Description
We are revolutionizing the way people design across all modalities with the first personalized creative AI agent. We have raised a $6.5M pre-seed round from top global VCs and are founded by ex-Meta GenAI product and engineering.
As a Senior Software Engineer, ML Generalist at Lumina, you will work with AI Researchers, Systems Engineers and Product to train, adapt and scale end-to-end AI models, including multimodal LLM-based agents and image, video and 3D GenAI workflows. You will embrace open ended ML problems and have the opportunity to take ownership over a large scope of the design and development of our future product and pioneer new advancements in the way humans interact with creative GenAI features at a global scale. You are the right fit if you’re passionate about creating user and business value and solving problems end-to-end with a strong product sense and design awareness. As a Senior SWE, you will partner with top global talent to build scalable, modular, and reliable AI models and workflows with user experience top of mind.
Minimum Qualifications- 6+ years of experience in software engineering or a relevant field. 3+ years of experience if you have a PhD
- 3+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field
- Knowledge developing and debugging in C/C++ and Java, and/or experience with scripting languages such as Python, Perl, Go, and/or shell scripts
- Experience with developing machine learning models at scale from inception to business impact
- Experience as an owner of a particular component, feature or system
- Experience completing projects with a large and ambiguous scope
- Experience building and shipping high quality work and achieving high reliability
- Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
- Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
- Experience in deeply understanding user requirements and iterating on AI features to drive adoption and platform growth
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Responsibilities- Leading projects of small teams of people to help them unblock, advocating for ML excellence
- Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
- Develop highly scalable classifiers and tools leveraging machine learning, data regression and rules based models
- Suggest, collect and synthesize requirements and create feature roadmaps
- Code deliverables in tandem with engineering team
Preferred Qualifications- Masters degree or PhD in Computer Science or another ML-related field
- Exposure to architectural patterns of large scale software applications
- Experience with scripting languages such as Pytorch and TF
Disclosures- Industry competitive base salary
- Bonus
- Equity package
- Benefits
- Year health spend