Machine Learning Engineer (Remote)

New Today

Overview:
The Machine Learning Engineer at Weedmaps will be a key technical contributor within our Data organization. In this role you will build and deploy sophisticated AI and machine learning systems that power our marketplace and e-commerce platform. The ideal candidate is a hands-on ML practitioner with strong software engineering fundamentals who can build end-to-end systems that deliver measurable business impact. You will collaborate extensively with cross-functional teams, including Product to understand user needs and translate them into ML solutions; Engineering to integrate ML systems into our broader ecosystem; Data and Analytics to leverage insights and coordinate on data strategies; as well as stakeholders across the business to ensure ML initiatives are aligned with company objectives.
As part of our Data organization, you will develop and deploy machine learning solutions that address unique challenges in our marketplace, including product matching, personalized recommendations that comply with complex regulatory requirements, and data-driven optimizations across our marketplace. The explosive growth of the cannabis industry requires increasingly sophisticated ML solutions that can scale with our business.
The impact you'll make: Develop production-ready Python-based ML models with a focus on advanced NLP, similarity metrics, and product matching and recommendations
Create and refine machine learning pipelines that can handle the unique challenges of our product data, including inconsistent naming and categorization
Develop comprehensive evaluation frameworks including evals and metrics to benchmark ML model performance in real-world scenarios
Implement automated evaluation pipelines to continuously monitor model performance in production
Build and maintain scalable ML infrastructure using a mix of managed services (eg AWS SageMaker) and custom services (such as function as a service apps on Kubernetes)
Implement best practices for model serving, versioning, and monitoring in production environments
Optimize model deployment pipelines for reliability, performance, and cost-efficiency
Design, implement, and analyze A/B (or MAB) tests to evaluate ML system performance in production systems (e.g. with Optimizely or similar tools), ensuring that ML systems achieve business objectives
Design and build API-based microservices that integrate ML functionality into our broader engineering ecosystem, ideally creating reusable ML components that can be leveraged across multiple product lines What you've accomplished: Bachelor's degree in Computer Science, Data Science, or related quantitative field
2+ years of experience building and deploying machine learning models in production environments
4+ Years of relevant experience in Machine Learning, Data Science, Data/Software Engineering.
Strong programming skills in Python and experience with modern LLM endpoints
Experience with MLOps practices for model monitoring, maintenance, and lifecycle management
Demonstrated expertise in machine learning algorithms and frameworks (e.g. TensorFlow, PyTorch, or scikit-learn) as well as modern LLM systems (Anthropic, OpenAI) with a proven track record of deploying models to production
Proficiency in software engineering best practices, including version control, code review, testing, and documentation
Strong understanding of data engineering principles and experience with data preprocessing, feature engineering, and data quality assurance
History of effective collaboration with cross-functional teams to deliver ML solutions that drive measurable business results
Experience communicating complex ML concepts to both technical and non-technical stakeholders
Experience with cloud computing platforms, preferably AWS (particularly SageMaker and Bedrock) Bonus points: Experience using AI endpoints such as Claude or ChatGPT for embeddings and more advanced AI pipeline use cases such as hybrid ranking systems leveraging RAG with AI-based re-rankers that optimize specific metrics (e.g. precision)
Successfully built and deployed ML systems that solved real business problems in e-commerce or marketplace environments
E-commerce or marketplace business experience preferred
Regulated industry experience - nice to have The base pay range for this position is $181,875.00 - $200,645.00 per year
2025 Benefits for Full Time, Regular Employees: Physical Health benefits: Medical, Dental & Vision: Employee - employer paid premium 100%
Company contribution to a HSA when electing the High Deductible Health Plan
For plans that offer coverage to your dependents, you pay a small contribution Mental Health benefits: Free access to CALM app for employees and dependents
Employee Training
Mental Health seminars and Q&A sessions Basic Life & AD&D - employer paid 1x salary up to $250,000
401(k) Retirement Plan (with employer match contribution)
Generous PTO, Paid Sick Leave, and Company Holidays
Supplemental, voluntary benefits Student Loan Repayment/529 Education Savings - including a company contribution
FSA (Medical, Dependent, Transit and Parking)
Voluntary Life and AD&D Insurance
Critical Illness Insurance
Accident Insurance
Short- and Long-term Disability Insurance
Pet Insurance
Family planning/fertility
Identity theft protection
Legal access to a network of attorneys Paid parental leave Why Work at Weedmaps? You get to work at the leading technology company in the cannabis industry
You get to play a meaningful role in helping to advance cannabis causes, including helping improve the lives of patients who rely on the benefits of cannabis
You get an opportunity to shape the future of the cannabis industry
You get to work on challenging issues in a collaborative environment that encourages you to do your best
You get to work in a casual and fun environment; no fancy clothes required, but you are free to dress to the nines!
Generous PTO and company holidays
Numerous opportunities and tools to learn and grow your professional skills
Endless opportunities to network and connect with other Weedmappers through speaker series, Employee Resource Groups, happy hours, team celebrations, game nights, and much more! Weedmaps is an equal opportunity employer and makes employment decisions on the basis of merit. The Company prohibits unlawful discrimination against employees or applicants based on race (including traits historically associated with race, such as hair texture and protective hairstyles), religion and religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, military status, veteran status, uniformed service member status, sexual orientation, transgender identity, citizenship status, pregnancy, or any other consideration made unlawful by federal, state, or local laws. The Company also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics. Our company uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify.
Applicants are entitled to reasonable accommodations under the terms of the Americans with Disabilities Act and applicable state/local laws, unless the accommodation presents undue hardship. Please email us at peopleoperations at weedmaps.com if you would like to confidentially discuss a potential accommodation during the interview process.
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Location:
New York
Job Type:
FullTime

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