Sr Machine Learning Engineer Jobs

Sr. QA Engineer - Machine Learning Platform for E-Commerce

AppIQ Tech is seeking a meticulous and strategic QA Engineer / Sr. QA Engineer to ensure the quality and reliability of our Machine-Learning-driven e-commerce funnel optimisation and digital advertising platform. You will be responsible for defining the testing strategy for high-performance applications that leverage our proprietary Predictive AI solutions. As a key member of our fast-paced startup, you will balance the need for rapid feature deployment with the necessity of thorough testing. You will be responsible for identifying and prioritising the highest-risk bugs to ensure our scalable services, which manage millions of daily events, remain robust and accurate. QA Architecture \& Strategy: Develop and maintain a comprehensive QA architecture that supports full-stack applications and complex microservices. Risk Management: Prioritise bug fixes based on risk of failure and potential impact, while striking a productive balance between speed-to-market and exhaustive testing. Test Management: Utilise test case management (TCM) systems such as TestRail, Zephyr, Xray, PractiTest, qTest, or similar to organise test cases, track execution, and provide transparent reporting on quality metrics. Automated Testing: Design, implement, and scale automated test suites using tools such as Playwright, Cypress, and Appium. Testing \& Validation: Perform rigorous unit tests and integration tests on applications built with TypeScript, React, Node.js, Python, and PySpark. Infrastructure Testing: Verify the reliability of deployments across AWS (EC2, S3, Firehose) and Cloudflare edge environments. Data Integrity: Collaborate with Data Engineers to validate the accuracy of complex event data and real-time reporting dashboards. Cross-Functional Collaboration: Act as a great team player with excellent communication skills, working closely with developers and data scientists to ensure a seamless end-user experience. Requirements 4+ years of professional experience in software quality assurance or engineering, with a strong focus on scalable web applications (7+years for Sr. QA Engineer). Strong grasp of QA architecture and modern testing methodologies. Deep expertise in the tech stack used by our engineers, specifically TypeScript, React, Node.js, Python, and PySpark. Cloud \& Database Proficiency: Familiarity with AWS services and both SQL and NoSQL (e.g., MongoDB) databases to effectively test data persistence and performance. Global Collaboration: Ability to work effectively with globally distributed teams. Native or Business-level proficiency in written and spoken English Strong plus if you also have: AI/ML Literacy: Understanding of Machine Learning (Supervised/Reinforcement Learning), Predictive AI, and the validation of Data Pipelines. Proficiency in Python or experience with PySpark. Prior experience in the e-commerce or Ad Tech ecosystem (DSPs, Audience Data, Fraud detection). Benefits The opportunity to shape the QA culture and architecture from the ground up. An attractive career path on either a management or an individual contributor track. Genuine learning, training and development opportunities, supported by regular performance reviews Competitive compensation and generous paid time off. Work-from-anywhere flexibility * Opportunities to develop expertise in building cutting-edge predictive AI applications.

QA Engineer / Sr. QA Engineer - Machine Learning Platform for E-Commerce

AppIQ Tech is seeking a meticulous and strategic QA Engineer / Sr. QA Engineer to ensure the quality and reliability of our Machine-Learning-driven e-commerce funnel optimisation and digital advertising platform. You will be responsible for defining the testing strategy for high-performance applications that leverage our proprietary Predictive AI solutions. As a key member of our fast-paced startup, you will balance the need for rapid feature deployment with the necessity of thorough testing. You will be responsible for identifying and prioritising the highest-risk bugs to ensure our scalable services, which manage millions of daily events, remain robust and accurate. QA Architecture \& Strategy: Develop and maintain a comprehensive QA architecture that supports full-stack applications and complex microservices. Risk Management: Prioritise bug fixes based on risk of failure and potential impact, while striking a productive balance between speed-to-market and exhaustive testing. Test Management: Utilise test case management (TCM) systems such as TestRail, Zephyr, Xray, PractiTest, qTest, or similar to organise test cases, track execution, and provide transparent reporting on quality metrics. Automated Testing: Design, implement, and scale automated test suites using tools such as Playwright, Cypress, and Appium. Testing \& Validation: Perform rigorous unit tests and integration tests on applications built with TypeScript, React, Node.js, Python, and PySpark. Infrastructure Testing: Verify the reliability of deployments across AWS (EC2, S3, Firehose) and Cloudflare edge environments. Data Integrity: Collaborate with Data Engineers to validate the accuracy of complex event data and real-time reporting dashboards. Cross-Functional Collaboration: Act as a great team player with excellent communication skills, working closely with developers and data scientists to ensure a seamless end-user experience. Requirements 4+ years of professional experience in software quality assurance or engineering, with a strong focus on scalable web applications (7+years for Sr. QA Engineer). Strong grasp of QA architecture and modern testing methodologies. Deep expertise in the tech stack used by our engineers, specifically TypeScript, React, Node.js, Python, and PySpark. Cloud \& Database Proficiency: Familiarity with AWS services and both SQL and NoSQL (e.g., MongoDB) databases to effectively test data persistence and performance. Global Collaboration: Ability to work effectively with globally distributed teams. Native or Business-level proficiency in written and spoken English Strong plus if you also have: AI/ML Literacy: Understanding of Machine Learning (Supervised/Reinforcement Learning), Predictive AI, and the validation of Data Pipelines. Proficiency in Python or experience with PySpark. Prior experience in the e-commerce or Ad Tech ecosystem (DSPs, Audience Data, Fraud detection). Benefits The opportunity to shape the QA culture and architecture from the ground up. An attractive career path on either a management or an individual contributor track. Genuine learning, training and development opportunities, supported by regular performance reviews Competitive compensation and generous paid time off. Work-from-anywhere flexibility * Opportunities to develop expertise in building cutting-edge predictive AI applications.

