Urgent! Machine Learning Engineer (Hybrid) Job Opening In Austin – Now Hiring Weedmaps
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:
What you've accomplished:
Bonus points:
The base pay range for this position is $181,875.00 - $200,645.00 per year
2025 Benefits for Full Time, Regular Employees:
Why Work at Weedmaps?
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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Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in Austin, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Machine Learning in Austin, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 10814 jobs in United States and 120 jobs in Austin. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Weedmaps is currently hiring and seeking a Machine Learning Engineer (Hybrid) to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Machine Learning Engineer (Hybrid) Jobs Austin.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Weedmaps adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine Learning Engineer (Hybrid) Jobs United States varies, but the pay scale is rated "Standard" in Austin. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Machine Learning Engineer (Hybrid) typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Machine Learning Engineer (Hybrid) interview at Weedmaps, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Weedmaps's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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