Machine Learning Jobs in Monterrey.
All active Machine Learning roles based in Monterrey.
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Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works.
Are you the person who knows everyone on campus? Are you fascinated by how AI and robots perceive the world? We're looking for energetic, outgoing, and tech-savvy Campus Ambassadors to help us build the next generation of robotics technology. In this role, you'll be the face of our robotics initiatives on your campus. Your mission is to engage with fellow students and guide them through short, fun data collection sessions using an iPhone. You aren't just collecting data—you're helping train the computer vision models that will power the future.
What You'll Do
- Engage & Recruit: Approach students on campus (quads, student unions, study areas) and invite them to participate in a paid/incentivized data recording session.
- Capture Data: Guide students through recording high-quality video and sensor data of participants performing specific movements or interacting with objects using our app.
- Quality Control: Ensure lighting, framing, and movement instructions are followed strictly to ensure data is usable for machine learning.
- Educate: Briefly explain the purpose of the technology to participants, creating excitement about the project.
- Manage Goals: Meet weekly targets for the number of unique participants recorded.
Who You Are
- The Social Butterfly: You're comfortable walking up to strangers, striking up a conversation, and explaining complex ideas simply. Rejection doesn't phase you.
- Tech-Fluent: You're comfortable using iOS devices, troubleshooting basic app issues, and following technical instructions.
- Detail-Oriented: You understand that "garbage in, garbage out" applies to AI. You care about capturing the perfect shot.
- Reliable: You show up when you say you will and you treat the equipment with care.
- Currently Enrolled: You're a student at a University with availability to work 10–15 hours per week (flexible schedule).
- Physically Capable: Comfortable holding an iPhone steady for extended periods and standing/walking around campus for the duration of a shift.
Nice to Haves
- Interest in Computer Science, Robotics, Engineering, or Marketing
- Experience in street teaming, sales, or photography
- Previous ambassador, promotional, or field marketing experience
The Perks
- Competitive Pay: Earn competitive hourly rates + performance bonuses for hitting high-volume targets
- Flexible Schedule: Work between classes or on weekends
- Resume Booster: Gain hands-on experience with an AI/Robotics project and field operations
- Networking: Connect with the engineering and product teams working on cutting-edge robotics technology
#LI-BJ1
Our Values
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Empathy, Trust & Candor
We put ourselves in the shoes of our colleagues and customers and don’t shy away from uncomfortable conversations, instead building trust through honest and direct feedback. -
Bias for Action
We practice high-velocity decision-making, clear-eyed that we often operate with incomplete information. Growing quickly means it’s OK to be wrong, so long as we learn from our mistakes and course correct! -
Always Be Learning
We’re a curious bunch, and with AI transforming our workplace we encourage everyone to learn from each other, compounding our knowledge and experience to help us change an entire industry. -
Act Like an Owner
We work long, hard, and smart, building products that delight our users and drive growth. Your ability to impact Instawork is limited only by your courage and conviction, not your job description.
About Instawork
Founded in 2015, Instawork is the nation’s leading online labor marketplace for food services, hospitality, light industry, and logistics, connecting more than 7M skilled workers with local restaurants, hotels, warehouses, stadiums, and more. Our AI-powered platform serves thousands of businesses across more than 50 major markets in the United States and Canada. We're not just helping fill shifts, we're supporting local economies—and we're just getting started!
Instawork has been featured by CBS News, The Wall Street Journal, The Washington Post, and the Associated Press. Forbes included us on their Next Billion Dollar Startups list; RetailTech Breakthrough named us Workforce Hiring Solution of the Year for 2025; and Inc. 5000 recognized us as one of the country's top 10% fastest-growing companies two years in a row. But what matters most is our impact. We're solving real problems for real people, and we’re doing it at scale.
Join our team to help us build something that matters! We’re looking for superstars who want to help us shape the future of work. With hubs in San Francisco, Bangalore, and Chicago, city offices in New York, Phoenix, and Singapore, we're back to working together in-person five days a week because we believe the best ideas happen when great people collaborate face-to-face. We also value diverse perspectives and encourage applications from candidates of all backgrounds.
