TensorFlow Jobs in Berlin.
All active TensorFlow roles based in Berlin.
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Who we are
Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.
As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.
We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.
The role
At Helsing, we are pioneering the future of autonomous decision-making for defence. Our work spans the full AI landscape, including high-volume data processing, RL agent training, and large-scale foundation models. As a member of a cross-functional team, you will architect and implement the tools and platforms that enable these breakthroughs. Your focus will be on abstracting complex distributed systems to maximise training throughput and developer velocity. We are looking for engineers who can navigate the convergence of machine learning and systems engineering to build robust, scalable platforms.
What you will do:
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Extend our highly integrated deep learning frameworks (built on top of PyTorch), making them efficient and easy to use for a wide range of use cases.
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Scale our current infrastructure and tooling stack to support faster and larger distributed training.
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Design data strategy to support large scale datasets and efficient storage, ensuring GPUs stay warm.
You should apply if you:
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Hold an MSc or PhD in Computer Science or STEM field, with a focus on Machine Learning and Deep Learning.
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Have strong software engineering skills in Python and fluency with modern DL frameworks (PyTorch/JAX/TensorFlow). You don’t just import libraries; you are comfortable writing custom layers, loss functions, and distributed training loops.
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Are a clear communicator who can build from complex theoretical concepts and contribute to the company's internal engineering culture.
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Have a "first-principles" mindset: you enjoy reading the latest AI optimisation blog posts and integrating them into codebases rapidly.
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You have debugged production ML pipelines and can tell a good war story about finding a subtle numerical or performance issue.
Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.
Nice to have
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You have hands-on experience training models on large-scale GPU clusters, implementing advanced parallelism strategies, and understanding the underlying cross-node communication patterns (NCCL, MPI).
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You have worked with large-scale datasets made of different modalities. Understanding the tradeoffs in locality, encoding, formats, and streaming strategies.
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You are proficient with workload orchestrators like Slurm, Kubernetes, or Ray, having used them to schedule and manage complex, concurrent training jobs at scale.
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You understand GPU architecture at a low level: memory hierarchies, warp execution, and what makes a GPU suited for training versus inference workloads.
Join Helsing and work with world-leading experts in their fields
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Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
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The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
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Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
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In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
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We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.
What we offer
- Competitive salary and VSOP options
- Relocation support: up to €2,500 and 4 weeks temporary accommodation
- Learning: €500/£450 yearly allowance
- Health & wellness: gym membership and mental health support (Nilo.health)
- Social: regular company events and monthly social allowances
- Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers
- Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work
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A hands-on onboarding program (affectionately labelled “AI-duction”), in which you will be familiarising yourself with our tools and ML pipelines used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other AI and engineering teams from day one
These are the core benefits across all locations, there may be additional benefits in certain locations.
Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.
Ready to apply?
Apply to Helsing
Senior Machine Learning Engineer, Recommendations (Product)
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You'll own features end-to-end: from understanding user needs with Product and Design, to architecting data pipelines processing billions of events, to building and shipping production ML systems that balance performance, cost, and user experience. This means working across BigQuery (trillion-row datasets), Airflow orchestration, real-time serving infrastructure (BigTable), APIs, and constant collaboration with Product, Design, Engineering, and Platform teams.
Key Responsibilities:
- Develop, test, and productionize ML and LLM-based systems serving real users
- Design and build end-to-end ML pipelines, including data, features, training, and serving
- Make technical decisions considering cost, latency, complexity, and maintainability
- Navigate distributed systems (BigQuery, BigTable, Airflow, DynamoDB) to build reliable, scalable solutions
- Set up monitoring, A/B testing, and metrics frameworks to measure real user impact
- Debug complex issues across data pipelines, ML models, and distributed systems
- Contribute to technical strategy and team best practices
- Leverage agentic workflows and AI-assisted engineering as a force multiplier to work at 10x the speed of traditional methods
Experience and Background:
- 1-2+ years building ML systems in production - you understand the difference between a model that works in Jupyter and one that serves millions of users
- 4+ years of software engineering experience - you write production code, not just notebooks
- Strong Python and Scala (or Java/JVM) skills, with experience writing scalable, production code
- Experience building and deploying ML models end-to-end (data, training, serving, monitoring)
- Experience building and deploying LLM-based features in production
- Familiarity with integrating LLMs into ML systems (e.g. retrieval-augmented generation, model serving)
- Understanding of shared ML architecture across domains (e.g. search and recommendations)
- Strong focus on data quality and correctness, and how upstream data impacts downstream models and user experience
- Strong SQL skills for massive datasets (BigQuery, Spark)
- Cloud platform experience (AWS/GCP) and containerization (Docker, Kubernetes)
- Experience with distributed data processing and ETL pipelines (Airflow, Spark)
- Familiarity with ML frameworks such as TensorFlow or PyTorch
The salary range for this role is $165,000 - $195,000 annually. The final salary offered will be determined based on relative experience, skills, internal equity, and location. We also offer a generous total rewards program - read more about additional benefits and perks below!
