About Luminai
At Luminai, we develop technology to reliably migrate and manage enterprise business processes with scalable automation infrastructure, using safe and effective AI. We're working hard to help people spend less time on repetitive monotonous tasks that a computer could do, and instead let them focus on things that matter. Luminai is revolutionizing the way in which operational teams get work done, by developing and deploying more efficient ways to complete activities. You'll be working on cutting edge software with a team of people who are supportive and collaborative, and care a lot about details.
About the role
We're looking for a passionate and skilled Principal ML Engineer who wants to swing for the fences to accomplish our mission, is excited by a startup environment where the hardest problems are yet to be solved, and is eager to learn and collaborate together. This is a founding member of our ML engineering team at Luminai, with a massive runway to make an impact. This is a senior individual contributor role; we don't adhere to formal titles at our size, but folks from senior, principal, and staff level backgrounds will be considered and compensated according to skills and experience.
This is ideally a hybrid role based in the Bay Area, California (our office is in San Mateo). For the right candidate, we would consider a remote working arrangement as long as they are comfortable working PST hours.
Work you might work on:
- Machine Learning Model Development: Design, develop, and implement machine learning models and algorithms to solve complex problems in automation and Chrome development, such as natural language processing, computer vision, recommendation systems, or predictive analytics.
- Data Preparation: Collect, preprocess, and analyze data from various sources to create clean and relevant datasets for model training and evaluation.
- Model Training and Evaluation: Train, fine-tune, and optimize machine learning models using state-of-the-art tools and frameworks. Perform rigorous evaluation and testing to ensure model accuracy, generalization, and performance.
- Feature Engineering: Identify and engineer relevant features from data, improving model effectiveness and interpretability.
- Deployment and Integration: Collaborate with software engineers to deploy machine learning models into production systems, ensuring scalability and efficiency.
- Continuous Learning: Stay up-to-date with the latest developments in the field of machine learning and artificial intelligence. Apply cutting-edge research and technologies to solve business challenges.
- Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, and domain experts, to understand project requirements, define objectives, and deliver impactful solutions.
- Documentation: Maintain detailed documentation of machine learning models, data, and processes to facilitate knowledge sharing and reproducibility.
Things we look for in candidates:
- Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field
- A minimum of 4 years of experience as a software engineer, and 1 or more years of ML experience
- Proven experience at a high-growth technology company
- Familiarity with version control systems and continuous integration/continuous deployment (CI/CD) pipelines
- Excellent analytical skills with a keen eye for detail
- A willingness to wear many hats / a flexible attitude towards responsibilities and scope
- Strong problem-solving abilities and a proactive attitude toward issue resolution
- Outstanding communication and interpersonal skills, with the ability to work effectively in a team-oriented environment
- Collaborative team member: You can easily and readily communicate cross-functionally, with non-technical teams
- Leadership: You want to help shape the culture of the company and help us to build and scale a best-in-class team
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Benefits & Perks:
- Comprehensive health care benefits (medical, dental, vision)
- Flexible paid time off + 9 paid company holidays
- Financial planning support (401K, HSA, DSA)
- 12 weeks primary-caregiver parental leave; 6 weeks secondary-caregiver parental leave
- Stipends for mental and physical wellness
- Work laptop