Senior Machine Learning Engineer, AI Platform

Smartly

We are looking for a Senior Software Engineer to join the AI Platform Team at Smartly! Our team works on helping marketers make the most of their ad creatives (images, video, text) and campaigns (product and performance data). We build and experiment with AI-based solutions across the media and creative workflows.You will have the opportunity to take ownership of and work on high impact projects. Join us in building high impact ML-based solutions to help our customers to build better and more effective advertising experiences for their consumers. If you’re a growth minded individual who has a passion for ML and the marketing space, this team is for you! We use Python, TypeScript, PostgreSQL, Node.js, Docker and Kubernetes for our microservices, TypeScript and React in the frontend of our products. HERE'S WHAT YOU'LL DO... * Design, build and maintain backend services that sit at the core of Smartly.io’s campaign optimization products. * Be a core contributor of our team and our ways of working to build high impact products. You’ll actively be involved in work planning, retrospectives, and overall team improvement. * Support data scientists in bringing machine learning models to production. * Mentor your team on software development practices and propagate best practices like testing, monitoring, or clean code. * Use your skills and experience to continuously improve our software architecture, coding practices, tools, and processes. * Work with our stakeholders - be them product, engineering, infrastructure - to ensure we meet customers where they are. Being able to translate business/product needs to viable solutions is a must. * Apply and enhance your soft skills through working closely with your colleagues and our customers. Doing knowledge shares, running productive meetings, and pair programming/debugging are just some ways we grow our soft skills. * Impact the daily life of the staff of the hundreds of advertisers using Smartly HERE'S WHAT WE'RE LOOKING FOR... * We’re seeking an experienced Software Engineer with Strong Python skills * 5+ years of experience developing and deploying production-quality software * 2+ years of experience working with cloud infrastructure such as AWS or GCP * Experience with NodeJS, React, TypeScript is a plus * Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) is a plus * Knowledge of MLOps concepts and tools (e.g., MLflow, Kubeflow) is a plus * Experience developing and maintaining services under SLA * Analytical mindset with a problem-solving approach * Passion for solving customer challenges quickly while making thoughtful architectural decisions * Adaptability and resilience when facing new or ambiguous challenges * Strong written and verbal communication skills in English * Ability to work 3 days / week at our office * M.Sc. in a relevant field is preferred WHAT WE OFFER YOU... * Inclusive Culture: Join a team of over 750 Smartlies representing more than 60 nationalities across 24 locations in 13 countries, we foster a culture built on trust, transparency, and open feedback. * Global Impact: Be part of a company making a global impact, directly influencing our customers and business growth. * Wellbeing Focus: Enjoy generous healthcare packages, mental health services, and a healthy work-life balance with paid holidays and family leave. * Total Rewards: Benefit from equity options, performance-based rewards, competitive compensation, and ample career development opportunities. * Hybrid Workplace: Experience the flexibility of a hybrid work model, balancing office and remote work, with the option to work abroad for up to 30 days. Smartly is committed to being the best place to work for growth-minded individuals to thrive. Explore more in our Culture Handbook! #LI-hybrid #LI-JF2   ABOUT SMARTLY Smartly is the AI-powered advertising technology company transforming ad experiences for brands and their consumers. Our comprehensive advertising platform seamlessly integrates the capabilities of media, creative, and intelligence to power more than 800 billion impressions and generate more than 300 billion creatives annually, delivering tangible business outcomes for brands and advertisers. Smartly is the only company in the industry recognized as a Leader in The Forrester Wave: Creative Advertising Technologies with PwC validating the results it delivers for brands. We manage creative and media for 700+ brands worldwide and $6B in ad spend across the largest media platforms, including Facebook, Google, Instagram, Pinterest, Snap, and TikTok. Our end-to-end technology, unmatched access to media platforms and exceptional customer service help Fortune 500 brands to reach and engage consumers and learn what performs best.Smartly is a multinational and diverse team of 750+ Smartlies from 60+ nationalities, working in 13 countries. Together, we want to create and maintain an inclusive environment where everyone feels respected and heard. Our Diversity, Equity & Inclusion approach is at the heart of it. Visit Smartly to learn more. The processing of your information is described in our Candidate Privacy Notice.