About us:
- We are a multinational company with offices in the US (New York and Los Angeles), Germany (Berlin), and the UK (London)
- We provide a flexible work culture that offers the opportunity to collaborate and connect in person at our offices as well as accommodating work from home
- We are deeply committed to ensuring diversity, equity and inclusion at all levels of our organization and fostering a community where everyone’s voice, perspective and experience is respected and heard
- We believe a strong team is made by investing in employees through mentorship, workshops and enrichment opportunities
Benefits:
- Comprehensive health benefits including medical, dental, and vision plans, as well as mental health resources
- Robust 401k program
- Employee Equity Plan
- Generous professional development allowance
- Interested in a gym membership, photography course or book? We have a Creativity and Wellness benefit!
- Flexible vacation and public holiday policy where you can take up to 35 days of PTO annually
- 16 paid weeks for all parents (birthing and non-birthing), regardless of gender, to welcome newborns, adopted and foster children
- Various snacks, goodies, and 2 free lunches weekly when at the office
Diversity, Equity and Inclusion at SoundCloud
SoundCloud is for everyone. Diversity and open expression are fundamental to our organization; they help us lead what’s next in music by understanding and empowering our creators and fans, no matter their identity. We acknowledge the challenges in the music industry, and strive to influence an inclusive culture where everyone can contribute respectfully and thrive, especially the historically marginalized communities that many of our creators, fans and SoundClouders identify with. We are dedicated to creating an inclusive environment at SoundCloud for everyone, regardless of gender identity, sexual orientation, race, ethnicity, migration background, national origin, age, disability status, or care-giver status.
At SoundCloud you can find your community or elevate your allyship by joining a Diversity Resource Group. Diversity Resource Groups are employee-organized groups focused on supporting and promoting the interests of a particular underrepresented community in order to build a more inclusive culture at SoundCloud. Anyone can join, whether you share the identity or strive to be an ally.
Ready to apply?
Apply to SoundCloud
Senior Machine Learning Engineer, Recommendations (Product)
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We are looking for a Senior Machine Learning Engineer to join our Recommendations Experience team, focusing on building ML-powered features that directly improve personalization, engagement, and satisfaction for our users. While this is an MLE role, you’ll bring strong engineering fundamentals and work across the full stack and end-to-end systems, from data pipelines to APIs to real-time serving, and everything in between. The Recommendations team ships ML-powered features that connect 200M+ users with music they'll love.
You'll own features end-to-end: from understanding user needs with Product and Design, to architecting data pipelines processing billions of events, to building and shipping production ML systems that balance performance, cost, and user experience. This means working across BigQuery (trillion-row datasets), Airflow orchestration, real-time serving infrastructure (BigTable), APIs, and constant collaboration with Product, Design, Engineering, and Platform teams.
