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Founding Machine Learning Engineer Jobs in Miramar, FL

Opendoor

Machine Learning Engineer

Miami, FL · On-site

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 ...

Acclaim

Principal Machine Learning Engineer

Miami, FL · On-site +1

Strong coding and engineering skills Responsibilities * Develop and improve / Voice Generation models * Train, fine-tune, and evaluate speech models * Bring research ideas into production systems

Seez

Generative AI and ML Engineer

Fort Lauderdale, FL · On-site +1

We're looking for a Generative AI & Machine Learning Engineer who thrives at the intersection of research and real-world impact. This role is perfect for someone who loves experimenting with new ...

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All JobsFounding Machine Learning Engineer JobsFounding Machine Learning Engineer Jobs in Miramar, FL

Founding Machine Learning Engineer information

See Miramar, FL salary details

$29.2K

$119.3K

$179.3K

How much do founding machine learning engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for founding machine learning engineer in Miramar, FL is $119,339.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,100.00 and $143,600.00 per year, depending on experience, location, and employer.

What is a founding machine learning engineer?

A Founding Machine Learning Engineer is one of the first technical team members at a startup who specializes in designing, building, and deploying machine learning systems. This role involves working closely with the founders to set the technical direction, build core AI products, and establish best practices for data and model development. In addition to hands-on coding and experimentation, a Founding Machine Learning Engineer often influences product decisions and helps shape the company's engineering culture. The role typically requires a blend of deep technical expertise, startup agility, and a willingness to tackle both high-level strategy and low-level engineering tasks.

How much does a founding machine learning engineer make?

A founding machine learning engineer typically earns between $120,000 and $180,000 annually, depending on experience, location, and company size. Equity and bonuses are also common components of compensation, especially in startup environments where they play a significant role in total earnings.

What are some unique challenges and expectations for a founding machine learning engineer in an early-stage startup?

As a Founding Machine Learning Engineer, you'll face the unique challenge of building the company's machine learning infrastructure from the ground up, often with limited resources and rapidly evolving requirements. You'll be expected to wear many hats, from designing and deploying models to setting up data pipelines and collaborating closely with product and engineering teams. Your role will also involve making critical decisions about technology stacks and best practices that will shape the company's technical direction. Additionally, you'll have significant influence on the company's culture and have ample opportunities for growth as the team expands.

What are the key skills and qualifications needed to thrive as a founding machine learning engineer, and why are they important?

To thrive as a Founding Machine Learning Engineer, you need deep expertise in machine learning algorithms, software engineering, and data science, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and experience deploying ML models in production are typically required. Strong problem-solving abilities, entrepreneurial mindset, and excellent communication skills set standout candidates apart. These skills and qualities are vital for driving innovation, building scalable solutions from scratch, and collaborating within a fast-paced startup environment.
What are popular job titles related to Founding Machine Learning Engineer jobs in Miramar, FL? For Founding Machine Learning Engineer jobs in Miramar, FL, the most frequently searched job titles are:
What job categories do people searching Founding Machine Learning Engineer jobs in Miramar, FL look for? The top searched job categories for Founding Machine Learning Engineer jobs in Miramar, FL are:
What cities near Miramar, FL are hiring for Founding Machine Learning Engineer jobs? Cities near Miramar, FL with the most Founding Machine Learning Engineer job openings:
Founding Machine Learning Engineer jobs near you

Machine Learning Engineer

Opendoor

Miami, FL • On-site

Full-time

Posted 17 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