Ready to make an impact? Learn more at www.instawork.com/about.
Ready to apply?
Apply to Instaworkdunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.
dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro.
We’re looking for a Senior Applied Data Scientist ready to elevate their impact. In this role, you’ll lead analytical projects end‑to‑end, applying advanced techniques to distil complex challenges into clear, actionable insights for our clients. You’ll combine strong technical expertise with strategic thinking, guiding both the analytical direction of projects and the quality of insight delivery
As part of our senior team, you’ll investigate and implement advanced methodologies, mentor junior colleagues, and collaborate closely with clients and internal teams to ensure alignment, clarity, and value.
What you'll be doing:
- Lead and execute analytical projects, applying advanced machine learning and analytical methodologies to solve complex client problems.
- Investigate & implement the most appropriate analytical techniques for each project, re-use and enhance global solutions and code.
- Deploy data science algorithms and market products on the designated tech stack, ensuring efficient and cost-effective delivery.
- Build and maintain strong relationships with internal teams and clients, ensuring clear communication and alignment on project requirements.
- Participate in external client meetings, helping explain methodologies, analytical approaches, and solution designs.
- Lead, support and guide junior team members, enabling smooth execution of their projects while maintaining quality standards
What we expect from you
- English language proficiency
- Minimum 5 years of experience with programming and Data Science in work/business environment
- Strong experience with SQL and Python programming, object oriented programming and Test driven development. Experience with PySpark is preferred
- Experience in applying advanced statistical models or machine learning algorithms to solve a variety of complex problems
- Advanced analytical skills, Insights Analysis, Data Visualization and Story telling. Experience with Power BI/Looker studio is a plus.
- Ability to manage own projects, analytical work streams for client accounts, coordinate related projects with other team members and coach more juniors team members.
- Experience working in retail analytics is a nice to have.
What you can expect from us
We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.
You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.
And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.
Our approach to Flexible Working
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)
Ready to apply?
Apply to dunnhumby
About the Role
On Trivelta, we build the technology that powers modern, social-first gaming experiences. Through our proprietary sportsbook and casino engine, we enable partners to launch fully branded, legally compliant gaming products combining real social interactions, predictive gameplay, and casino entertainment in one unified experience.
Headquartered in Boston with operations in Monterrey, Barcelona, and Atlanta, we’re scaling rapidly and building a global team passionate about redefining how people play, socialize, and connect.
We’re seeking a hands-on Data Analyst to join our team in Monterrey, MX. In this role, you’ll work closely with business stakeholders to turn complex data into clear, actionable insights. You’ll leverage strong SQL skills to build analyses, dashboards, and reports that support data-driven decision-making across the organization. This is an excellent opportunity for an analytical, collaborative professional looking to make a direct impact in a fast-growing, international environment.
What You’ll Do
- Write complex, efficient SQL queries to analyze data from multiple sources.
- Build reusable datasets, views, and queries for reporting and self-service analytics.
- Partner with stakeholders to define metrics, gather requirements, and translate business questions into analytical solutions.
- Design and maintain dashboards and reports using modern BI tools (Power BI, Tableau, Looker, QuickSight, or similar).
- Validate data quality, investigate anomalies, and ensure consistent KPI definitions.
- Support ML and advanced analytics projects by preparing datasets and interpreting results.
- Work with cloud-based data platforms, preferably AWS (S3, Athena, Redshift, RDS, Glue).
- Apply basic graph or network analysis concepts when working with relationship-based data.
What You Bring
Must-have
- Bachelor’s degree in a technical or quantitative field.
- 2–5+ years of experience in a data analyst, BI analyst, or similar role.
- Strong hands-on SQL skills (joins, subqueries, window functions).
- Experience working directly with business stakeholders.
- Experience building dashboards in at least one modern BI tool.
- Advanced English and strong communication skills.
Nice-to-have
- Exposure to machine learning or advanced analytics projects.
- Experience with AWS or another cloud data platform.
- Familiarity with Python or R for data analysis.
- Experience with graph or network analysis.
Ready to apply?
Apply to Trivelta