Benefits:

• Private Health Insurance

• Company Equity

• Weekly Office Events - Catered Lunch and Breakfast

• Stocked Kitchen

• Company Outings & Quarterly Events Hybrid Working Meal Coupons - Monthly LinkedIn Learning & Training Opportunities/Budget Mental Health Benefits - Wellness Coach App Subscription Great office location in the city center - Parking slots available Gym Subscription - UP Fit Quarterly Charitable Giving Allowance Peer recognition Allowance

Education Requirements:

• Bachelor's degree or higher in Computer Science, Engineering, or a related field.

Experience Requirements:

• Three (3+) or more years of experience working as a machine learning engineer or similar related engineer role.

Responsibilities:

• Develop and implement AI/ML solutions aligned with company goals.

• Lead the research, development, and deployment of AI/ML models using Python, LangChain, LLMs, and HuggingFace transformers, as well as libraries for Deep Learning (e.g., Pytorch, Tensorflow), ML libraries (e.g., XGBoost, Scikit-learn) and NLP (e.g., spaCy, NLTK).

• Fine-tune existing models and/or create new models from scratch to enhance business processes and outcomes.

• Collaborate cross-functionally with teams to identify opportunities for AI/ML integration and optimization.

• Stay abreast of industry trends and advancements to ensure our AI initiatives remain innovative and impactful.

Benefits:

• Competitive salary + stock options

• Remote work friendly

• Medical, dental, and vision plans

• $1000 as a one-time home office upgrade

• Employee and Customer referral programs

Benefits:

• Competitive salary + stock options

• Remote work friendly

• Medical, dental, and vision plans

• $1000 as a one-time home office upgrade

• Employee and Customer referral programs

Benefits:

• Competitive salary + stock options

• Remote work friendly

• Medical, dental, and vision plans

• $1000 as a one-time home office upgrade

• Employee and Customer referral programs