Senior Machine Learning Developer
3 days ago
About X: The Moonshot Factory
X is Alphabet's ambitious innovation engine with a mission to transform the world through groundbreaking technologies. We are a dynamic group of inventors and entrepreneurs who design and launch scalable solutions that aim to improve the lives of millions, even billions, of people.
Our goal: 10x impact on humanity's most complex problems, not just incremental improvements. We approach projects with the speed and ambition of a startup, yet we focus on turning breakthrough-technology ideas into the foundations for large, sustainable businesses.
About the team:
We're a passionate and driven team of experienced ML researchers, software engineers, and product managers working together to make the practice of law radically more efficient and accurate. Our project focuses on refining our tech prototypes, running experiments with partners, developing a product prototype, and creating business plans.
About the role:
As an applied ML and data pipelines software engineer, you will develop end-to-end solutions for breakthrough technologies reliant on large language models. You will work on prompt optimization, pipeline implementation, scalability, production monitoring, and performance. You will have the opportunity to fine-tune state-of-the-art models with domain-specific knowledge to enhance reasoning capabilities.
You will work closely with domain experts to refine and iterate on the technology. Your expertise will be crucial in coming up with novel and impactful ideas.
- Explore, apply, and innovate state-of-the-art LLM & machine learning techniques to solve real-world problems
- Lead the design and implementation of ML data platforms and service frameworks, including labeling workflows and sampling strategies
- Design and implement robust, automated, production-level software using horizontally scalable components
- Work effectively with cross-functional teams of engineers, product managers, and domain experts
- Provide direction and focus in areas of high ambiguity
- Bachelor's or Master's degree in Computer Science, or equivalent practical experience
- 7+ years of hands-on experience developing and training ML models for product use-cases
- Proficiency in MLOps tasks such as deploying and versioning ML models in production environments and monitoring their performance
- Experience doing win/loss analysis on model results and systematically finding efficient ways to boost wins and reduce losses
- Experience building data pipelines (e.g., Beam, Dataflow, Flume, Flink, Hadoop, Spark)
- Experience testing, maintaining, or launching software products, including experience with software design and architecture
- Strong proficiency in coding with Python, Golang, or other equivalent languages
- Excellent written and verbal communication skills
- Experience applying LLMs for large-scale document processing, including tasks such as annotation, entity extraction, etc.
- Experience in ML modeling using TensorFlow, PyTorch, or Jax/Flax
- Experience in Google Cloud Platform and its Vertex AI solution and capabilities
- Consistent track record of delivering high-quality solutions to large, complex software problems
- Prior experience setting technical direction for small groups of engineers
- Experience working in start-up-like environments
The estimated salary range for this position is $160,000 - $210,000 per year, plus bonuses and benefits. At X, we prioritize equal employment opportunities for all candidates, regardless of background or circumstances.
We celebrate diversity and support individuality for the benefit of our employees, products, and community. If you require special accommodations during the hiring process, please let us know so we can assist you.
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