Machine Learning Engineer supporting the Enterprise Machine Learning team in developing advanced solutions. Collaborating with stakeholders and driving data science initiatives in a hybrid work environment.
About the role
- Product-minded Machine Learning Engineer at Arcade crafting generative models and solutions. Collaborating across design, engineering, and product to create innovative content features.
Responsibilities
- Own the ML stack end-to-end: Evaluate hosted models, fine-tune open-source ones, and build scalable pipelines for image, video, and text generation.
- Develop brand-aligned generation systems: Create techniques for tone, color, and style fidelity across mediums.
- Improve generation quality: Build internal evaluation frameworks to measure realism, brand match, and creative diversity.
- Prototype and ship: Rapidly turn research ideas into productized APIs that power Arcade’s content generation features.
- Collaborate cross-functionally: Work with design and marketing to define what “on-brand” means, and with engineers to integrate ML systems into production.
- Lay the foundation for content optimization: Build data pipelines connecting engagement metrics to model tuning.
Requirements
- Strong Python + ML engineering background (PyTorch, diffusers, transformers, or similar).
- Minimum 5 years experience with hands-on experience fine-tuning or training open-source models.
- Deep familiarity with modern inference and training tooling (LoRA, PEFT, DeepSpeed, Ray, Hugging Face, etc.).
- Portfolio or prior work demonstrating creative use of generative models (visuals, videos, text, etc.).
- Comfort operating across research, engineering, and product — shipping real features, not just experiments.
- *(Nice to have)* Familiarity with TypeScript/Next.js and integrating ML APIs into frontend products.
Benefits
- Unlimited PTO
- Rich health/401(k) plans
- Meeting-light culture
- Remote stipend
- Biannual retreats
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Contract AI/ML Engineer focused on delivering machine learning projects for clients at AND Digital. Aiming to enhance AI - powered solutions and contribute to digital skills development.
Senior Machine Learning Engineer at TomTom building data pipelines for autonomous vehicle mapping solutions. Collaborating in a diverse team to innovate and implement machine learning technologies.
Machine Learning Manager improving automated decision - making and managing a team. Driving innovations in credit risk modeling for Monzo’s borrowing products.
Machine Learning Engineer responsible for ML model design and deployment at SiGMA Group. Enhancing event experiences through AI - driven solutions in iGaming and tech.
Machine Learning Intern at Nomagic tackling physical manipulation challenges in AI robotics with top professionals. Engage in innovative projects while shaping robotic technology.
Machine Learning Engineer developing and deploying AI systems for Personio's HR platform. Collaborating with teams to integrate ML features and products ensuring data privacy and security.
Principal Machine Learning Engineer leading AI and Machine Learning systems at Bumble for recommendations and personalization. Driving improvements in user engagement and safety across Bumble products.
Software Engineer delivering MLOps solutions for Generative AI at DataGalaxy. Focusing on reliability and collaboration with product engineering teams in a hybrid environment.
Principal Machine Learning Engineer at Qodea responsible for leading ML model lifecycle and collaborating on AI solutions in Buenos Aires delivery center.