Key Responsibilities:
- Develop, test, and productionize ML and LLM-based systems serving real users
- Design and build end-to-end ML pipelines, including data, features, training, and serving
- Make technical decisions considering cost, latency, complexity, and maintainability
- Navigate distributed systems (BigQuery, BigTable, Airflow, DynamoDB) to build reliable, scalable solutions
- Set up monitoring, A/B testing, and metrics frameworks to measure real user impact
- Debug complex issues across data pipelines, ML models, and distributed systems
- Contribute to technical strategy and team best practices
- Leverage agentic workflows and AI-assisted engineering as a force multiplier to work at 10x the speed of traditional methods
Experience and Background:
- 1-2+ years building ML systems in production - you understand the difference between a model that works in Jupyter and one that serves millions of users
- 4+ years of software engineering experience - you write production code, not just notebooks
- Strong Python and Scala (or Java/JVM) skills, with experience writing scalable, production code
- Experience building and deploying ML models end-to-end (data, training, serving, monitoring)
- Experience building and deploying LLM-based features in production
- Familiarity with integrating LLMs into ML systems (e.g. retrieval-augmented generation, model serving)
- Understanding of shared ML architecture across domains (e.g. search and recommendations)
- Strong focus on data quality and correctness, and how upstream data impacts downstream models and user experience
- Strong SQL skills for massive datasets (BigQuery, Spark)
- Cloud platform experience (AWS/GCP) and containerization (Docker, Kubernetes)
- Experience with distributed data processing and ETL pipelines (Airflow, Spark)
- Familiarity with ML frameworks such as TensorFlow or PyTorch
About us:
- We are a multinational company with offices in the US (New York and Los Angeles), Germany (Berlin), and the UK (London)
- We provide a flexible work culture that offers the opportunity to collaborate and connect in person at our offices as well as accommodating work from home
- We are deeply committed to ensuring diversity, equity and inclusion at all levels of our organization and fostering a community where everyone’s voice, perspective and experience is respected and heard.
- We believe a strong team is made by investing in employees through mentorship, workshops and enrichment opportunities
Benefits:
- Not located in Berlin? No worries, we offer extensive relocation support including allowances, one way flights, temporary accommodation and, by partnering with Expath, on the ground support on arrival
- Interested in a gym membership, photography course or book? We have a Creativity and Wellness benefit!
- Employee Equity Plan
- Generous professional development allowance
- Flexible vacation and public holiday policy where you can take up to 35 days of PTO annually
- We offer free German courses at beginning, intermediate and advanced
- Various snacks, goodies, and 2 free lunches weekly when at the office
Diversity, Equity and Inclusion at SoundCloud
SoundCloud is for everyone. Diversity and open expression are fundamental to our organization; they help us lead what’s next in music by understanding and empowering our creators and fans, no matter their identity. We acknowledge the challenges in the music industry, and strive to influence an inclusive culture where everyone can contribute respectfully and thrive, especially the historically marginalized communities that many of our creators, fans and SoundClouders identify with. We are dedicated to creating an inclusive environment at SoundCloud for everyone, regardless of gender identity, sexual orientation, race, ethnicity, migration background, national origin, age, disability status, or care-giver status.
At SoundCloud you can find your community or elevate your allyship by joining a Diversity Resource Group. Diversity Resource Groups are employee-organized groups focused on supporting and promoting the interests of a particular underrepresented community in order to build a more inclusive culture at SoundCloud. Anyone can join, whether you share the identity or strive to be an ally.
Ready to apply?
Apply to SoundCloud
Senior Engineering Manager, ML Foundations team
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We are seeking a Sr. Engineering Manager to join our 200+ product development organization and lead our ML Foundations team. This team focuses on solving complex machine learning problems and developing proprietary models for a range of AdTech use cases across our product suite.
As part of the AI Platform organization, you will lead a multidisciplinary team of Data Scientists, ML Engineers, and Software Engineers working to accelerate AI adoption and development across Smartly’s Media, Creative, and Intelligence suite. The team ensures compliance with privacy, security, and ethical guidelines.
This is an opportunity to define the vision and strategy for ML and Data Science applications, drive execution on ambitious goals, and champion AI and ML excellence throughout Smartly.
Smartly is proud to be ranked as a leader in The Forrester Wave™ for Creative AdTech. This recognition reflects our commitment to transforming ad experiences through intelligent creativity, standing as the only platform honored by both Forrester and validated by PwC to be recognized for ad technology to power performance.
To get an idea of some of the work we do, see for example these blog posts:
How We Productized Bayesian Revenue Estimation with Stan
Optimizing Conversions with Predictive Budget Allocation
Here’s What You'll Do:
- Lead and grow the AI Foundations team, providing technical direction, strategic vision, and hands-on leadership.
- Drive the development of AdTech-specific ML models and foundational AI capabilities and explore novel approaches that can be applied across Smartly’s products. Optimize existing models for performance, efficiency, and scalability.
- Collaborate cross-functionally with other teams to ensure AI-driven features deliver measurable business and customer impact.
- Ensure compliance with privacy, security, and ethical AI standards in ML applications.
- Foster a strong engineering culture focused on innovation, quality, and continuous improvement.