Smartly

We are looking for a Senior Machine Learning Engineer to join the AI Platform Team at Smartly! Our team works on helping marketers make the most of their ad creatives (images, video, text) and campaigns (product and performance data). We build and experiment with AI-based solutions across the media and creative workflows.You will have the opportunity to take ownership of and work on high impact projects. Join us in building high impact ML-based solutions to help our customers to build better and more effective advertising experiences for their consumers. If you’re a growth minded individual who has a passion for ML and the marketing space, this team is for you! AS A SENIOR MACHINE LEARNING ENGINEER, YOU’LL: * Build ML-based software systems that enable our users to craft great advertising experiences and campaigns  * Work with a large span of datasets from image to video to audio to text to structured performance data. * Contribute to and strengthen Smartly’s MLOps + data platform. You’ll work alongside our stellar senior machine learning engineers, data scientists, and software engineers to enable us to productionize AI/ML applications more robustly and efficiently. * Be a core contributor of our team and our ways of working to build high impact products. You’ll actively be involved in work planning, retrospectives, and overall team improvement. * Impact the daily life of the staff of the hundreds of advertisers using Smartly  * Work with our stakeholders - be them product, engineering, infrastructure - to ensure we meet customers where they are. As with most ML-related roles, being able to translate business/product needs to viable solutions is a must. * Apply and enhance your soft skills through working closely with your colleagues and our customers. Doing knowledge shares, running productive meetings, and pair programming/debugging are just some ways we grow our soft skills. * Keep up to date with the latest ML innovations, especially in areas such as generative AI, computer vision, natural language processing and explainability. WHAT WE ARE LOOKING FOR: * 5+ years of experience developing and deploying production-quality software * 2+ years of experience delivering software services powered by machine learning * 2+ years of experience working with cloud infrastructure such as AWS or GCP * Fluent in Python; experience with C++ or Java is a plus * Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) * Knowledge of MLOps concepts and tools (e.g., MLflow, Kubeflow) * Experience in feature engineering, model evaluation, diagnostics, and monitoring * Strong foundation in linear algebra, statistics, and calculus * Experience building scalable data pipelines for ML-based data processing * Experience developing and maintaining services under SLA * Analytical mindset with a problem-solving approach * Passion for solving customer challenges quickly while making thoughtful architectural decisions * Adaptability and resilience when facing new or ambiguous challenges * Strong written and verbal communication skills in English * M.Sc. in a relevant field is preferred * Ability and willingness to work in a hybrid capacity from our office 3 days a week WHAT WE OFFER YOU At Smartly, we offer a place where you can advance your career. Here, you'll find: An Inclusive Global Culture: Join a team of over 750 Smartlies, representing more than 60 nationalities across 24 locations in 13 countries. We cultivate a culture built on trust, transparency, and open feedback, where diverse perspectives are valued and encouraged.  Global Impact: Contribute to a company making a global impact, directly influencing our customers' success and business growth. Focus on Wellbeing: We prioritize your health with healthcare packages, mental health services, and a commitment to work-life balance through paid holidays and family leave. Comprehensive Rewards: Benefit from equity options, performance-based rewards, competitive compensation, and career development opportunities. Flexible Hybrid Workplace: Experience a hybrid work model, balancing office collaboration with remote work, and the option to work abroad for up to 30 days annually.   Apply Now and Build Your Future with Smartly! Curious what it’s like to work at Smartly? Visit our Careers page to see how we grow, collaborate, and make impact together ABOUT SMARTLY Smartly is the AI-powered advertising technology company transforming ad experiences for brands and their consumers. Our comprehensive advertising platform seamlessly integrates the capabilities of media, creative, and intelligence to power more than 800 billion impressions and generate more than 300 billion creatives annually, delivering tangible business outcomes for brands and advertisers. Smartly is the only company in the industry recognized as a Leader in The Forrester Wave: Creative Advertising Technologies with PwC validating the results it delivers for brands. We manage creative and media for 700+ brands worldwide and $6B in ad spend across the largest media platforms, including Facebook, Google, Instagram, Pinterest, Snap, and TikTok. Our end-to-end technology, unmatched access to media platforms and exceptional customer service help Fortune 500 brands to reach and engage consumers and learn what performs best.Smartly is a multinational and diverse team of 750+ Smartlies from 60+ nationalities, working in 13 countries. Together, we want to create and maintain an inclusive environment where everyone feels respected and heard. Our Diversity, Equity & Inclusion approach is at the heart of it. Visit Smartly to learn more. The processing of your information is described in our Candidate Privacy Notice.

Databricks

P-984 Founded in late 2020 by a small group of machine learning engineers and researchers, Mosaic AI enables companies to securely fine-tune, train and deploy custom AI models on their own data, for maximum security and control. Compatible with all major cloud providers, the Mosaic AI platform provides maximum flexibility for AI development. Introduced in 2023, Mosaic AI’s pretrained transformer models have established a new standard for open source, commercially usable LLMs and have been downloaded over 3 million times. Mosaic AI is committed to the belief that a company’s AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all. Now part of Databricks since July 2023, we are passionate about enabling our customers to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI platform so our customers can use deep data insights to improve their business. We leap at every opportunity to solve technical challenges, striving to empower our customers with the best data and AI capabilities. Summary:  Databricks Mosaic AI is hiring experienced machine learning platform engineers to build out our customer-facing generative AI platform for the ML development lifecycle including data generation, training, evaluation, serving, and agent-building. You will thrive in this role if you have a strong sense of end-to-end ownership and enjoy translating user requirements into product interfaces and building the backend distributed systems to power those interfaces. In this role, you will have the opportunity to contribute to all areas of our stack spanning from user-facing features to low-level GPU orchestration. You will: * Play a key role in the end-to-end design and implementation of our product which is a platform for powering use cases across training and serving of generative AI models * Work closely with both customers and internal ML researchers to identify key areas of development for our generative AI platform * Have strong end-to-end product ownership, translating product requirements into user interfaces and backend distributed system design and own end-to-end implementation * Design and build the core platform infrastructure that supports our customer-facing product features * Ensure the reliability, security, and scalability of the backend distributed systems that power all aspects of our product We look for: * 4+ years of hands-on programming experience with at least one modern language such as Python, Scala, Go, or C++ * Strong sense of distributed systems design and experience building large-scale systems * Experience building ML platform systems for applications in the ML model development lifecycle such as data preparation, model training, model evaluation, and model serving * Direct experience developing ML models is a plus but not required * Strong sense of end-to-end product ownership as well as intuition for both robust system design and product usability * Effective communication skills and the ability to articulate complex technical ideas to cross-disciplinary internal and external stakeholders. We value candidates who are curious about all parts of the company's success and are willing to learn new technologies along the way.   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Local Pay Range $166,000—$225,000 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.