Job summary
Job post source
This job is from a recruiting firm hiring for a separate company as indicated by the phrase 'My Client' and lack of direct company hiring language.
Job overview
The Machine Learning Engineer role focuses on developing and deploying large language model applications to create impactful AI-powered tools in the building industry startup.
Responsibilities and impact
The engineer will design and optimize prompts for LLMs, fine-tune models, develop evaluation pipelines, collaborate with product and UX teams, research new prompting techniques, write reusable tools, and monitor model performance in production.
Compensation and benefits
The position offers a competitive salary, early-stage equity, flexible hybrid work schedule, a beautiful NYC workspace, generous vacation, healthcare, and wellness benefits.
Experience and skills
Candidates should have 2-5+ years in machine learning, NLP, or applied AI, experience with LLMs, strong Python and ML framework skills, deep prompt engineering knowledge, and familiarity with LLMOps tools is a plus; startup experience and published research are preferred.
Career development
The role offers opportunities to work on cutting-edge AI applications with real user impact in a small, ambitious, and collaborative team environment.
Work environment and culture
The company culture is startup-minded, collaborative, and values high ownership and dynamic work environments with a flexible hybrid schedule.
Company information
The client is a fast-moving NYC startup focused on AI-powered solutions for the building industry using large language models to build human-centric tools.
Team overview
The candidate will join a small, ambitious, and collaborative team working closely with product, engineering, and design members.
Job location and travel
The job is based in New York City with a flexible hybrid work schedule and a beautiful office workspace.
Unique job features
The role involves working with cutting-edge LLM technologies, prompt engineering, fine-tuning techniques like RLHF and LoRA, and integrating AI into real-world user flows.
Company overview
The Cypress Group is a private equity firm specializing in leveraged buyouts and growth capital investments in middle-market companies across various industries. They generate revenue by acquiring, managing, and eventually selling these companies at a profit, often enhancing their value through strategic guidance and operational improvements. Founded in 1994 by former Lehman Brothers executives, the firm has a notable history of successful investments and a reputation for fostering significant growth in its portfolio companies.
How to land this job
Position your resume to highlight your experience with large language models such as GPT-4, Claude, or Gemini, emphasizing your skills in prompt engineering and fine-tuning techniques like instruction tuning, RLHF, or LoRA.
Emphasize your proficiency in Python and ML frameworks like PyTorch or TensorFlow, along with any experience you have using LLMOps tools such as LangChain, Weights & Biases, or MLflow, to align with the technical requirements.
Apply through multiple channels including The Cypress Group's corporate careers page, LinkedIn job postings, and other relevant AI startup job boards to maximize your application's reach.
Connect with current employees in the AI or machine learning teams at The Cypress Group on LinkedIn; start conversations by referencing recent projects or innovations they've shared, or by expressing genuine interest in their work with LLMs and prompt engineering.
Optimize your resume for ATS by including keywords from the job description such as 'prompt engineering,' 'large language models,' 'fine-tuning,' 'PyTorch,' 'TensorFlow,' and 'LLMOps' to ensure it passes initial screenings effectively.
Use Jennie Johnson's Power Apply feature to automate tailored applications, identify the best job portals, and discover LinkedIn connections to network with, allowing you to focus your energy on preparing for interviews and skill development.
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