The company is looking to build and optimize machine learning systems that power their products.
Requirements
- Strong proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
- Experience with building, training, and optimizing ML models (regression, classification, recommendation, NLP, etc.).
- Familiarity with MLOps best practices (model deployment, versioning, monitoring).
- Experience with cloud platforms (AWS, GCP, Azure) and distributed computing.
- Exposure to vector databases, embeddings, and model fine-tuning is a plus.
- Knowledge of deep learning architectures (CNNs, RNNs, Transformers) is a strong advantage.
- Experience with LLMs (GPT, LLaMA, Mistral), prompt engineering, or fine-tuning.
Responsibilities
- Design, build, and deploy scalable ML models for production systems.
- Work on feature engineering, model training, tuning, evaluation, and deployment.
- Develop and maintain high-performance ML pipelines for data processing and inference.
- Optimize ML models for latency, efficiency, and cost-effectiveness.
- Implement robust monitoring and observability frameworks for ML models in production.
- Work closely with data engineers, MLOps engineers, and product teams to integrate ML solutions into business workflows.
- Gain hands-on experience in deep learning, LLMs, multimodal AI, and generative AI.
Other
- 5+ years of experience in Machine Learning, Data Science, or related fields.
- Good judgment - the exercise of critical thinking, analyzing and assessing problems and implications, identifying patterns, making connections of underlying issues, understanding risks and developing mitigation strategies, and taking ownership of the outcome.
- Teamwork and communication - putting our collective best together through documentation, collaboration, relationship-building, listening, empathy, recruiting, and evangelism.
- Influence and leadership - fostering a community of knowledge-sharing, collaboration, mentorship, and forward-thinking.
- Skills and knowledge - the capacity to actively learn and apply specific domain knowledge, know-how, and best practices to continually enhance and improve.
- Camaraderie - Day to day you can be seen working together toward a higher purpose. You like to have fun. You’re an active listener, treat people respectfully, and have a strong desire to know and help others.
- Openness - Your default is to be open. You're willing to share information, understand other perspectives, and consider new possibilities. You’re curious, ask open questions, and are receptive to thoughts and feedback from others.
- Grit - You demonstrate grit by having the courage to commit and persevere. You’re committed, earnest, and dive in to get the job done well with a positive attitude.
- Integrity - Simply put, do what you say and say what you'll do. You’re honest and forthright, have a strong moral compass, and strive to match your words with your actions while leading by example.
- Simplicity - Be like Einstein: “Everything should be made as simple as possible, but no simpler.”
