Machine Learning Engineer
7 days ago
MindsDB is a fast-growing AI startup headquartered in San Francisco, California. Our mission is to empower companies to easily build AI capabilities that can Think, Understand and Orchestrate. We're passionate about innovation and collaboration, and we're looking for a talented Machine Learning Engineer to join our team.
The Role
We're seeking a highly skilled Machine Learning Engineer to focus on building advanced machine learning solutions for the MindsDB platform. You'll work on robust Text-to-SQL systems and optimize Retrieval Augmented Generation (RAG) for both structured and unstructured data. Your expertise in transformer models and advanced retrieval techniques will be essential in delivering state-of-the-art LLM-driven solutions.
In this role, you'll fine-tune and deploy transformer models like Llama and OpenAI APIs, while collaborating with cross-functional teams to solve complex problems. Your experience in data structures, algorithms, and software design will help you contribute to innovative AI solutions at MindsDB.
This is a hybrid role (2-3 days in office/week) and we are looking for a candidate based in the Bay Area.
What You'll Be Working On
1. Researching, building, and evaluating novel LLM-powered enterprise applications.
2. Developing robust Text-to-SQL systems for interacting with enterprise data sources.
3. Building and maintaining Retrieval Augmented Generation (RAG) systems for diverse data sources, and designing and optimizing retrieval systems for both structured and unstructured data.
4. Experience with advanced RAG algorithms beyond naive approaches is required.
5. Researching and implementing advanced chunking techniques (e.g., semantic, contextual retrieval, late chunking) along with a thorough understanding of retrieval concepts such as embeddings, late interactions, query expansion, bi-encoders, and cross-encoders.
6. Apply these techniques based on specific application needs.
7. Building agentic and tool-calling systems to extend the capabilities of LLMs.
8. Employing an "Evaluation Driven Development" approach, working with messy datasets and creating evaluation metrics.
9. Fine-tuning and deploying transformer models (e.g., Llama, OpenAI APIs), building agent-based applications, and integrating them into production environments.
10. Be capable of building a RAG system from scratch without relying on LLM frameworks, while being familiar with LLM frameworks (e.g., Langchain, LlamaIndex, DSPy) or willing to learn.
Requirements/Qualifications
1. 3+ Years of ML Engineering Experience
2. Proven experience in machine learning engineering, particularly with LLMs and retrieval-based systems.
3. Strong software engineering skills, including experience in data structures, algorithms, and software design.
4. Experience working with transformer models, fine-tuning, and deploying them in production.
5. Ability to build end-to-end machine learning systems, especially in RAG and agentic contexts.
6. Familiarity with LLM frameworks or a willingness to learn.
7. Excellent problem-solving abilities and a passion for creating innovative AI-driven solutions.
8. Strong communication and team collaboration skills.
Nice to Have
1. Startup experience with fast-paced adaptability.
2. Cloud platform experience (AWS, GCP, Azure) for ML deployments.
3. MLOps knowledge, including CI/CD and model monitoring.
4. Experience with big data tools (SQL, NoSQL, Spark).
5. Open-source contributions in LLM or AI projects.
Benefits & Perks
1. Flexible Working Hours
2. Competitive Compensation
3. Competitive Medical, Dental, Vision, Life Insurance
4. 401k with up to 6% matching
5. Unlimited PTO
6. New Hire Remote Setup budget ($1500)
7. Lunch Provided Mon-Fri
8. Internet Budget ($25/month)
9. Commuter Budget ($1200/year)
10. Learning & Development budget
11. Wellbeing Budget ($1200/year)
12. Monthly (virtual) team events
13. International in-person company retreats
14. Wellbeing/Mental Health leave
Diversity, Equality & Inclusion
MindsDB is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all of our employees. We will give all qualified applicants consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.
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