Machine Learning Engineer

As a Machine Learning Software Engineer, you will be responsible for training, fine-tuning, and evaluating ML models that power our consumer-focused AI applications. This will require building on-device and server-side models that are both accurate and efficient, capable of scaling up as our user base grows.

This role requires a strong understanding of machine learning, as well as experience with large-scale data processing and software engineering. Additionally, there are open-ended problems around learning multimodal representations and learning to use external databases.

Responsibilities:

• Design and implement machine learning models that power novel consumer applications
• Develop and maintain large-scale production data processing pipelines
• Optimize models for performance, accuracy, and speed
• Stay up-to-date with the latest developments in machine learning research and apply them to our products
  
  

Qualifications:

• Bachelor's, Master's, or Ph.D. in Computer Science, Machine Learning, or related field
• Strong understanding of machine learning algorithms and techniques, including Transformers, LoRA, RLHF, data cleanup and augmentation, regularization, and RETRO-style prompting.
• Hands-on experience with at least one major machine learning framework such as TensorFlow or PyTorch
• Experience with large-scale data processing and software engineering
• Experience with natural language processing, speech processing, or computer vision
• Proficiency in Python
• Excellent problem-solving and analytical skills
• Strong communication and collaboration skills
  
  

Nice-to-haves:

• Experience with cloud computing platforms such as AWS, Azure, or GCP
• Experience with data processing and ML tools like MLflow, Google AutoML, and Apache Spark
• Experience building something from nothing, either at a startup or in a successful side project.
  
  

If you are passionate about building innovative new products, and you’re eager to work in a dynamic startup environment, please send us your resume, we would love to hear from you.