Sr. Research Engineer, Machine Learning, AGI Foundations

DESCRIPTION --------------- The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Research Engineer with a strong hands-on machine learning background, to lead the development of industry-leading multimodal large-language foundational models (LLMs). As a Senior RE with the AGI team, you will be responsible for leading the development of novel algorithms and modeling techniques to advance the state of the art. Your work will directly impact our customers and will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (Gen AI). You will have significant influence on our overall strategy by working at the intersection of engineering and applied science to scale pre and post-training workflows and build efficient models. You will drive the system architecture, and spearhead the best practices that enable a quality infrastructure. The ideal candidate is clearly passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high performance products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment where priorities shift fast. Key job responsibilities Responsible for pre and post-training multimodal LLMs. Scale training of models on hyper large GPU and AWS Trainium clusters Optimize training workflows using distributed training/parallelism techniques Optimize low-level details of the training stack, including CUDA kernels, communication collectives, network I/O. Utilize, build and extend upon industry leading frameworks (NeMo, Megatron Core, PyTorch, Jax, vLLM, TRT, etc) Work with other team members to investigate design approaches, prototype new technology, scientific techniques and evaluate technical feasibility Deliver results independently in a self organizing Agile environment while constantly embracing and adapting new scientific advances About the team The AGI Foundations team is responsible for building industry leading Generative AI Foundational Models.BASIC QUALIFICATIONS ------------------------ 5+ years of non-internship professional software development experience 5+ years of programming with at least one software programming language experience 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS ---------------------------- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Master's degree in machine learning or equivalent Hands-on experience and expertise in training Foundational Models/LLMs, and/or low-level optimization of ML training workflows, CUDA kernels, network I/O. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life \& AD\&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, CA, Sunnyvale - 193,300.00 - 261,500.00 USD annually USA, MA, Boston - 168,100.00 - 227,400.00 USD annually USA, NY, New York - 184,900.00 - 250,200.00 USD annually USA, WA, Bellevue - 168,100.00 - 227,400.00 USD annually

Sr. Research Engineer, Machine Learning, AGI Foundations

DESCRIPTION --------------- The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Research Engineer with a strong hands-on machine learning background, to lead the development of industry-leading multimodal large-language foundational models (LLMs). As a Senior RE with the AGI team, you will be responsible for leading the development of novel algorithms and modeling techniques to advance the state of the art. Your work will directly impact our customers and will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (Gen AI). You will have significant influence on our overall strategy by working at the intersection of engineering and applied science to scale pre and post-training workflows and build efficient models. You will drive the system architecture, and spearhead the best practices that enable a quality infrastructure. The ideal candidate is clearly passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high performance products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment where priorities shift fast. Key job responsibilities Responsible for pre and post-training multimodal LLMs. Scale training of models on hyper large GPU and AWS Trainium clusters Optimize training workflows using distributed training/parallelism techniques Optimize low-level details of the training stack, including CUDA kernels, communication collectives, network I/O. Utilize, build and extend upon industry leading frameworks (NeMo, Megatron Core, PyTorch, Jax, vLLM, TRT, etc) Work with other team members to investigate design approaches, prototype new technology, scientific techniques and evaluate technical feasibility Deliver results independently in a self organizing Agile environment while constantly embracing and adapting new scientific advances About the team The AGI Foundations team is responsible for building industry leading Generative AI Foundational Models.BASIC QUALIFICATIONS ------------------------ 5+ years of non-internship professional software development experience 5+ years of programming with at least one software programming language experience 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS ---------------------------- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Master's degree in machine learning or equivalent Hands-on experience and expertise in training Foundational Models/LLMs, and/or low-level optimization of ML training workflows, CUDA kernels, network I/O. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life \& AD\&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, CA, Sunnyvale - 193,300.00 - 261,500.00 USD annually USA, MA, Boston - 168,100.00 - 227,400.00 USD annually USA, NY, New York - 184,900.00 - 250,200.00 USD annually USA, WA, Bellevue - 168,100.00 - 227,400.00 USD annually

Sr. AI/Machine Learning Engineer - Supply Chain

Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the sa

Sr. Machine Learning Firmware Engineer

Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the sa

Sr. Software Engineer, Machine Learning

From $201/yr

Sr. Software Engineer, Machine Learning Palo Alto, California Tinder – Engineering / Full-time / Hybrid Our Mission Launched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe”™" Our Values One Team, One Dream We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission. Own It We take accountability and strive to make a positive impact in all aspects

Sr. Machine Learning Engineer

From $150,000/yr

Who we are Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot.Typeform is fully remote by design. For this role, we can hire candidates based in the UK, Ireland,

Sr Machine Learning Engineer

Senior Machine Learning Engineer - Ads R&D New York, NY Engineering – Advertising R&D / Permanent / Remote Our mission on the Advertising Product & Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for hundreds of millions of fans and hundreds of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities for our artists and creators. We are seeking a Senior Machine Learning Engineer to join the Ad Engagement squad. Ad Engagement focuses on using machine learning to accurately predict how Spotify listeners will react to ads, helping advertisers minimize their costs while delivering a more relevant and enjoyable ad experience for listeners. Our core innovations include Multi-Task Learning models (MTL), and we are expanding into scalable sequence modeling with complex transformer architectures. Recently, we presented a paper about