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Masters Computer Science Jobs in Miami, FL (NOW HIRING)

Microsoft

Solution Area Specialists IC4

Miami, FL · On-site

... e., MBA), Information Technology, Information Security, or related field AND 6+ years experience in technology-related sales or account management * OR Bachelor's Degree in Computer Science ...

Info Way Solutions

React Native Developer

Miami, FL · On-site

$47.75 - $62/hr

Required : • Bachelors or Masters in Computer science with 5-8 years of core Software development experience. • Experience building customizable, reusable and dynamic components in Mobile APP UI ...

Info Way Solutions

React Native Developer

Miami, FL · On-site

$47.75 - $62/hr

Required : • Bachelors or Masters in Computer science with 5-8 years of core Software development experience. • Experience building customizable, reusable and dynamic components in Mobile APP UI ...

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Showing results 21-40

All JobsMasters Computer Science JobsMasters Computer Science Jobs in Miami, FL

Masters Computer Science information

See Miami, FL salary details

$17.7K

$63.7K

$135.6K

How much do masters computer science jobs pay per year?

As of Sep 14, 2026, the average yearly pay for masters computer science in Miami, FL is $63,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,661.00 and $87,571.00 per year, depending on experience, location, and employer.

What is a masters computer science job?

A Masters Computer Science job typically requires an advanced degree in computer science or a related field, focusing on specialized areas such as artificial intelligence, data science, cybersecurity, or software development. Professionals in these roles apply their expertise in programming, algorithms, and system design to solve complex problems in industries like technology, healthcare, finance, and research. Common job titles include Software Engineer, Data Scientist, Machine Learning Engineer, and Cybersecurity Analyst. These roles often involve designing and optimizing software, analyzing large datasets, improving security measures, or developing innovative computing solutions. A master's degree can provide deeper knowledge, better job prospects, and higher salaries in the computer science field.

What types of projects or responsibilities can I expect when starting a position with a master's degree in computer science?

As a new hire holding a Master's degree in Computer Science, you can expect to work on a variety of challenging projects, such as developing software applications, optimizing algorithms, conducting data analysis, or contributing to research-driven innovation, depending on the specific employer and industry. Your responsibilities might include writing and testing code, collaborating with cross-functional teams, and presenting technical solutions. You may also be involved in system architecture design, troubleshooting technical issues, or implementing new technologies. This role often encourages continuous learning, and you'll have opportunities to expand your expertise while working alongside experienced engineers and project managers.

What are the key skills and qualifications needed to thrive in the masters computer science position, and why are they important?

To succeed with a Master's degree in Computer Science, candidates typically need strong analytical abilities, programming skills in languages such as Python, Java, or C++, and a solid understanding of data structures, algorithms, and software engineering principles. Familiarity with development tools, version control systems like Git, and possibly certifications in areas such as cloud computing or machine learning are commonly valued. Excellent problem-solving, teamwork, and effective communication skills help individuals stand out in both collaborative and independent projects. These competencies enable professionals to develop advanced technological solutions and adapt to rapidly changing industry demands.

What are the most commonly searched types of Masters Computer Science jobs in Miami, FL?

The most popular types of Masters Computer Science jobs in Miami, FL are:

What are popular job titles related to Masters Computer Science jobs in Miami, FL?

For Masters Computer Science jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Masters Computer Science jobs in Miami, FL look for?

The top searched job categories for Masters Computer Science jobs in Miami, FL are:

What cities near Miami, FL are hiring for Masters Computer Science jobs?

Cities near Miami, FL with the most Masters Computer Science job openings:

Masters Computer Science jobs near you
Infographic showing various Masters Computer Science job openings in Miami, FL as of September 2026, with employment types broken down into 61% Full Time, 26% Part Time, 8% Temporary, and 5% Contract. Highlights an 96% In-person, and 4% Hybrid job distribution, with an average salary of $63,729 per year, or $30.6 per hour.

Tech Lead, Data & Inference Engineer

Miami, FL • On-site

Catalyst Labs
See more jobs at Catalyst Labsexternal

$109K - $131K/yr

Full-time

Re-posted 22 days ago

Job description

Job Summary:
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data Science. They are seeking a Tech Lead, Data & Inference Engineer to design, develop, and scale a data platform that transforms diverse data sources into reliable business insights, while mentoring engineers and promoting best practices across the organization.
Responsibilities:
• Lead the design, development and scaling of an end to end data platform from ingestion to insights, ensuring that data is fast, reliable and ready for business use.
• Build and maintain scalable batch and streaming pipelines, transforming diverse data sources and third party application programming interfaces into trusted and low latency systems.
• Take full ownership of reliability, cost and service level objectives. This includes achieving ninety nine point nine percent uptime, maintaining minutes level latency and optimizing cost per terabyte.
• Conduct root cause analysis and provide long lasting solutions.
• Operate inference pipelines that enhance and enrich data. This includes enrichment, scoring and quality assurance using large language models and retrieval augmented generation.
• Manage version control, caching and evaluation loops.
• Work across teams to deliver data as a product through the creation of clear data contracts, ownership models, lifecycle processes and usage based decision making.
• Guide architectural decisions across the data lake and the entire pipeline stack.
• Document lineage, trade offs and reversibility while making practical decisions on whether to build internally or buy externally.
• Scale integration with application programming interfaces and internal services while ensuring data consistency, high data quality and support for both real time and batch oriented use cases.
• Mentor engineers, review code and raise the overall technical standard across teams.
• Promote data driven best practices throughout the organization.
Qualifications:
Required:
• Bachelors or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics.
• Excellent written and verbal communication; proactive and collaborative mindset.
• Comfortable in hybrid or distributed environments with strong ownership and accountability.
• A founder-level bias for actionable to identify bottlenecks, automate workflows, and iterate rapidly based on measurable outcomes.
• Demonstrated ability to teach, mentor, and document technical decisions and schemas clearly.
• 6 to 12 years of experience building and scaling production-grade data systems, with deep expertise in data architecture, modeling, and pipeline design.
• Expert SQL (query optimization on large datasets) and Python skills.
• Hands-on experience with distributed data technologies (Spark, Flink, Kafka) and modern orchestration tools (Airflow, Dagster, Prefect).
• Familiarity with dbt, DuckDB, and the modern data stack; experience with IaC, CI/CD, and observability.
• Exposure to Kubernetes and cloud infrastructure (AWS, GCP, or Azure).
Preferred:
• Strong Node.js skills for faster onboarding and system integration.
• Previous experience at a high-growth startup (10 to 200 people) or early-stage environment with a strong product mindset.
Company:
Welcome to Catalyst Labs – Powering Catalytic Growth At Catalyst Labs, catalytic growth isn't just a concept, it's our driving force. Founded in , the company is headquartered in London, GB, , with a team of 11-50 employees. The company is currently Early Stage.

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