driven agents. Our team comprises experts from renowned organizations such as Glean, Apple, Rubrik, Google, and Meta.Key ResponsibilitiesDevelop, train, and fine-tune NLP/ML models for tasks including natural language queries, document understanding, and metric extraction.Create workflows and agentic pipelines for complex analytical processes.Design and implement evaluation frameworks to assess our query processing engine.Collaborate with team members to define and implement features in the WisdomAI product that utilize NLP capabilities, such as natural language query parsing and semantic modeling.Keep abreast of the latest developments in NLP/ML techniques, including research papers, tools, and open-source frameworks.QualificationsDemonstrated strong analytical skills with a proven ability to tackle complex NLP challenges.Familiarity with search/retrieval systems, LLMs, and evaluation pipelines is advantageous.Experience in a startup or fast-paced environment is highly desirable.Pursuing a Bachelor's or Master's degree in Computer Science or a related field.

Join Us at WisdomAIAt WisdomAI, we are dedicated to democratizing access to data and insights for everyone. We believe that data has the potential to transform decision-making, and with the advent of Generative AI, we aim to revolutionize how employees uncover insights within their organizations. As we grow, now is an exciting time to join our team. We proudly serve multiple Fortune 100 companies and as one of the early members, you will have the opportunity to significantly influence our product and engineering roadmap.Your RoleWe are in search of talented ML/NLP engineers to become part of our dynamic team. Our focus lies in tackling fundamental challenges in areas such as LLM-based code generation, document understanding, context synthesis, and LLM-based agents. Our team comprises professionals with backgrounds from industry leaders like Glean, Apple, Rubrik, Google, and Meta.Key ResponsibilitiesDevelop workflows and agentic pipelines for complex analytical tasks.Create and implement evaluation frameworks for our query processing engine.Collaborate closely with customers and founders to shape the product and engineering roadmap.Contribute to cultivating a robust engineering culture and enhancing our tech stack.

Join FiniteHR Consulting as an NLP Data Scientist and be at the forefront of artificial intelligence innovation. In this role, you will leverage your expertise in Natural Language Processing to develop cutting-edge solutions that drive business insights and enhance user experiences. Collaborate with cross-functional teams to analyze complex data sets and create models that understand and generate human language.

Join our dynamic team at Sumo Logic as a Senior Machine Learning Engineer, where you will play a pivotal role in designing and implementing cutting-edge machine learning models to drive our product innovations. Collaborate with talented professionals in a fast-paced environment and leverage your expertise to solve complex problems and enhance data-driven decision-making across the organization.

Join Continental as an IT Engineer specializing in Machine Learning, where you will leverage cutting-edge technologies to enhance our innovative solutions. As part of our dynamic team in Bengaluru, you will work on developing and implementing machine learning models, contributing to projects that have a significant impact on the automotive industry.

Join Endava as a Senior Machine Learning Engineer and play a pivotal role in developing innovative machine learning solutions that drive our clients' success. In this position, you will leverage your expertise in algorithms, data modeling, and statistical analysis to create predictive models and enhance decision-making processes.You will collaborate with cross-functional teams to implement state-of-the-art machine learning techniques and contribute to the design and architecture of scalable data systems. If you are passionate about machine learning and eager to deliver impactful results, we want to hear from you!

Nielsen Company is seeking a Lead Machine Learning Engineer to join the team in Bengaluru. This individual contributor role centers on building advanced machine learning solutions that shape products and services throughout the organization. Key responsibilities Design and deploy scalable machine learning models for practical use cases Collaborate with teams from different functions to embed machine learning into core offerings Use deep knowledge of machine learning to inform data-driven decisions Location This position is located in Bengaluru.

About EarnInEarnIn is a trailblazer in the earned wage access space, dedicated to creating innovative financial solutions that provide real-time flexibility for individuals navigating the challenges of living paycheck to paycheck. Our platform empowers users to access their hard-earned wages as they earn them, enabling them to manage their finances with ease—without hidden fees, interest rates, or credit checks.We take pride in our robust leadership team and our partnerships with top-tier investors such as A16Z, Matrix Partners, DST, and Ribbit Capital. Our sound business model ensures a strong foundation for growth, making us an exciting place for talented individuals to contribute to our journey as we expand.POSITION SUMMARYAs a pivotal member of our team, the Head of Machine Learning in India will oversee the critical machine learning systems integrated into our fintech platform. These systems are essential for enhancing business decisions and enriching customer experiences across various domains—risk management, fraud detection, growth strategies, personalization, and operational efficiency. The successful candidate will ensure the reliability, performance, and scalability of these systems, translating cutting-edge research into high-performance production solutions. This position requires extensive experience in deploying machine learning at scale, a knack for thriving in dynamic environments, and a balance of theoretical knowledge with strong engineering instincts.As EarnIn continues to expand its footprint in India, you will lead a high-performing machine learning team with significant potential for growth. In your capacity as the senior ML leader on-site, you may also assume site leadership responsibilities, working closely with HR and Talent Acquisition to foster a positive culture and enhance team engagement. This role will operate on a hybrid basis from our Bengaluru office, with at least two days in the office per week. EarnIn offers competitive employee benefits, including healthcare coverage, reimbursement for internet and cell phone expenses, a learning and development stipend, and opportunities for collaboration and travel to our headquarters in Mountain View and our office in Bangkok. Our salary ranges are determined by role, level, and location.