- Mentor team members through coaching, 1:1s, and career development plans.
- Remove obstacles to enable your team to thrive and deliver exceptional results.
- Partner with recruiting to help scale the team by actively sourcing and closing the best talent.
- Partner with other leaders in the AI Platform to shape Smartly’s long-term AI strategy and architecture.
Here's What We're Looking For…
- 7+ years of experience in building services and products.
- 5+ years of experience in applying machine learning to real-life problems.
- 3+ years of experience in leading teams.
- Competent with key technologies in ML; PyTorch, TensorFlow, Python, SQL.
- Able to mentor, coach, and develop data scientists and machine learning engineers
- Proven experience in delivering scalable ML systems in production. You will need to be hands-on when coaching the team members to new technical and professional heights, which can involve code reviews, pair programming, etc.
- A pragmatic mindset. We always aim to create value to our customers. We're also working on production systems and our customers' business depends on it.
- Curiosity and the drive to continuously learn through study and experimentation on the job.
- Ability to drive both technical excellence and cross-functional collaboration.
- Understanding of security and compliance requirements when working with personal data.
- M.Sc. or Ph.D. in a relevant field (Mathematics, CS, AI, Physics, …).
- Excellent communication skills, written and spoken English and ability to work 3 days/week onsite at our Berlin office
What we offer you…
- Ownership Culture: Make a significant impact on our products with autonomy and ownership.
- Industry Collaboration: Collaborate with leading online marketers and platforms like Meta, Pinterest, Snap, TikTok, and Google.
- Professional Development: Access opportunities for growth through mentorship, training, and resources to enhance your skills.
- Wellbeing Focus: Prioritize your health with comprehensive healthcare packages and mental health services, plus a healthy work-life balance.
- Total Rewards: Everyone at Smartly is an owner with our equity options program and performance-based grants. We recognize success with compensation, benefits, and career development opportunities.
- We work in a flexible hybrid work model, including 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!
What to Expect from Our Recruitment Experience:
- Meet your Recruiter: Get to know each other and learn about working at Smartly.
- Meet the Team Manager: Gain deeper insights into your future team.
- Meet the Team in Subject Matter Interviews: Engage in a case study and showcase your domain knowledge.
- Meet the Leadership in a Final Meeting: A brief discussion with our Chief Technical Officer.
Apply now and shape the future of digital advertising!
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.
Ready to apply?
Apply to SmartlySenior Engineering Manager, ML Foundations team
Share this job
We are seeking a Sr. Engineering Manager to join our 200+ product development organization and lead our ML Foundations team. This team focuses on solving complex machine learning problems and developing proprietary models for a range of AdTech use cases across our product suite.
As part of the AI Platform organization, you will lead a multidisciplinary team of Data Scientists, ML Engineers, and Software Engineers working to accelerate AI adoption and development across Smartly’s Media, Creative, and Intelligence suite. The team ensures compliance with privacy, security, and ethical guidelines.
This is an opportunity to define the vision and strategy for ML and Data Science applications, drive execution on ambitious goals, and champion AI and ML excellence throughout Smartly.
Smartly is proud to be ranked as a leader in The Forrester Wave™ for Creative AdTech. This recognition reflects our commitment to transforming ad experiences through intelligent creativity, standing as the only platform honored by both Forrester and validated by PwC to be recognized for ad technology to power performance.
To get an idea of some of the work we do, see for example these blog posts:
How We Productized Bayesian Revenue Estimation with Stan
Optimizing Conversions with Predictive Budget Allocation
Here’s What You'll Do:
- Lead and grow the AI Foundations team, providing technical direction, strategic vision, and hands-on leadership.
- Drive the development of AdTech-specific ML models and foundational AI capabilities and explore novel approaches that can be applied across Smartly’s products. Optimize existing models for performance, efficiency, and scalability.
- Collaborate cross-functionally with other teams to ensure AI-driven features deliver measurable business and customer impact.
- Ensure compliance with privacy, security, and ethical AI standards in ML applications.
- Foster a strong engineering culture focused on innovation, quality, and continuous improvement.
- Mentor team members through coaching, 1:1s, and career development plans.
- Remove obstacles to enable your team to thrive and deliver exceptional results.
- Partner with recruiting to help scale the team by actively sourcing and closing the best talent.
