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Remote Machine Learning Postdoc Jobs in Miami, FL

Remote work opportunities from Europe / US * The company has prominent clients with an opportunity for you to work on different projects and/or to be involved in developing our proprietary products

We're looking for a Generative AI & Machine Learning Engineer who thrives at the intersection of ... Flexible remote work options * Open door policy to CEO and all Leadership team * One-on-one ...

New

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

Remote Supervision Coordinator

Miami, FL · On-site +1

$55K - $64K/yr

We are solving real-world problems leveraging robotics, machine learning and computer vision, among ... JOB OVERVIEW The Remote Supervision Coordinator monitors and supports Serve's autonomous delivery ...

Support annotation of datasets and development of machine learning models, including training and ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

Support annotation of datasets and development of machine learning models, including training and ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

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Remote Machine Learning Postdoc information

Is ML a high paying job?

Machine learning postdoctoral positions are generally well-paid compared to many academic roles, with salaries often ranging from $60,000 to over $100,000 annually depending on experience, location, and funding. These roles typically require strong programming skills in Python or R and knowledge of algorithms and data analysis, which can contribute to higher compensation levels.

Is a PhD in ML worth it?

A PhD in machine learning can enhance qualifications for a remote machine learning postdoc position, often leading to higher-level research opportunities and increased earning potential. However, it requires significant time investment and may not be necessary for industry roles that value practical skills and experience with tools like Python and TensorFlow. The decision depends on career goals and the specific requirements of the desired position.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Postdoc, and why are they important?

A Remote Machine Learning Postdoc requires a PhD in computer science, statistics, or a related field, with expertise in machine learning algorithms, statistical modeling, and research methodologies. Proficiency in programming languages like Python or R, experience with machine learning frameworks such as TensorFlow or PyTorch, and familiarity with version control systems (e.g., Git) are typically necessary. Strong written and verbal communication, self-motivation, and collaboration skills are vital for remote research and effective teamwork. These capabilities enable impactful independent research, smooth collaboration across distributed teams, and the successful dissemination of findings to the wider scientific community.

Is a postdoc harder than a PhD?

A remote machine learning postdoc typically involves more specialized research, higher expectations for independence, and often requires advanced skills in programming and data analysis. While a PhD focuses on completing a dissertation and gaining foundational expertise, a postdoc emphasizes producing publishable research and may involve longer hours and greater responsibility, making it generally more demanding in terms of research output and expertise. However, the difficulty varies based on individual experience and research environment.

What is a Remote Machine Learning Postdoc?

A Remote Machine Learning Postdoc is a postdoctoral researcher specializing in machine learning who works predominantly or entirely from a location outside their host institution, often from home. Their work involves conducting advanced research, developing new algorithms, analyzing data, and publishing findings related to machine learning while collaborating virtually with faculty and research teams. This role is ideal for researchers seeking flexibility or those who cannot relocate but wish to contribute to academic or industrial research from a distance.

Do you need H-1B for postdoc?

A remote machine learning postdoctoral position typically does not require H-1B sponsorship if the candidate is already authorized to work in the country, such as through a visa or citizenship. However, international candidates may need H-1B or other work visas depending on the employer and local immigration laws. Employers often sponsor visas for postdocs to comply with legal requirements and facilitate employment.

What are some common challenges faced by remote machine learning postdocs when collaborating with research teams?

Remote machine learning postdocs often encounter challenges related to communication and coordination, especially when working across different time zones or with teams that have varying schedules. Effective collaboration usually requires proactive communication through virtual meetings, shared code repositories, and regular progress updates. Building rapport with colleagues and staying engaged with ongoing research discussions can take extra effort remotely, but leveraging collaborative tools and participating in virtual seminars or group chats can help bridge the gap. Being organized and self-motivated is key to ensuring productive contributions to the team’s research objectives.
What are the most commonly searched types of Machine Learning Postdoc jobs in Miami, FL? The most popular types of Machine Learning Postdoc jobs in Miami, FL are:
What job categories do people searching Remote Machine Learning Postdoc jobs in Miami, FL look for? The top searched job categories for Remote Machine Learning Postdoc jobs in Miami, FL are:
What cities near Miami, FL are hiring for Remote Machine Learning Postdoc jobs? Cities near Miami, FL with the most Remote Machine Learning Postdoc job openings:

Senior Python / Machine Learning Engineer - Ft Lauderdale

FormativGroup

Fort Lauderdale, FL • On-site, Remote

$45 - $50/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago


Job description

Summary

The role of the Senior Python Engineer is to design, develop, and deploy machine learning solutions that transform data into actionable insights, while ensuring scalability, performance, and integration into production systems. This role focuses on building and operationalizing machine learning models, supporting end-to-end data workflows, and integrating AI capabilities into broader application ecosystems. The individual will work closely with engineering and data teams to deliver reliable, production-ready solutions.

Key Responsibilities

  • Develop and maintain machine learning models using Python, leveraging techniques such as regression, classification, clustering, and ensemble methods
  • Design and deploy scalable AI/ML solutions utilizing deep learning frameworks (e.g., TensorFlow, PyTorch, Keras)
  • Perform data preparation activities including cleansing, transformation, and feature engineering to support model accuracy
  • Evaluate model performance and iterate to improve reliability and predictive outcomes
  • Build and integrate RESTful APIs (e.g., Flask, FastAPI) to enable model consumption within applications
  • Collaborate with cross-functional teams to embed ML solutions into production environments

Required Qualifications

  • 6-8 + years of experience in Python-based development roles and AI/ML
  • Strong proficiency in Python and core data science libraries such as NumPy, Pandas, and Scikit-learn
  • Hands-on experience implementing machine learning and deep learning models in real-world applications
  • Solid understanding of data engineering concepts, including preprocessing, feature engineering, and model evaluation techniques
  • Experience working with SQL or NoSQL databases
  • Familiarity with version control systems (e.g., Git) and collaborative development practices

Additional / Preferred Skills

  • Experience deploying models into production environments
  • Familiarity with scalable ML pipelines and MLOps concepts
  • Exposure to cloud-based AI/ML services (AWS, Azure, GCP)

Location

  • This role is a Hybrid role that requires candidate to go onsite 3 days in office/2 days remote. Candidates are preferred in Fort Lauderdale, FL. Candidates must reside within the physical US.
  • Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa currently.
  • To be considered for this position, candidates must reside in one of the following U.S. states: FL.
  • Candidates residing outside these states are not eligible for consideration currently.
  • Not open to 3rd party/C2C engagement

We are committed to pay equity and transparency. The compensation range for this position represents our good faith estimate of the range we reasonably expect to pay for this role at the time of posting. The actual compensation offered will be determined based on factors such as the candidate's experience, skills, education, work location, and internal equity.

In addition to hourly pay, employees may be eligible for discretionary bonuses, commissions, or other incentive programs, as well as a comprehensive benefits package that includes medical, dental, vision, 401(k), paid time off, etc.

Estimated hourly Compensation Range:
$45—$50 USD

FormativGroup operates within the critical middle layer of business technology, where applications and systems connect infrastructure to business processes. We are specialists who help the middle market take full advantage of their technology investments with deep, industry-centric expertise, all in one place, to unify fragmented systems. With deep technical expertise across cloud architecture, system integration, AI, and data strategy, we bridge the gap between business goals and modern platforms.

FormativGroup is an equal opportunity employer providing opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

ADA Specifications: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.

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