About Cognite Cognite builds AI and data solutions for industrial digitalization. The company draws on its industrial background to deliver tools that help organizations address complex challenges. With offerings such as low-code AI agents, Cognite supports digital transformation and operational improvement across sectors. The team values persistence and growth through challenge. Those who see obstacles as opportunities tend to thrive here. Cognite’s goal is ambitious: unlock $100 billion in customer value by 2035 and help reshape the global industrial landscape. Learn more about this vision in their newsroom.

Collaboration Fuels Our Innovation. Join Roku in Transforming the Future of TelevisionAs the leading TV streaming platform across the U.S., Canada, and Mexico, Roku is on a mission to revolutionize how the world engages with television. Our innovative platform connects viewers with the content they cherish, empowers content creators to grow and profit from their audiences, and provides advertisers with unique tools to connect with consumers.From the moment you join Roku, your contributions will be recognized and valued. We are a dynamic, rapidly growing public company where every team member plays a crucial role. Enjoy the opportunity to impact millions of TV viewers globally while gaining invaluable experience across various fields. About the TeamRoku continues to innovate and lead the industry in television streaming. Our success depends on our commitment to enhancing our machine learning capabilities. With millions of content options available, our Content Platform is essential for integrating content into the Roku ecosystem, ensuring customer satisfaction. We are currently seeking a Senior Machine Learning / AI Engineer for the Content Platform to spearhead further advancements. About the RoleAs we continue to define the future of television, including advancements in TV advertising, our ongoing success hinges on our investment in machine learning. The Roku Content Platform plays a pivotal role in delivering diverse content experiences to our users. We are looking for a talented Senior Machine Learning / AI Engineer to develop a content knowledge platform that provides insights to downstream systems, enhancing user experiences through Search, Recommendations, Ads, and Voice functionalities.

Join Bazaarvoice as a Senior Machine Learning Engineer and help shape the future of smart shopping experiences. In this pivotal role, you will leverage your expertise in machine learning and artificial intelligence to design and implement innovative solutions that connect brands with consumers, enhancing their shopping journey. You will be part of a dynamic team focused on harnessing user-generated content to create impactful insights and drive business growth. Work in a collaborative environment where your contributions are valued, and take part in solving the challenge of establishing genuine connections between brands and consumers.

Join our dynamic team at Code and Theory as a Lead Machine Learning Engineer, where your expertise in large language models (LLMs), multi-agent systems, and flow engineering will drive innovation and success. We are looking for a PhD-level professional who not only possesses strong technical skills but also has a passion for mentoring and guiding our machine learning team while advocating for the latest technologies.Key Responsibilities:Lead the technical innovation process, fostering strong relationships to ensure the effective development and deployment of cutting-edge LLMs.Collaborate with cross-functional teams and stakeholders to seamlessly integrate LLMs into diverse applications and workflows, offering expert technical guidance and support.Formulate and implement extensive testing strategies to validate the performance and efficacy of LLMs across various applications.Innovate by designing and developing unique LLM architectures that align with specific business objectives and identify enhancement opportunities within existing models.Stay ahead of industry trends by researching and exploring new methodologies, algorithms, and tools.Identify, curate, and manage high-quality datasets relevant to business goals, suitable for training, validating, and testing LLMs.Investigate alternative data sources, create synthetic datasets, and develop bespoke data generation techniques.

