* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Engineer - Machine Learning Software - Qualcomm
California, MO · On-site
$100 - $125/hr
In the AI Software team, we build the Qualcomm AI Engine direct to enables OEMs and developers to ... machine learning operations on Hexagon Processors Debug customer machine learning use cases ...
New
Engineer - Machine Learning Software - Qualcomm
California, MO · On-site
$100 - $125/hr
In the AI Software team, we build the Qualcomm AI Engine direct to enables OEMs and developers to ... machine learning operations on Hexagon Processors Debug customer machine learning use cases ...
New
Machine Learning Engineer
Saint Louis, MO · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Saint Louis, MO · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Kansas City, MO · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Kansas City, MO · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Springfield, MO · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Springfield, MO · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
MLE II
Saint Louis, MO · On-site
$50 - $55/hr
Collaborate with machine learning researchers, data scientists, and software engineers to productionize emerging AI capabilities. * Support model monitoring, platform reliability, and continuous ...
MLE II
Saint Louis, MO · On-site
$50 - $55/hr
Collaborate with machine learning researchers, data scientists, and software engineers to productionize emerging AI capabilities. * Support model monitoring, platform reliability, and continuous ...
Our partner is looking for a Fullstack Software Engineer - Core based in Netherlands. This role ... You will contribute to features spanning data preparation, machine learning, visualization, MLOps ...
Our partner is looking for a Fullstack Software Engineer - Core based in Netherlands. This role ... You will contribute to features spanning data preparation, machine learning, visualization, MLOps ...
Application Software Engineer Software
California, MO · On-site
$125K - $175K/yr
Application Software Engineer Collaborate with customers to tailor Sift's telemetry platform and ... Machine learning or AI applications in engineering. * Demonstrated ability to quickly learn and ...
Application Software Engineer Software
California, MO · On-site
$125K - $175K/yr
Application Software Engineer Collaborate with customers to tailor Sift's telemetry platform and ... Machine learning or AI applications in engineering. * Demonstrated ability to quickly learn and ...
Our partner is looking for a Machine Learning Engineer - AI Architecture Research based in Netherlands. This role focuses on researching and building next-generation AI model architectures that can ...
Our partner is looking for a Machine Learning Engineer - AI Architecture Research based in Netherlands. This role focuses on researching and building next-generation AI model architectures that can ...
Data Engineer (L5) - Content Machine Learning
California, MO · On-site
$170K - $720K/yr
... years of software/data engineering experience. * Comfortable with SQL and using big data ... Familiarity with machine learning libraries (TensorFlow, PyTorch, JAX, or Keras). * Experience ...
Data Engineer (L5) - Content Machine Learning
California, MO · On-site
$170K - $720K/yr
... years of software/data engineering experience. * Comfortable with SQL and using big data ... Familiarity with machine learning libraries (TensorFlow, PyTorch, JAX, or Keras). * Experience ...
HOW A MACHINE LEARNING ENGINEER WILL MAKE AN IMPACT Own your opportunity to serve as a critical component of our nation's safety and security. Make an impact by using your expertise to protect our ...
HOW A MACHINE LEARNING ENGINEER WILL MAKE AN IMPACT Own your opportunity to serve as a critical component of our nation's safety and security. Make an impact by using your expertise to protect our ...
Lead Engineer AI/ML - Onsite
Springfield, MO · On-site
$93K - $122K/yr
Strong software engineering fundamentals and ability to build maintainable ML systems beyond notebooks. * Strong understanding of the machine learning lifecycle, including data preparation, training ...
Lead Engineer AI/ML - Onsite
Springfield, MO · On-site
$93K - $122K/yr
Strong software engineering fundamentals and ability to build maintainable ML systems beyond notebooks. * Strong understanding of the machine learning lifecycle, including data preparation, training ...
Lead Engineer AI/ML - Onsite
Springfield, MO · On-site
$93K - $122K/yr
Strong software engineering fundamentals and ability to build maintainable ML systems beyond notebooks. * Strong understanding of the machine learning lifecycle, including data preparation, training ...
Lead Engineer AI/ML - Onsite
Springfield, MO · On-site
$93K - $122K/yr
Strong software engineering fundamentals and ability to build maintainable ML systems beyond notebooks. * Strong understanding of the machine learning lifecycle, including data preparation, training ...
As a Staff Machine Learning Engineer , you will play a key role in building and implementing ... Software Engineering Rigor: Strong background in Python, distributed systems, and backend ...
As a Staff Machine Learning Engineer , you will play a key role in building and implementing ... Software Engineering Rigor: Strong background in Python, distributed systems, and backend ...
Machine Learning Engineer Software Engineer information
How do machine learning engineer software engineers typically collaborate with data scientists and software development teams?
Machine Learning Engineer Software Engineers often serve as a bridge between data scientists and software development teams. They work closely with data scientists to understand and implement machine learning models, ensuring that the models are production-ready and scalable. Additionally, they collaborate with software engineers to integrate these models into existing applications, monitor their performance, and address any engineering challenges. This cross-functional collaboration is essential for delivering robust, end-to-end AI solutions that add real value to the business.
What is the difference between Machine Learning Engineer Software Engineer vs Data Scientist?
| Aspect | Machine Learning Engineer | Software Engineer |
|---|---|---|
| Required Credentials | Bachelor's/Master's in CS, specialized ML courses | Bachelor's in CS or related field |
| Work Environment | Develops ML models, algorithms, data pipelines | Builds software applications, systems, APIs |
| Industry Usage | AI/ML projects, data-driven solutions | Web, mobile, enterprise software |
Machine Learning Engineers focus on designing and deploying ML models, requiring expertise in algorithms and data handling. Software Engineers develop broader software applications, emphasizing coding and system architecture. While both roles require programming skills, ML Engineers specialize in AI/ML tasks, whereas Software Engineers work across various software domains.
What are popular job titles related to Machine Learning Engineer Software Engineer jobs in Missouri?
For Machine Learning Engineer Software Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Software Engineer jobs in Missouri look for?
The top searched job categories for Machine Learning Engineer Software Engineer jobs in Missouri are:
- Artificial Intelligence Machine Learning Engineer
- Senior Prompt Engineering
- Contractual Machine Learning Government
- Mlops Machine Learning Engineer
- Ai Ml Analyst
- Reinforcement Learning Engineer
- Senior Meta Machine Learning
- Senior Tesla Machine Learning Engineer
- Sr Machine Learning Engineer
- Freelance Google Machine Learning Engineer
What cities in Missouri are hiring for Machine Learning Engineer Software Engineer jobs?
Cities in Missouri with the most Machine Learning Engineer Software Engineer job openings:
Machine Learning Engineer
Jefferson City, MO • On-site
Bespoke Labs
Full-time
Re-posted 24 days ago
Job description
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Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch
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Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration
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Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues
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Build evaluation harnesses and benchmark infrastructure, with held-out sets and contamination controls, so results are trustworthy
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Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams
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Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics
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Implement methods from recent ML papers quickly and turn them into production-grade systems