- Partner with other leaders in the AI Platform to shape Smartly’s long-term AI strategy and architecture.
Here's What We're Looking For…
- 7+ years of experience in building services and products.
- 5+ years of experience in applying machine learning to real-life problems.
- 3+ years of experience in leading teams.
- Competent with key technologies in ML; PyTorch, TensorFlow, Python, SQL.
- Able to mentor, coach, and develop data scientists and machine learning engineers
- Proven experience in delivering scalable ML systems in production. You will need to be hands-on when coaching the team members to new technical and professional heights, which can involve code reviews, pair programming, etc.
- A pragmatic mindset. We always aim to create value to our customers. We're also working on production systems and our customers' business depends on it.
- Curiosity and the drive to continuously learn through study and experimentation on the job.
- Ability to drive both technical excellence and cross-functional collaboration.
- Understanding of security and compliance requirements when working with personal data.
- M.Sc. or Ph.D. in a relevant field (Mathematics, CS, AI, Physics, …).
- Excellent communication skills, written and spoken English and ability to work 3 days/week onsite at our Helsinki office
What we offer you…
- Ownership Culture: Make a significant impact on our products with autonomy and ownership.
- Industry Collaboration: Collaborate with leading online marketers and platforms like Meta, Pinterest, Snap, TikTok, and Google.
- Professional Development: Access opportunities for growth through mentorship, training, and resources to enhance your skills.
- Wellbeing Focus: Prioritize your health with comprehensive healthcare packages and mental health services, plus a healthy work-life balance.
- Total Rewards: Everyone at Smartly is an owner with our equity options program and performance-based grants. We recognize success with compensation, benefits, and career development opportunities.
- We work in a flexible hybrid work model, including 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!
What to Expect from Our Recruitment Experience:
- Meet your Recruiter: Get to know each other and learn about working at Smartly.
- Meet the Team Manager: Gain deeper insights into your future team.
- Meet the Team in Subject Matter Interviews: Engage in a case study and showcase your domain knowledge.
- Meet the Leadership in a Final Meeting: A brief discussion with our Chief Technical Officer.
Apply now and shape the future of digital advertising!
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.
Ready to apply?
Apply to SmartlyWe 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:
- 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: We work in a hybrid 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-JF2 #LI-Hybrid
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.
Ready to apply?
Apply to SmartlyWe 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.
Ready to apply?
Apply to SmartlyWe 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.
Ready to apply?
Apply to SmartlyWe are looking for a Staff 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 Staff Machine Learning Engineer, you’ll:
- Build ML-based software systems that enable our users to craft great advertising experiences and campaigns
- Drive the longer term technical architecture evolution of your domain.
- Be a role model for technical excellence in your field inside Smartly
- Coach, mentor and train our ML Engineering talent.
- 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.
- 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:
- 8+ years of experience developing and deploying production-quality software
- 5+ years of experience delivering software services powered by machine learning
- 4+ years of experience working with cloud infrastructure such as AWS or GCP
- Fluent in Python; experience with C++ or Java is a plus
- Demonstrated experience managing the technical direction of a software system
- Experience in coaching and mentoring senior engineers
- 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:
- 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: We work in a hybrid 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-JF2 #LI-Hybrid
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.
Ready to apply?
Apply to SmartlyWe are looking for a Staff Machine Learning Engineer to join the AI PlatformTeam 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 Staff Machine Learning Engineer, you’ll:
- Build ML-based software systems that enable our users to craft great advertising experiences and campaigns
- Drive the longer term technical architecture evolution of your domain.
- Be a role model for technical excellence in your field inside Smartly
- Coach, mentor and train our ML Engineering talent.
- 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.
- 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:
- 8+ years of experience developing and deploying production-quality software
- 5+ years of experience delivering software services powered by machine learning
- 4+ years of experience working with cloud infrastructure such as AWS or GCP
- Fluent in Python; experience with C++ or Java is a plus
- Demonstrated experience managing the technical direction of a software system
- Experience in coaching and mentoring senior engineers
- 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:
- 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: We work in a hybrid 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-JF2 #LI-Hybrid
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.
Ready to apply?
Apply to SmartlyWe are looking for a Senior Data Scientist 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 Data Science and the marketing space, this team is for you!
As a Senior Data Scientist, you’ll:
- Implement, build, and deploy scalable models and machine learning solutions that enable our users to craft great advertising experiences and campaigns with a focus on maintainability, observability, scalability and stability.
