Benefits:

• Health, dental & vision benefits

• Flexible work environment

• Unlimited vacation

• Stock option grants

Experience Requirements:

• Confidence in building new products

• Experience mentoring others

• Excellent verbal and written communication skills

• Passion for learning new things

• Proven Experience with Language Models and NLP Techniques: Applicants must demonstrate experience working with large language models (such as Llama 2, Mistral, or similar architectures), including fine-tuning, and deploying models for various applications. Expertise in NLP techniques for text analysis, generation, and understanding is required.Experience with Vector Databases: Candidates must have experience with vector databases such as Pinecone, or PGVector, and possess familiarity with techniques for efficient vector search and similarity scoring. Knowledge of integrating these databases into applications in semantic search, recommendation systems, or content discovery using embeddings from language models is required.Strong Programming Skills: Proficiency in programming languages such as Python, and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) is essential. Experience with software development best practices, including version control (Git), code review, and CI/CD pipelines, is also necessary.Data Handling and Model Optimization: Experience in handling large datasets, preprocessing data, feature engineering, and optimizing models for performance and efficiency. Knowledge of parallel computing, GPUs, and cloud services (AWS, Google Cloud, Azure) for scalable model training and deployment is a plus.Collaboration and Problem-Solving Skills: Ability to work effectively in a team, collaborating with data scientists, software engineers, and product managers to integrate LLMs into products and services. Strong analytical and problem-solving skills, with the capability to tackle complex challenges and drive innovation in LLM technology

Responsibilities:

• Help build out our real-time LLM solutions

• Scale vector databases

• Productize and provision solutions from our research team

• Bring inventions into production

• Design and measure AI quality and evaluation metrics

Benefits:

• Competitive salaries with annual bonus eligibility

• Annual performance appraisal & compensation review

• 401(k) with employer match

• Health, dental, and vision insurance

• Pre-tax transit accounts Vacation, personal, and holiday time-offFree and discounted MZW productFully-stocked kitchen and weekly catered lunchesHappy hours on our roof deck and seasonal team outingsContinuing educationBeautiful SoHo office

Education Requirements:

• Working towards bachelor's degree in fashion design, industrial design or related field

Experience Requirements:

• Proficient in the Adobe Creative Suite: Photoshop and Illustrator

• Proficient in Microsoft Suite

• An understanding of materials

• Strong attention to detail and organizational skills

• Ability to work independently and as part of a team.A self-starter and ability to multi-taskEnthusiasm for the arts, fashion and designMust be able to commit to 15-25 hours/ week

Responsibilities:

• Assist in daily tasks to support the design team

• Assist in research and mood boards

• Help organize samples and materials

• Assist in meeting preparation

• Basic Adobe Photoshop + Illustrator renderingsAdditional projects as needed