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Entry Level Machine Learning Engineer Jobs in Sarasota, FL

Varsity Tutors

Statics Tutor

Saint Petersburg, FL · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

S and B Metal Products

Metal Finisher

Bradenton, FL · On-site

$16 - $19/hr

The ideal candidate arrives for work on time and is receptive to learning. He/ she takes pride in ... We have team members with 40+ years tenure as well as multigeneration. *Entry-level position w ...

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All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Sarasota, FL

Entry Level Machine Learning Engineer information

See Sarasota, FL salary details

$28.9K

$66.8K

$113.7K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for entry level machine learning engineer in Sarasota, FL is $66,846.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,600.00 and $75,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are popular job titles related to Entry Level Machine Learning Engineer jobs in Sarasota, FL? For Entry Level Machine Learning Engineer jobs in Sarasota, FL, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Sarasota, FL look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Sarasota, FL are:
What cities near Sarasota, FL are hiring for Entry Level Machine Learning Engineer jobs? Cities near Sarasota, FL with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Sarasota, FL as of August 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 33% In-person, 34% Hybrid, and 33% Remote job distribution, with an average salary of $66,846 per year, or $32.1 per hour.

DoW SkillBridge Vulnerability Researcher (Cyber199)

Research Innovations

Saint Petersburg, FL

Full-time

Medical, Retirement, PTO

Re-posted 16 days ago

Job description

Position Title: Skillbridge Security Researcher 
Location: St. Petersburg, FL | Melbourne, FL | San Antonio, TX
Clearance Requirement: Top Secret/SCI
Research Innovations Inc. (RII) is redefining defense technology. We combine mission-driven impact with cutting-edge research and a culture that values autonomy, creativity, and technical excellence.

We are seeking security researchers to independently explore and exploit complex systems, from kernels to embedded platforms, to solve the unsolvable. This role combines deep technical problem-solving with real-world impact on defense and homeland security systems. This position is specifically for members of the DoW who are transitioning to civilian life and can take advantage of programs such as SkillBridge. Lets Get s#it done.
 
This position requires an Active US Top Secret security clearance
WHAT YOU WILL BE DOING
  • Conducting in-depth reverse engineering and vulnerability analysis across various architectures and platforms, including x86/64, ARM, PowerPC, and more
  • Researching and analyzing operating system and application internals, identifying and understanding security strengths and weaknesses of those systems
  • Developing and enhancing functionality by adding features and capabilities to undocumented interfaces
  • Modeling and analyzing in-memory compiled application behavior to identify potential vulnerabilities and improve security measures
  • Developing and understanding mobile/embedded systems and kernel modules, particularly related to vulnerability research
  • Participating actively in our extensive Vulnerability Research mentorship program, sharing knowledge and collaborating with colleagues
WHAT YOU HAVE DONE
  • Proficient understanding of wireless networking and associated security protocols, such as Wi-Fi (802.11), Bluetooth, or cellular networks (2G/3G/4G/5G). Familiarity with common vulnerabilities and attack vectors in wireless communication
  • Strong grasp of legacy exploit mitigations and bypass techniques, including but not limited to Address Space Layout Randomization (ASLR), Data Execution Prevention (DEP/NX), Stack Cookies (Canaries), and Control Flow Integrity (CFI). Experience in identifying and circumventing these security measures
  • In-depth knowledge of both security and network fundamentals, such as cryptography, authentication, access control, and network protocols (TCP/IP, UDP, DNS, HTTP, etc.). Understanding the security implications and potential vulnerabilities associated with these concepts
  • Programming experience with both scripted languages (preferably Python3) and compiled languages (preferably C). Ability to write efficient and secure code for vulnerability research and exploit development purposes
  • Familiarity with low-level architectures such as x86, ARM, or MIPS. Understanding the underlying principles, instruction sets, and memory models of these architectures for vulnerability identification and analysis
  • Experience with operating system internals and implementations, including Windows, Linux, or macOS. Knowledge of system structures, process management, memory management, and security mechanisms at the kernel level
  • Excellent oral, written, and interpersonal communication skills, with the ability to effectively convey complex technical concepts and interact with customers and team members alike
EVEN BETTER
  • Experience with vulnerability research and reverse engineering of real-time operating systems (RTOS), such as FreeRTOS, QNX, or VxWorks. Understanding the unique security challenges and attack vectors specific to RTOS environments
  • Bachelor's or postgraduate degree in Computer Science, Computer Engineering, or a related field
  • Experience with software protection and binary armoring techniques, such as anti-debugging, code obfuscation, or tamper resistance. Understanding the methods employed to protect software from reverse engineering and vulnerability discovery
  • Proficiency in agile development methodologies, including Scrum or Kanban, for efficient collaboration and iterative development in a cybersecurity context
  • Familiarity with low-level iOS/Android development and associated security considerations, such as jailbreaking or rooting, application sandboxing, or secure interprocess communication (IPC)
  • Knowledge of hypervisors and their security implications, including virtualization-based security, guest escape vulnerabilities, or hypervisor-based rootkits
  • Proficiency in malware analysis, including static and dynamic analysis techniques, behavioral analysis, and code deobfuscation. Experience in identifying and analyzing malware samples to understand their capabilities and potential vulnerabilities
  • Experience with constraint solving techniques, such as symbolic execution, theorem proving, or model checking, for vulnerability identification, verification, and exploit generation
  • Background in machine learning, particularly in the context of vulnerability analysis and detection, such as using ML techniques to identify patterns in code or analyze network traffic for anomaly detection
We work to help your intellectual passions and creativity thrive. It's one of our core values: Let your geek flag fly.
 
We also offer all employees comprehensive benefits including: flexible work schedules, health insurance coverage, paid time off, 401k with a company match, paid parental leave, access to wellness programs and much more. You get this all from day one, and all paid for by RII.
 
It's all part of another of our core values: Stay human. It's why our comfortable and colorful offices such as our headquarters, include a community game room, pantry, massage chair, and an escape room, among other amenities. It's why we have community ambassadors and regular community events.
 
Research Innovations, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, national origin, genetics, disability status, protected veteran status, age, or any other characteristic protected by state, federal or local law.
#LI-AC1
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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