Machine Learning Engineer
Machine Learning Engineer
Continua AI, Inc.
San Francisco, CA
See who Continua AI, Inc. has hired for this role
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:
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
- 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
- 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.
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Seniority level
Entry level -
Employment type
Full-time -
Job function
Engineering and Information Technology -
Industries
Technology, Information and Internet
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