Machine Learning Engineer (Remote)

Machine Learning Engineer (Remote)

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.

About Weedmaps:

WM Technology, Inc.’s (Nasdaq: MAPS) mission is to power a transparent and inclusive global cannabis economy. Now in its second decade, WM Technology has been a driving force behind much of the legislative change we’ve seen in the past 10 years.

Founded in 2008, WM Technology, is a leading technology and software infrastructure provider to the cannabis industry, comprising a B2C platform, Weedmaps, and B2B software, WM Business. The cloud-based SaaS solutions from WM Business provide an end-to-end operating system for cannabis retailers. WM Business’ tools support compliance with the complex, disparate, and constantly evolving regulations applicable to the cannabis industry. Through its website and mobile apps, WM Technology provides consumers with the latest information about cannabis retailers, brands, and products, facilitating product discovery and driving engagement with our retail and brand customers.

WM Technology holds a strong belief in the power of cannabis and the importance of enabling safe, legal access to consumers worldwide. Since inception, WM Technology has worked tirelessly, not only to become the most comprehensive platform for consumers, but to build the software solutions that power businesses compliantly in the space, to advocate for legalization, social equity, and licensing in many jurisdictions, and to facilitate further learning through partnering with subject matter experts on providing detailed, accurate information about the plant.

Headquartered in Irvine, California, WM Technology supports remote work for all eligible employees. Visit us at www.weedmaps.com.

Notice to prospective Weedmaps job applicants:

Our team has been made aware of incidents involving LinkedIn, Telegram, and Facebook accounts impersonating Weedmaps recruiters. These individuals are attempting to use our company name to solicit payment from prospective candidates interested in applying for jobs at our company. Our team is actively working to combat these attempts, but in the meantime, please be mindful of the following:

• Our recruiters will always communicate with candidates through an @weedmaps.com email address.

• CORRECT: jlebowski@weedmaps.com

• INCORRECT: jlebowski@gmail.com

• Our recruiters will NEVER ask for or attempt to solicit payment from applicants in order to apply, interview, or work for Weedmaps.

• If you are interested in a role at Weedmaps, please apply through our established channels.

• Weedmaps Careers Page or LinkedIn

If you are unsure if a communication is legitimate, please contact our recruitment team at talentops@weedmaps.com and they will happily confirm for you. Thank you for your vigilance and we appreciate your interest in working with us!