Our Machine Learning teams build with the latest tools and launch for Silicon Valley startups and Life Science giants alike.
Join our team to work remotely, ship projects you’re proud be a part of, and enjoy every other Friday off (yes, we really take it 😎)
The Role:
- Understand business objectives and develop models that help achieve them, along with metrics to track their progress
- Design and implement complex ML systems using classical ML, DL and Foundation Models by following best practices
- Lead client communications gathering requirements, managing expectations, and communicating deliverables
- Wrangle, explore and visualize data with a careful eye for issues that require data cleaning as well as differences in data distribution that may affect performance when deploying the model in the real world
- Analyze the errors of the model and design strategies to overcome them
- Deploy, maintain, and upgrade ML models and pipelines.
The Benefits:
- Every other Friday off (26 extra days off a year)
- LokaLabs™ incubator
- Relocation & Explore program (3 months or full relo)
- Remote and flexible
- Paid sick days and local holidays
- Fitness subscriptions and more
Main Requirements:
- Bachelor’s Degree in Computer Science or related
- 4+ years of experience with Python, ML libraries and AI/ML frameworks (PyTorch, HuggingFace, TensorFlow, Keras, Scikit-learn, Spark etc.)
- Strong understanding of statistical, ML and deep learning algorithms (candidates with NLP experience preferred)
- Experience building GenAI solutions, namely prompt engineering (e.g: Langchain), fine-tuning and serving LLMs, search and embeddings, etc.
- Experience with MLOps, favorably in AWS (e.g: Sagemaker) as well as standards tools (e.g: MLFlow)
- Experience visualizing and manipulating big datasets
- Ambition to learn and grow into different industries with a modern tech stack
- Autonomy, adaptability and positivity (fully remote and globally distributed team)
- Proficient in English