The Senior Machine Learning Engineer will develop and optimize ML models for recommendation systems, analyze data for insights, and collaborate with various teams to drive AI innovations.
About Flip.shop:
Welcome to Flip.shop, where innovation meets social commerce revolution! Fresh off our Series C funding round, we've raised $144 million, propelling our valuation to an impressive $1.05 billion. We’re redefining the shopping experience by giving consumers a voice in a space dominated by tech giants. Join us on this exhilarating journey where your ideas will shape the future of social commerce!
Why Join Us?
At Flip.shop, you’ll be at the forefront of innovation in social commerce. This isn’t just a job—it's a chance to make history and redefine the online shopping experience. If you thrive in a fast-paced, collaborative environment where your ideas can change the game, we want to hear from you!
Role Overview:
We are seeking a Senior Machine Learning Engineer to design and optimize machine learning models that power our personalized recommendation systems, driving consumer engagement and monetization. You’ll tackle complex technical challenges at scale, shaping the AI behind Flip.shop's growth. This is a transformative role, with an opportunity to lead innovative AI applications in social commerce.
Responsibilities:
- Algorithm Development: Design, develop, and optimize machine learning algorithms for our feed and shopping recommendation systems.
- Data Analysis: Analyze large datasets to extract meaningful insights and improve model performance.
- Model Deployment: Deploy and monitor machine learning models in a production environment, ensuring their scalability and reliability.
- Collaboration: Work closely with cross-functional teams, including product, engineering, and marketing, to integrate AI solutions seamlessly into our platform.
- Innovation: Stay up-to-date with the latest advancements in AI and machine learning, applying new techniques to enhance our recommendation systems.
- Problem Solving: Address complex challenges related to recommendation algorithms, user engagement, and monetization strategies.
Requirements:
- Experience: 5+ years of experience working on AI applications, ideally working on social networking or e-commerce platforms.
- Technical Skills: Strong proficiency in machine learning algorithms, data analysis, and programming languages such as Python, TensorFlow, and PyTorch.
- Domain Expertise: Experience developing recommendation systems for feeds and/or ads ranking, with a focus on user engagement and monetization.
- Analytical Mindset: Ability to analyze and interpret complex data, and use insights to drive AI innovation.
- Team Player: Excellent collaboration skills, with the ability to work effectively in a fast-paced, team-oriented environment.
- Communication: Strong verbal and written communication skills, with the ability to convey complex AI concepts to non-technical stakeholders.
- Passion: A genuine passion for leveraging AI to enhance user experiences and drive business growth in a dynamic startup environment.
Why You’ll Love Working Here:
At Flip.shop, you’ll have the opportunity to build the backbone of our AI-driven platform, working on cutting-edge infrastructure that powers personalized shopping experiences for millions of users. Your work will directly contribute to scaling our machine learning systems, ensuring they run efficiently in a high-performance production environment. This is your chance to have a lasting impact and help Flip.shop shape the future of social commerce.
Ready to Build the Future?
If you're passionate about building scalable infrastructure and driving innovation in machine learning at scale, join us at Flip.shop! Let’s redefine the future of online shopping together.
Compensation & Benefits:
Base salary and total compensation will vary based on factors including but not limited to location, experience, and performance. Please note the base salary is just one component of the company’s total rewards package for exempt employees. Other rewards may include equity, bonuses, long term incentives, a PTO policy, and other progressive benefits.
Top Skills
Python
PyTorch
TensorFlow
Similar Jobs
Cloud • Mobile • Software
As a Senior Machine Learning Engineer at BuildOps, you will implement and enhance AI/ML features, develop machine learning models, and collaborate with various teams to deliver practical software solutions.
Top Skills:
ApolloAws SagemakerGraphQLJavaScriptMlflowNode.jsNumpyPythonPyTorchRestScikit-LearnTensorFlowTypescriptWandb.Ai
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The Senior Staff Machine Learning Engineer will design and implement infrastructure for AI workloads, improve SRE practices, and mentor colleagues. They will work closely with AI engineers on efficient GPU cluster operation and ensure high-quality code delivery.
Top Skills:
AIAnsibleGitlab CiGoHelmJ2EeJavaKubernetesLinuxNvidia GpusPrometheusPythonSplunk
Big Data • Information Technology • Machine Learning • Sales • Software • Database • Generative AI
As a Senior Machine Learning Engineer at ZoomInfo, you'll architect MLOps/LLMOps systems, optimize LLMs, and lead CI/CD best practices while mentoring others and shaping AI strategy.
Top Skills:
AirflowArgoArgocdDeepspeedDockerFeature StoresFsdpHugging FaceJanusgraphKubeflowKubernetesMlflowModel StoresNeo4JNeptuneRaySagemakerSpanner GraphSparkTensorrt-LlmTerraformVertex Ai
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