Transforming the quality of human interactions through advanced conversational AI.Machine Learning Engineer - GeneralistLocation: Bengaluru, IndiaExperience: 5 to 10+ yearsAbout the Team:The team at Symbl.ai is a vibrant and innovative group of specialists committed to enhancing the field of Conversational AI. We prioritize creativity and collaboration, striving to redefine the landscape of AI-driven communication technologies.About the Role:As a Machine Learning Engineer - Generalist at Symbl.ai, you will be instrumental in refining and expanding our Conversational AI platform, particularly focusing on our latest product, Nebula. You will engage in exciting projects that encompass machine learning and the unique features of Nebula, significantly contributing to the advancement of our technology stack.Key Responsibilities:Collaborate with cross-disciplinary teams to design and implement machine learning algorithms and models for Nebula and related Conversational AI projects.Develop and enhance data pipelines and workflows that facilitate machine learning model training and deployment.Participate in the design and architecture of Nebula's features, utilizing machine learning methodologies to improve functionality.Conduct experimental analyses to boost model performance and accuracy, iterating on algorithms and approaches as necessary.Contribute to the assessment and integration of third-party tools and libraries to strengthen our ML framework.Stay updated on the latest trends in machine learning and AI research, integrating new techniques and methodologies into our initiatives as needed.Why Join Us?By joining Symbl.ai, you will be at the cutting edge of Conversational AI innovation, playing a crucial role in shaping the future of communication with state-of-the-art technology. You will have the opportunity to make a meaningful impact on the development of Nebula and other pioneering projects.

CommerceIQ develops an AI platform designed to help major global brands optimize their operations and sales. The platform features AI agents that assist with content management, media planning, and sales processes.These AI solutions connect directly with the daily workflows of Fortune 100 companies, supporting their teams in managing complex business activities more efficiently.LocationThis position is based in Bengaluru, Karnataka, India.

IntroductionAbout UsFounded in 2013, Mercari is a leading C2C marketplace based in Japan, driven by our mission to "Create value in a global marketplace where anyone can buy & sell." Since our inception, we have evolved into a prominent global player, achieving remarkable milestones such as being the first Japanese tech unicorn before our IPO in 2018. Our journey continues as we strive to expand our presence and services worldwide.Over the years, the Mercari Group has continually invested in our people and technology, transitioning from Japan's top C2C marketplace to new markets like the U.S. We have also introduced innovative services like Merpay, a mobile payment platform aimed at fostering a society where everyone can achieve their dreams through a comprehensive ecosystem, encompassing payment services and credit facilitation. Today, the Mercari Group encompasses various subsidiary businesses, including logistics, B2C platforms, blockchain, and sports team management.As we aim to enhance our services for a global audience, we recognize the need for top-tier talent. This is the motivation behind launching our India Center of Excellence. Together, we can rise to international challenges and pave the way for Mercari to become a successful global tech enterprise.Our CultureAt Mercari, our organizational culture and each employee's values guide our mission. Our core principles are encapsulated in four key values: Go Bold, All for One, Be a Pro, and Move Fast. Our foundational pillars include Sustainability, Diversity & Inclusion, Trust & Openness, and Well-being for Performance. Regardless of our growth, maintaining our culture is vital to our mission. We invite you to explore the Mercari Culture Document, which outlines the behaviors and mindset that define Mercari and its employees. We are committed to fostering an environment where members from diverse backgrounds are embraced and acknowledged, allowing them to flourish while upholding Mercari's culture.Work ResponsibilitiesAs a Machine Learning Engineer specializing in the Recommendation domain, you will be responsible for developing and enhancing the functions and services of the Mercari marketplace app by building and maintaining advanced machine learning systems such as recommender systems, utilizing the necessary infrastructure and collaborative efforts within the company.

Cerebras Systems is revolutionizing the AI landscape with the world's largest AI chip, boasting a size 56 times greater than traditional GPUs. Our cutting-edge wafer-scale architecture delivers the computational power equivalent to dozens of GPUs on a single chip, while simplifying programming through a unified device interface. This innovative approach enables Cerebras to achieve unparalleled training and inference speeds, allowing machine learning practitioners to seamlessly deploy large-scale ML applications without the complexities of managing numerous GPUs or TPUs.Cerebras counts among its clients leading model labs, multinational corporations, and pioneering AI startups. Notably, OpenAI has recently formed a multi-year alliance with Cerebras to harness 750 megawatts of capacity, redefining essential workloads with rapid inference capabilities.Our groundbreaking wafer-scale architecture positions Cerebras Inference as the fastest Generative AI inference solution globally, achieving speeds more than 10 times quicker than GPU-based hyperscale cloud inference services. This dramatic enhancement in processing speed transforms the experience of AI applications, facilitating real-time iteration and amplifying intelligence through additional agentic computation.About The RoleAs a Research Engineer on the Inference ML team at Cerebras Systems, you will be tasked with adapting the most sophisticated language and vision models to optimize performance on our flagship Cerebras architecture. Collaborating closely with ML researchers and engineers, you will design, prototype, validate, and enhance models, gaining comprehensive exposure to advanced inference research on the world's fastest AI accelerator.

