Machine Learning Engineering Director
hace 4 semanas
Company Overview: Loka® Inc is a pioneering technology company that empowers meaningful projects across diverse industries. Our commitment to innovation has led to impactful collaborations, including the advancement of the world's #1 AI reading tutor, elimination of $1B in food waste, and development of novel cancer-fighting drugs. We value growth, flexibility, and collaboration.
Job Description: As a Machine Learning Lead at Loka®, you will be responsible for deploying, securing, and maintaining ML models in production environments, primarily on AWS. Your expertise will drive technical brilliance and leadership, contributing positively to our unique culture.
Key Responsibilities:
- Lead a team of ML engineers in architecting, building, and optimizing scalable, cost-efficient ML models and ensuring performance in production environments.
- Provide constructive team feedback through regular one-on-one meetings and drive technical and professional development.
- Manage end-to-end ML projects, including data exploration, model development, deployment, and scaling while delivering solutions that meet business and client needs.
- Collaborate with stakeholders to align ML initiatives with strategic objectives, ensuring clear communication with both technical and non-technical audiences.
- Foster the team's professional growth by creating development plans and encouraging a positive, collaborative remote working environment.
- Own the development and automation of ML workflows, including data pipelines and model deployment, with a focus on scalability and efficiency.
- Ensure strong cross-functional collaboration with Data Engineering, DevOps, BackEnd, and other teams to deliver cohesive solutions.
- Work closely with senior leadership to align ML initiatives with long-term company strategies.
Requirements:
- 5+ years of experience in machine learning, with 3+ years leading a team
- Strong knowledge of Python, ML libraries, and frameworks such as PyTorch, HuggingFace, and TensorFlow
- Hands-on experience with GenAI solutions using LLMs (even if not at an expert level), including prompt engineering and understanding of common patterns like RAG and NLQ
- Client-facing experience, including the ability to gather requirements, set expectations, and deliver technical presentations, sometimes to non-technical people
- Bachelor's degree in Computer Science, Engineering, or related field
Salary: The estimated salary for this role is $175,000 - $225,000 per year, depending on location and experience.
Benefits:
- Every other Friday off (26 extra days off a year)
- Remote and flexible work arrangements
- Explore and Relocation programs (three months work abroad or full international relo)
- Paid sick days and local holidays
- Premium mental health subscriptions
- Access to LokaLabs, our internal research and development program
- LokaLabs incubator
- Fitness subscription
- Mental wellness programs
- Defined career path
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