- Own projects end-to-end: from problem framing and data exploration to modeling, validation, and monitoring in production.
- Work with a large span of datasets from image to video to audio to text to structured performance data.
- Analyze large-scale datasets to uncover insights, trends, and opportunities that inform product strategy and customer outcomes.
- You’ll work alongside our stellar data scientists, senior machine learning engineers, 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. 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 AI innovations, especially in areas such as generative AI, computer vision, natural language processing and explainability.
What we are looking for:
- 5+ years of experience in data science or applied machine learning
- 2+ years of experience working with cloud infrastructure such as AWS or GCP
- Strong foundation in linear algebra, statistics, and calculus
- 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 design, evaluation, diagnostics, and monitoring
- Analytical mindset with a problem-solving approach
- Passion for solving customer challenges quickly while making thoughtful architectural decisions
- Ability to communicate complex technical findings to both technical and non-technical stakeholders.
- 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:
- 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: We work in a hybrid 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-OK #LI-Hybrid
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.
Ready to apply?
Apply to SmartlyWe 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:
- 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: We work in a hybrid 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-JF2 #LI-Hybrid
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.
Ready to apply?
Apply to SmartlySenior MLOps Engineer
Share this job
ABOUT TALON.ONE:
Talon.One is the most powerful incentives engine that unifies loyalty, promotions and gamification into one holistic platform. Backed by enterprise-grade security and scalability, Talon.One empowers companies to build personalized, profitable promotions and loyalty programs using any data.
Today, over 250 of the world’s most-loved brands including Adidas, Sephora and Carlsberg work with Talon.One to drive deeper engagement and lasting loyalty with their customers.
ABOUT THE TEAM:
We're a passionate cross-functional team of engineers, data scientists, product manager, and an engineering manager, dedicated to all things data. You'll be at the centre of our expanding Intelligence Tribe. We're enthusiastic about exploring new tools and technologies, and we thrive on brainstorming to solve challenges and apply best practices.
ABOUT THE ROLE:
We are seeking a Senior MLOps Engineer to join our growing Intelligence Platform team. In this role, you will be responsible for designing, developing, and maintaining robust MLOps infrastructure and workflows that support the deployment, monitoring, and scalability of our machine learning models. You’ll work closely with data scientists, engineers, and Infrastructure team to streamline the machine learning lifecycle and bring cutting-edge solutions into production.
ONCE YOU ARE HERE, YOU WILL:
- Build and maintain MLOps pipelines to automate data preparation, model training, evaluation, deployment, and monitoring of ML models and data pipelines.
- Design scalable infrastructure using our cloud platform and tools like Kubernetes, Docker, and Terraform.
- Implement CI/CD for ML models, ensuring reproducibility, reliability, and version control.
- Monitor model performance and data drift in production, and implement automated retraining workflows as needed.
- Collaborate with data scientists and engineers to operationalize machine learning models in a secure, efficient, and scalable manner.
- Maintain model registries, metadata tracking, and experiment management tools.
- Advocate for and help implement best practices in MLOps across the organization.
- Ensure compliance with security, governance, and ethical AI guidelines.
WHAT WE EXPECT YOU TO BRING TO THE TABLE:
- 6+ years of experience in software engineering or DevOps, with at least 3+ years in MLOps or ML infrastructure roles.
- Experience deploying and managing machine learning systems at scale, preferably in high-availability, real-time environments with low latency and high throughput.
- Experience with building or maintaining scalable ML infrastructure (e.g., CI/CD for models, auto-scaling, load balancing, blue-green deployment, canary releases, shadow testing, etc.).
- Strong programming skills in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).
- Proficiency with Google Cloud Platform and infrastructure-as-code tools like Terraform.
- Hands-on experience with tools like Vertex AI, MLflow, Kubeflow, Airflow, or SageMaker.
- Experience with containerization and orchestration technologies (Docker, Kubernetes).
- Experience implementing monitoring and alerting systems for ML pipelines and APIs.
WHAT'S IN IT FOR YOU:
- A Research and Development Department of 90+ of engineers, product managers and product designers in Berlin
- Leaders with 8+ years of experience building our promotions engine
- €1,000 annual learning budget, full LinkedIn Learning access, and free German language courses to boost your skills
- 30 days of annual leave, plus extra paid days for your birthday and moving day
- Home office setup budget, a monthly home office allowance
- Freedom to work from abroad for up to 90 days worldwide!