About AiDASHAiDASH is a pioneering enterprise AI firm that specializes in providing vegetation risk intelligence for electric utilities. Utilizing our exclusive VegetationAI™ technology, we deliver a comprehensive remote grid inspection and monitoring platform that adopts a SatelliteFirst approach to identify and mitigate vegetation and other hazards impacting the grid. Our proactive strategy minimizes wildfire risks and reduces the effects of storms, enabling over 140 utilities to cut costs, enhance reliability, and lower liabilities across their infrastructure. AiDASH is dedicated to protecting critical utility systems and ensuring a sustainable future for humanity. Discover more at www.aidash.com.As a Series C growth company, we are supported by esteemed investors, including Shell Ventures, National Grid Partners, G2 Venture Partners, Duke Energy, and others. We are honored to be recognized by Forbes for two consecutive years as one of “America’s Best Startup Employers” and to feature in Time Magazine’s “America’s Top GreenTech Companies 2024.” Recently, Deloitte Technology Fast 500™ ranked us No. 12 among companies in the San Francisco Bay Area and No. 59 overall among their top 500 for 2024.Join us in Securing Tomorrow!The RoleWe are seeking a highly experienced Staff Machine Learning Engineer to define and expand the core of our production ML ecosystem. In this capacity, you will design high-performance ML systems that drive our geospatial intelligence platform, converting extensive satellite and aerial imagery into actionable insights. Your responsibilities will encompass complete ownership—from model deployment and MLOps to infrastructure design—while collaborating closely with data science, platform engineering, and product teams to deliver dependable, scalable, and cost-effective ML solutions. If you excel at the intersection of advanced technical knowledge, system architecture, and cross-functional teamwork, this opportunity is for you.How You'll Make an Impact:ML System Architecture & Production DeploymentDesign, build, and maintain end-to-end ML pipelines for batch processing...

Teamwork makes the stream work. Roku is revolutionizing the way the world engages with television.As the leading TV streaming platform in the U.S., Canada, and Mexico, we aim to empower every television globally. Roku has been at the forefront of streaming technology, and our mission is to be the ultimate TV streaming ecosystem. We connect viewers with their favorite content, offer content creators a platform to build and monetize their audiences, and provide advertisers with unique engagement opportunities.From day one at Roku, your contributions will be recognized and valued. We are a rapidly expanding public company where every individual plays a pivotal role. Join us in bringing joy to millions of TV streamers while gaining invaluable experience across various disciplines. About the RoleWe are on the lookout for an exceptional and innovative Machine Learning Platform Engineer to join Roku's Recommendation team. In this position, you will design, construct, and scale robust distributed systems that deliver personalized content recommendations to millions of Roku users. Your focus will be on developing comprehensive machine learning platforms and infrastructure that ensure seamless deployment, monitoring, and optimization of algorithms and operational workflows, providing unique experiences at scale.What You'll Be DoingDesign, develop, and maintain scalable platform services, such as feature stores, real-time inference services, and vector databases, capable of handling millions of transactions per second.Execute and monitor online A/B tests using robust platform services while analyzing platform metrics and business KPIs to enhance recommendation system performance.Collaborate closely with U.S.-based engineering and cross-functional teams to convert business requirements into modular platform components and APIs.Advance and evolve the ML platform ecosystem to support high developer velocity, system scalability, and adaptability to future business needs.Contribute to onboarding, training, and mentoring new team members on emerging platform engineering best practices and technologies.We’re excited if you have5+ years of experience building...

Teamwork makes the stream work. Roku is transforming the way the world experiences television.As the leading TV streaming platform in the U.S., Canada, and Mexico, Roku aims to empower every television globally. We have pioneered streaming to the TV and strive to be the platform that connects the entire TV ecosystem. Our mission is to connect consumers with their favorite content, assist content publishers in growing and monetizing their audiences, and provide advertisers with unique ways to engage consumers.From your first day with Roku, your contributions will be valued. As a rapidly growing public company, we encourage active participation from all team members. This role offers you the chance to make an impact on millions of TV streamers worldwide while gaining valuable experience across various disciplines. About the Team The Advertising Performance team is dedicated to optimizing the experience for Advertisers, Publishers, and Roku. Our systems and solutions employ advanced disciplines and technologies to achieve real-time multi-objective optimization within distributed systems, ensuring large-scale performance with minimal latency. Leveraging Machine Learning, Reinforcement Learning, AI, Control, and Optimization Systems, and Auction Dynamics, we tackle a wide array of complex challenges. Central to our operations is the Machine Learning, Experimentation, and Inference Platform, which we continuously enhance to adapt to the evolving landscape. About the Role In this position, you will play a pivotal role in developing cutting-edge machine learning solutions...