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Remote Machine Learning Software Engineer Jobs in Kansas

StackAdapt is a Remote First company, we are open to candidates located anywhere in Canada or the ... What you'll bring to the table: * 5+ years of experience as a Backend Software Engineer, with ...

Software Tutor

Overland Park, KS · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of software development methodologies, programming languages, version control ...

Software Tutor

Wichita, KS · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of software development methodologies, programming languages, version control ...

$100K - $500K/yr

As the RISC-V software release and packaging engineer you will be responsible for building ... This role is remote or hybrid in the North America or Australia. We welcome candidates at various ...

$98K - $113K/yr

Apply the latest techniques in data analytics, machine learning, and advanced visualization to ... Remote work considered for the right candidate Why EPRI Applications? * Take on senior-level ...

Python Tutor

Overland Park, KS · Remote

$18 - $40/hr

... Python to machine learning, web scraping, scientific computing, and DevOps applications ... data science, software development, or academic computing work. * Effective Teaching Methods:

Python Tutor

Wichita, KS · Remote

$18 - $40/hr

... Python to machine learning, web scraping, scientific computing, and DevOps applications ... data science, software development, or academic computing work. * Effective Teaching Methods:

C061 - NC Programmer

Wichita, KS · Remote

$23.75 - $32.50/hr

This role involves creating machine tool paths based on engineering specifications and CAD models ... Expertise in using CAD/CAM software such as Mastercam, CATIA, NX, or similar platforms to develop ...

You want regular opportunities for learning and growth. With ongoing feedback from leadership, you ... A hands-on engineer who loves solving tough problems through code and building systems that scale.

Engineering Intern

Kansas City, KS · On-site +1

$25/hr

... remote or in office in Lawrence, KS. The program includes a balance between on-the-job learning ... Interns will have the opportunity to have hands-on experience within our software development ...

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Showing results 1-20

Remote Machine Learning Software Engineer information

What engineers make $300,000 a year?

Senior machine learning software engineers with extensive experience, advanced skills in deep learning, and proficiency in tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-demand industries or companies. Achieving this salary often requires a strong educational background, specialized certifications, and a track record of successful projects or leadership roles.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and while AI automation tools can handle certain tasks, MLEs are essential for creating complex, customized solutions and maintaining AI systems. The role is expected to evolve with advancements in AI, but human expertise remains critical for innovation and ethical considerations.

What engineer makes $500,000 a year?

Senior machine learning software engineers with extensive experience, specialized skills, and advanced knowledge of AI frameworks can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise in developing complex models and deploying scalable AI solutions.

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

AspectRemote Machine Learning Software EngineerRemote Data Scientist
Required CredentialsBachelor's or higher in CS, ML, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDeveloping ML models, coding, deploying algorithmsAnalyzing data, building models, interpreting results
Industry UsageTech, finance, healthcare, e-commerceTech, finance, healthcare, research institutions

While both roles involve working with data and algorithms, Remote Machine Learning Software Engineers focus on developing and deploying machine learning models through coding, whereas Remote Data Scientists analyze data to extract insights and build statistical models. Both roles often collaborate but serve different primary functions within organizations.

Can ML engineers work remotely?

Yes, remote work is common for machine learning engineers, especially as many companies adopt flexible work arrangements. ML engineers often collaborate using cloud platforms, version control, and communication tools, making remote work feasible with the right skills and environment.
What are popular job titles related to Remote Machine Learning Software Engineer jobs in Kansas? For Remote Machine Learning Software Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Software Engineer jobs in Kansas look for? The top searched job categories for Remote Machine Learning Software Engineer jobs in Kansas are:
What cities in Kansas are hiring for Remote Machine Learning Software Engineer jobs? Cities in Kansas with the most Remote Machine Learning Software Engineer job openings:

Senior/Staff Backend Software Engineer, Mobile App User Acquisition

StackAdapt

Remote

Other

Re-posted 3 days ago


Job description

In addition, StackAdapt is recognized as a leading programmatic advertising platform for helping brands and agencies accelerate user acquisition with cutting-edge technology that processes billions of ad requests and several terabytes of data daily. Ranked #1 by G2 Crowd for programmatic advertising performance and recognized as one of the fastest growing companies in Canada and North America, our real-time bidding (RTB) systems handle over 3 million requests per second, pushing the boundaries of data engineering and large-scale distributed systems.
 
The Team: Mobile App User Acquisition
Our Mobile App User Acquisition team focuses on designing and building the backend services and pipelines that power high-performance, real-time advertising for mobile app campaigns. We develop and optimize the systems that ensure mobile marketers can effectively reach and engage new users at scale, leveraging advanced algorithms, robust data infrastructure, and real-time decisioning.
 
Watch our talk at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU
 
StackAdapt is a Remote First company, we are open to candidates located anywhere in Canada or the United States for this position.
What you'll be doing:
  • Design & Build: Develop high-performance, data-intensive microservices (primarily in Go) that drive real-time bidding and user acquisition outcomes for mobile apps.
  • Scale Systems: Architect and maintain event-driven data pipelines that process billions of mobile signals daily, ensuring low-latency and highly available services.
  • Optimize User Acquisition: Collaborate with data scientists and product teams to integrate ML models and sophisticated targeting logic into the bidding process to achieve optimal campaign performance.
  • Leverage Modern Technologies: Work with our evolving stack, including Go, Ruby on Rails, Aerospike, Redis, Elasticsearch, Kafka, Redshift, ScyllaDB, GraphQL, and other emerging technologies.
  • Ensure Efficiency: Write performance-efficient, memory-optimized code and continually refine services for reliability, scalability, and speed.
  • Data-Driven Insights: Partner with analytics and data engineering to build and optimize reporting systems that surface actionable insights for our clients' user acquisition campaigns.
What you'll bring to the table:
  • 5+ years of experience as a Backend Software Engineer, with exposure to large-scale distributed systems and data pipelines in a mobile user acquisition environment.
  • Strong Problem-Solving: Demonstrated expertise in algorithms, data structures, and complex system design-comfortable tackling low-latency, high-throughput challenges.
  • Database Mastery: Experience working with both relational and NoSQL databases (e.g., Aerospike, Redis, ScyllaDB) for storing and retrieving large volumes of data.
  • Microservices & Messaging: Hands-on experience with building microservices and using message queues (Kafka, SQS, Kinesis) to handle massive event streams in real time.
  • Performance Focus: Proven track record of writing highly optimized, scalable code in Go or similar languages.
  • Team Player: Excellent communication skills and ability to collaborate in a cross-functional, globally distributed environment.