2

Remote Senior Machine Learning Engineer Jobs in Palm Bay, FL

Principal, Data Engineer

Melbourne, FL · On-site +1

$153K - $284K/yr

Melbourne, FL; or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... or in a senior data engineering role, ideally supporting enterprise-scale data and analytics ...

Outcome Learning: Results-focused learning that strengthens individual and organizational capacity ... Engineering efforts for the firm. The ED shall directly contribute to the Firm and its success ...

Outcome Learning: Results-focused learning that strengthens individual and organizational capacity ... Engineering efforts for the firm. The ED shall directly contribute to the Firm and its success ...

Outcome Learning: Results-focused learning that strengthens individual and organizational capacity ... Engineering efforts for the firm. The ED shall directly contribute to the Firm and its success ...

Lead, Creative Services

Melbourne, FL · On-site +1

$100K - $186K/yr

Rochester, NY; or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... Translate technical and engineering subject matter into accurate, accessible visual stories ...

Showing results 41-50

Remote Senior Machine Learning Engineer information

See Palm Bay, FL salary details

$64.5K

$122.4K

$164K

How much do remote senior machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote senior machine learning engineer in Palm Bay, FL is $122,412.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,600.00 and $138,000.00 per year, depending on experience, location, and employer.

What does a remote senior machine learning engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.

How do remote senior machine learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

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

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

What is the difference between Remote Senior Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

What are popular job titles related to Remote Senior Machine Learning Engineer jobs in Palm Bay, FL?

For Remote Senior Machine Learning Engineer jobs in Palm Bay, FL, the most frequently searched job titles are:

What cities near Palm Bay, FL are hiring for Remote Senior Machine Learning Engineer jobs?

Cities near Palm Bay, FL with the most Remote Senior Machine Learning Engineer job openings:

Sr. Counsel, Datacenter Development & Infrastructure

SpaceX

Cape Canaveral, FL • On-site, Remote

$92K - $125K/yr

Full-time

Re-posted 5 days ago


SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 148 frontline employees who took The Breakroom Quiz

17th of 72 rated aerospace companies


Job description

SR. COUNSEL, DATACENTER DEVELOPMENT & INFRASTRUCTURE

RESPONSIBILITIES:

  • Provide expert legal guidance on matters related to developing large-scale datacenter infrastructure and supporting utilities - acquisition and development of land, construction of datacenters and associated facilities, on-site power generation (including gas turbines and backup systems), electrical transmission and distribution infrastructure, gas pipelines and fuel supply systems, water supply and wastewater treatment (especially for high-density cooling), communications/fiber infrastructure, transportation access, and worker accommodations. This role also supports spaceport and other advanced critical infrastructure development projects as needed.
  • Draft and negotiate land purchases, easements (including power line, gas pipeline, and utility rights-of-way), rights-of-way, leases, power purchase agreements (PPAs), interconnection agreements, fuel supply contracts, pipeline capacity agreements, and other real estate and commercial transaction documents required to bring datacenter and infrastructure projects fully online.
  • Advise on municipal, county, State, and Federal requirements related to zoning, building and construction permitting, environmental reviews, power generation and utility interconnections, gas pipeline development and safety, water rights and wastewater treatment, air permitting for turbines/generation, and related infrastructure for datacenters and large industrial projects.
  • Collaborate with internal stakeholders to brief county, State, and Federal regulators on applicable matters, including public utility commissions, environmental agencies, pipeline safety regulators, and permitting authorities.
  • Negotiate complex construction contracts, engineering-procurement-construction (EPC) agreements, vendor and supply contracts related to datacenter buildout, power generation facilities (turbines, substations, switchgear), utility infrastructure (gas pipelines, high-voltage power lines, water systems), fuel procurement and delivery, and spaceport development.

BASIC QUALIFICATIONS:

  • JD or foreign equivalent from an ABA-accredited law school.
  • Active licensed attorney.
  • 7+ years of legal experience.

PREFERRED SKILLS AND EXPERIENCE:

  • 7+ years of experience with real estate, land use, and/or large-scale power and utility infrastructure development issues, preferably including hyperscale datacenter or major industrial project development.
  • Knowledge and/or experience with natural gas project development, power generation contracts and operations (including on-site turbine generation), gas pipeline and fuel supply agreements, power purchase agreements (PPAs), utility interconnection processes, transmission planning, and mineral rights or surface use agreements.
  • Familiarity with Florida regulatory environment, including Public Utility Commission requirements, Florida Department of Environmental Protection rules for oil and gas operations, and air/water permitting for power generation facilities is highly desirable.

ADDITIONAL REQUIREMENTS

  • Must be admitted to the bar, in good standing, in at least one U.S. state.
  • Willingness to travel occasionally to project sites and different offices for a week at a time.
  • Must be willing to work extended hours and/or weekends as needed.
  • This position is based in Cape Canaveral, FL and requires being onsite - remote work not considered.

What SpaceX employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


SpaceX logo

About SpaceX

Sourced by ZipRecruiter

Industry

Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications

Company size

1,001 - 5,000 Employees

Headquarters location

Hawthorne, CA, US