
Senior AI/ML Engineer

ChowNow
Summary
Join ChowNow's Engineering Team as a Senior AI/ML Engineer and lead the design, development, and deployment of cutting-edge ML and Generative AI solutions. You will build recommendation systems, generate insights, and create agentic workflows, collaborating with various teams. This remote role, based in the US, requires 5+ years of software engineering experience, including 2+ years in building AI/ML applications. You'll need advanced Python proficiency, experience with recommendation algorithms, reinforcement learning, and MLOps tools. ChowNow offers a competitive salary ($169,725 - $220,500), comprehensive benefits (medical, dental, vision, mental health coverage, unlimited paid vacation, parental leave, 401k matching, student loan assistance, commuter benefits, employee stock options, pet insurance), and ongoing training opportunities.
Requirements
- You have at least 5 years of software engineering experience, including at least 2 years experience in building machine learning and AI applications
- Advanced proficiency in Python with deep knowledge of scikit-learn, pandas, numpy, TensorFlow, or PyTorch
- Proven experience with recommendation algorithms including collaborative filtering, content-based methods, and hybrid approaches
- Solid foundation in reinforcement learning principles and their application to agentic systems
- Understanding of vector databases such as Pinecone, Weaviate or Chroma
- Knowledge of large language models, and prompt engineering techniques
- Expertise in feature engineering, data pipeline construction, and ensuring data quality for AI models
- Experience deploying and managing ML models in production environments with MLOps tools like MLflow, Kubeflow, or Airflow
- Cloud platform expertise with AWS SageMaker, Google AI Platform, or Azure Machine Learning
- Understanding of real-time data processing using messaging and streaming architectures
- You know how to partner with Product, Design, QA and other Engineering Leaders to build compelling AI product features in an Agile environment
- You are a fan of rapid iteration and experimentation. You think about failures as a learning opportunity
- You know how to capitalize on the diverse strengths of the people around you
- You are a thoughtful mentor and leader who loves supporting your team and collaborating with others to achieve great things
- You have a point of view but encourage and welcome critiques
- You thrive in environments supporting your growth, and where you can support others
- You are passionate with a contagious energy, encouraging those around you to pursue their goals
Responsibilities
- Lead the design, development, and deployment of cutting-edge ML and Generative AI solutions in our customer-facing products
- Build recommendation systems
- Generate insights
- Create agentic workflows
- Collaborate with senior staff in other disciplines (e.g., back end, QA, DevOps, etc.) to build consensus toward proposed solutions
- Propose and advocate for best practices to help βlevel upβ the team
- Start the design and implementation of alpha products
- Work with infrastructure and release engineering teams to standardize MLOps practices
- Release alpha product for a recommendations and insights
- Collaborate with product and your manager in identifying and building a deep AI/ML roadmap
Benefits
- Rock solid medical, dental, and vision plans
- Mental Health Coverage - we offer several programs to support your mental health and wellness goals
- Unlimited Paid Vacation. We expect you to work hard, but still enjoy your personal life
- 7 weeks of baby bonding time for all new parents (within the first year of birth or adoption), 8 Weeks of Paid Pregnancy Leave
- 401(k) Matching
- Employer-contributing student loan assistance program or continuing education reimbursement program
- Commuter benefits (including Uber Pool)
- Employee Stock Incentive Plan
- Pet insurance for your fur babies
- Ongoing training and growth opportunities
- A "Best Place to Work" winner multiple times where we focus on creating a great employee experience
- Consistent & fair leadership: weβll share info, set clear goals, show you respect, and treat everyone fairly
- Enough freedom to spread your wings while still holding you accountable
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