- Mental health support with nilo.health and a discounted Urban Sports Club membership
- 20% company subsidy on your pension contributions
- Discounted BVG public transport ticket and bring along your furry friend to our dog-friendly Berlin office!
- Lease your ideal bike through BusinessBike
Ready to apply?
Apply to Talon.One LinkedIn JobsABOUT THE TEAM:
We're a passionate cross-functional team of engineers, data scientists, product manager, and an engineering manager, dedicated to all things data. You'll be at the centre of our expanding Intelligence Tribe. We're enthusiastic about exploring new tools and technologies, and we thrive on brainstorming to solve challenges and apply best practices.
ABOUT THE ROLE:
We are seeking a Senior MLOps Engineer to join our growing Intelligence Platform team. In this role, you will be responsible for designing, developing, and maintaining robust MLOps infrastructure and workflows that support the deployment, monitoring, and scalability of our machine learning models. You’ll work closely with data scientists, engineers, and Infrastructure team to streamline the machine learning lifecycle and bring cutting-edge solutions into production.
ONCE YOU ARE HERE, YOU WILL:
- Build and maintain MLOps pipelines to automate data preparation, model training, evaluation, deployment, and monitoring of ML models and data pipelines.
- Design scalable infrastructure using our cloud platform and tools like Kubernetes, Docker, and Terraform.
- Implement CI/CD for ML models, ensuring reproducibility, reliability, and version control.
- Monitor model performance and data drift in production, and implement automated retraining workflows as needed.
- Collaborate with data scientists and engineers to operationalize machine learning models in a secure, efficient, and scalable manner.
- Maintain model registries, metadata tracking, and experiment management tools.
- Advocate for and help implement best practices in MLOps across the organization.
- Ensure compliance with security, governance, and ethical AI guidelines.
WHAT WE EXPECT YOU TO BRING TO THE TABLE:
- 6+ years of experience in software engineering or DevOps, with at least 3+ years in MLOps or ML infrastructure roles.
- Experience deploying and managing machine learning systems at scale, preferably in high-availability, real-time environments with low latency and high throughput.
- Experience with building or maintaining scalable ML infrastructure (e.g., CI/CD for models, auto-scaling, load balancing, blue-green deployment, canary releases, shadow testing, etc.).
- Strong programming skills in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).
- Proficiency with Google Cloud Platform and infrastructure-as-code tools like Terraform.
- Hands-on experience with tools like Vertex AI, MLflow, Kubeflow, Airflow, or SageMaker.
- Experience with containerization and orchestration technologies (Docker, Kubernetes).
- Experience implementing monitoring and alerting systems for ML pipelines and APIs.
WHAT'S IN IT FOR YOU:
- A Research and Development Department of 90+ of engineers, product managers and product designers in Berlin
- Leaders with 8+ years of experience building our promotions engine
- €1,000 annual learning budget, full LinkedIn Learning access, and free German language courses to boost your skills
- 30 days of annual leave, plus extra paid days for your birthday and moving day
- Home office setup budget, a monthly home office allowance
- Freedom to work from abroad for up to 90 days worldwide!
- Mental health support with nilo.health and a discounted Urban Sports Club membership
- 20% company subsidy on your pension contributions
- Discounted BVG public transport ticket and bring along your furry friend to our dog-friendly Berlin office!
- Lease your ideal bike through BusinessBike
WHY YOU SHOULD WORK FOR US:
- The right attitude: modern methods and a diverse, creative workspace with an open and international culture
- Everyone for the product: Together we create a flexible, highly scalable product with state-of-the-art technologies. We can only succeed if everyone works as a team
- Healthy Growth: Growing our company means growing everyone in the team. We love to share knowledge and learn
- A great environment: Flexible and family-friendly environment, bright and easily accessible offices, modern software and hardware
- High flexibility degree: Prefer to work early or late at night? Do you have to pick up your children from kindergarten? Do you prefer working abroad? We believe in results and motivated employees
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Talon.One is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. We do not make employment decisions on the basis of race, color, religious belief, ethnic origin, nationality, sex, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by company policy. As an employer we strive for a healthy and safe workplace and strictly prohibit harassment of any kind.
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