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New Grad Machine Learning Jobs in Miami, FL (NOW HIRING)

Opendoor

Machine Learning Engineer

Miami, FL · On-site

Strong fundamentals in Python; comfortable picking up new ones * Proficiency with statistics and ability to reason distributionally; has put it to work with real-world monitoring of ML systems

Crowe LLP

Machine Learning Engineer

Miami, FL · On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

HCA Healthcare

New Grad RN

Miami, FL · On-site

This paid program will assist you with the transition out of the classroom setting through a formalized series of learning experiences, including: * Advanced clinical training in a specialty area.

HCA Healthcare

New Grad RN

Davie, FL · On-site

This paid program will assist you with the transition out of the classroom setting through a formalized series of learning experiences, including: * Advanced clinical training in a specialty area.

HCA Healthcare

New Grad RN

Aventura, FL · On-site

This paid program will assist you with the transition out of the classroom setting through a formalized series of learning experiences, including: * Advanced clinical training in a specialty area.

HCA Healthcare

New Grad RN

Plantation, FL · On-site

This paid program will assist you with the transition out of the classroom setting through a formalized series of learning experiences, including: * Advanced clinical training in a specialty area.

HCA Florida Kendall Hospital

New Grad RN

Miami, FL · On-site

This paid program will assist you with the transition out of the classroom setting through a formalized series of learning experiences, including: * Advanced clinical training in a specialty area.

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Showing results 21-40

All JobsNew Grad Machine Learning JobsNew Grad Machine Learning Jobs in Miami, FL

New Grad Machine Learning information

See Miami, FL salary details

$24.4K

$40.7K

$84.2K

How much do new grad machine learning jobs pay per year?

As of Sep 2, 2026, the average yearly pay for new grad machine learning in Miami, FL is $40,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,100.00 and $44,000.00 per year, depending on experience, location, and employer.

What is a new grad machine learning?

New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.

What skills and qualifications are needed to thrive as a new grad machine learning?

To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.

What challenges do new graduates face when starting out in a machine learning role, and how can they overcome them?

New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.

What is the difference between New Grad Machine Learning vs Data Scientist?

AspectNew Grad Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related; some experience
Work EnvironmentEntry-level, team-focused, research and developmentData analysis, modeling, cross-functional collaboration
Employer & Industry UsageTech companies, startups, research labsTech, finance, healthcare, consulting firms

New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.

What are popular job titles related to New Grad Machine Learning jobs in Miami, FL?

For New Grad Machine Learning jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching New Grad Machine Learning jobs in Miami, FL look for?

The top searched job categories for New Grad Machine Learning jobs in Miami, FL are:

What cities near Miami, FL are hiring for New Grad Machine Learning jobs?

Cities near Miami, FL with the most New Grad Machine Learning job openings:

New Grad Machine Learning jobs near you
Infographic showing various New Grad Machine Learning job openings in Miami, FL as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $40,729 per year, or $19.6 per hour.

Machine Learning Engineer

Opendoor

Miami, FL • On-site

Full-time

Re-posted 14 days ago

Job description

About Opendoor
At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We've built an end-to-end online experience that has already helped thousands of people and we're just getting started.
About the Role - Senior and Above
You're interviewing for Opendoor's ML team which seeks to automate and refine every decision made in our product. We don't slot into silos; you'll build where you have the most impact and the most fun.
These are builder roles across the ML stack. Wherever you land, you'll be doing one of three things:
  • Building models in business-critical contexts like pricing, risk, repairs, and decision optimization. Leverage frontier techniques to extend our capabilities into the unstructured world of real estate.
  • Building the intelligent services that bring structured, precise decision-making into the highly unstructured world of real estate.
  • Building platforms that accelerate how fast our models learn. How fast we learn dictates how fast this company can grow.

