Machine Learning Engineer

Location: Hybrid/Remote. Preferred: LA, SF Bay Area, Austin.
Tripalink is a well-funded growth-stage Proptech startup headquartered in Los Angeles backed by prominent technology investors in Silicon Valley and others deeply rooted in the real estate space. We’re dedicated to building the next-gen real estate solutions powered by AI, with a current focus on delivering a frictionless experience end to end for renters and compelling economics for property owners. We have strong and accelerating momentum, having grown 7x in the last 3 years despite the tough environment for startups and the aggressive interest rate hikes negatively impacting the real estate market. 
We are seeking ML engineers passionate about building products powered by AI that delight users and are scalable and secure. The ideal candidates will be self-driven and have a solid foundation in ML (including GenAI/LLM) and a proven track record of shipping products powered by AI.

Responsibilities:

• Collaborate with cross-functional teams to understand business challenges and design AI-driven solutions.
• Develop, evaluate/test, fine tune, and deploy various AI applications.
• Produce high-quality code and maintain documentation for machine learning processes and architectures.
• Stay abreast of emerging technologies, especially new developments in GenAI/LLM areas, and leverage latest technologies and methodologies to improve our solutions.

Requirements:

• Bachelor’s or Master’s degree or PhD in Computer Science, ML, or a related field.
• 1-3 years of experience as a ML engineer, specifically with deploying and managing LLMs. 
• Strong proficiency in Python and ML frameworks such as TensorFlow or PyTorch.
• Demonstrated ability to design and implement machine learning solutions that are scalable and efficient.
• Excellent problem-solving skills and the ability to work in a dynamic and agile environment.
• Strong communication skills for collaborating effectively across diverse teams.
• 1-3 years of full-stack development experience. Experience in shipping SaaS products or Internet services at tech companies is highly desirable.
• Bachelor's or Master’s degree in Computer Science or a related field.
• Proficiency in programming languages such as Java, Python, JavaScript, or comparable ones.
• Familiarity with application frameworks, such as Spring Boot, React, Angular, Node.js, Django, etc.
• Experience in AWS and relational databases such as MySQL, PostgreSQL, etc.
• Strong problem-solving skills with the ability to work independently and manage multiple tasks under pressure.
• Ability to communicate effectively and work well as part of a team in a fast-paced environment that optimizes for quick iterations.

Desirable Skills:

• Experience with cloud platforms (AWS, Google Cloud, Azure) for deploying ML models.
• Background in NLP and familiarity with modern NLP tools and libraries.
• Previous work on AI projects that have successfully gone to production.

What We Provide:- Excellent Working Environment: Energetic, Ambitious, Passionate- Great Team Experience- Regular Team Building Activities- Free Community Event Entrance- Leadership Cultivation & Individual Development- Networking & Resources from External Partners- Opportunities of Rotation Among Departments & Locations
Diversity & Inclusion at TripalinkTripalink is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together.We are proud to be an equal opportunity employer open to all qualified applicants regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, Veteran status, or any other legally protected status.
Note on Pay Transparency:Tripalink provides an estimate of the compensation for roles that may be hired as required by state regulations. This role may also qualify for annual incentive and/or comprehensive benefits. Compensation may vary based on (a) location, as Tripalink factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience.
Additionally, Tripalink leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Tripalink reserves the right to modify this information at any time, subject to applicable law.