You'll work directly with researchers, product, and operations to build the automation that scales in the real world. Our systems must be agile, accurate, and resilient in a heterogeneous space. We are growing fast and this work is at the core.
This isn't a role for everyone. We choose hard mode. We're process-light, high-trust, and we don't put artificial boundaries between you and the work. You'll be expected to understand how your piece connects to the product and communicate at that level. We don't have project managers, we don't have scrum. We do reviews, proposals, demos, and trust.
What We're Looking For
You ship. You pick the boring solution when boring is right and the novel one when it isn't. You know when "good enough and shipped today" beats "perfect next quarter."
You have high agency. You don't wait for permission or a perfectly scoped ticket. You see the problem, take ownership end-to-end, and pull in whoever you need. Lean teams, significant latitude, real accountability.
You run at unclear problems. The most valuable problems here don't come with a playbook - messy data, imperfect ground truth, markets that shift under you. Ambiguity is the job, not an obstacle to it.
You hold a high standard. You measure twice and cut once. You review code, raise the bar on everything around you, and treat the quality of our end-to-end judgment as your problem.
You think in first principles. You have opinions on architecture, distributed systems, ML lifecycle tradeoffs, and the constraints and tripwires of operating models in a high-stakes environment.
You default to AI. You've already integrated modern AI tools into your daily workflow. You use them to move faster, not as a crutch.
You communicate well. You write clear design docs, give useful code reviews, push back on bad ideas without making it personal, and can land a technical tradeoff with a non-technical stakeholder.
You believe in what we're building. Not hype, conviction. You see the opportunity in what we're doing and you want to be part of finishing it.
You have fun. We stay human when times are hard. The task is daunting, but we're all in it together.
What You'll Do
  • Build and train models that real customers and real money depend on - pricing, automation, and decision systems in production
  • Work side-by-side with researchers and analysts to turn prototypes into clean, testable, production-ready code and systems
  • Own model pipelines end-to-end: data ingestion, training, validation, versioning, deployment, and monitoring
  • Design, build, and evolve mission-critical services and APIs that connect to real-world, messy operations
  • Build the platform that accelerates the full ML lifecycle: agentic research, automated retraining, experimentation, deployment, monitoring
  • Proactively tackle real-world challenges like sparsity, data drift, and model decay in a volatile market
  • Use AI tools daily and help push them further than anyone else in the industry
  • Lead technical design reviews, mentor teammates, and raise the bar on everything around you

Qualifications
  • Senior-level or above: deep experience shipping and operating production ML systems, ML-adjacent services, or data/ML platforms
  • Strong fundamentals in Python; comfortable picking up new ones
  • Proficiency with statistics and ability to reason distributionally; has put it to work with real-world monitoring of ML systems
  • Expertise with the end-to-end ML lifecycle (training, evaluation, deployment, monitoring, and iteration) and associated tooling (e.g. MLflow, Airflow, Spark, Delta Lake)
  • Demonstrated ability to make and communicate design decisions and tradeoffs across stakeholders
  • Based in or willing to relocate to Miami, Toronto, or Seattle

Nice to Have
  • ML systems experience in business-critical domains: pricing, forecasting, logistics, marketplaces, risk
  • Streaming and event-driven systems (e.g. Kafka), gRPC, Redis, or workflow engines
  • Interest in real estate or other messy, high-stakes domains with imperfect data

Interview Process
We move fast. Typically:
  • Recruiter phone screen (15 min)
  • A 60 minute technical deep dive to understand a past problem or project you've worked on
  • Two 60 minute pairing-style technical reviews

We're not running these to see if you can finish a problem under pressure. We want to know what it's like to work with you. Before each interview you'll receive an email on what to expect.
Not a perfect fit on paper but clearly excellent? Apply anyway and tell us why in your cover letter. We value T-shaped people. If you have deep expertise in an adjacent area and a strong point of view on how it applies here, that's exactly who we want to talk to.
About Opendoor
At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership, giving people the freedom to buy and sell on their own terms. We've built an end-to-end online experience that has already helped thousands of people - and we're just getting started.

Apply