ZipRecruiter

Log In

1

Senior Machine Learning Software Engineer Jobs in Nevada

Bespoke Labs

Machine Learning Engineer

Sparks, NV · 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 ...

Bespoke Labs

Machine Learning Engineer

Carson City, NV · 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 ...

Bespoke Labs

Machine Learning Engineer

Henderson, NV · 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 ...

Bespoke Labs

Machine Learning Engineer

Henderson, NV

* 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 ...

Bespoke Labs

Machine Learning Engineer

Las Vegas, NV

* 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 ...

Redwood Materials

Senior Software Engineer

Mccarran, NV · On-site

$125K - $165K/yr

Senior Software Engineer We're replacing our legacy Oracle ERP and WMS with custom systems at North America's largest battery recycler. You'll be one of the engineers building warehouse management ...

Varsity Tutors

Machine Learning Tutor

Las Vegas, NV · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

North Las Vegas, NV · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Reno, NV · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Henderson, NV · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Pwc

AI Engineer

Las Vegas, NV · On-site

$50K - $112K/yr

... engineering to build and deploy ... software and platform systems that create Artificial Intelligence and Machine Learning-based ...

Redapt

Senior Software Engineer

Las Vegas, NV · On-site +1

$150K - $170K/yr

Senior Software Engineer Redapt Inc. is a pioneering world-class data center infrastructure integrator, technology engineering firm, and cloud services provider. Our teams focus on delivering ...

Tillster

Senior Software Engineer - Back End

Las Vegas, NV · On-site

$150K - $165K/yr

... machines) up to the high-level PayTerminal API. * Work directly with serial (RS-232 / USB-serial ... Education, Learning & Development: We offer college tuition and education assistance programs;

previous page

Showing results 41-60

All JobsMachine Learning Software Engineer JobsSenior Machine Learning Software Engineer JobsSenior Machine Learning Software Engineer Jobs in Nevada

Senior Machine Learning Software Engineer information

What is a senior machine learning software engineer?

A Senior Machine Learning Software Engineer is an experienced professional who designs, develops, and deploys machine learning models and systems to solve complex problems. They work closely with data scientists, engineers, and other stakeholders to build scalable and efficient solutions that leverage large data sets and advanced algorithms. Their responsibilities often include architecting ML pipelines, optimizing model performance, and mentoring junior team members. Typically, they have a strong background in computer science, programming, and applied mathematics, along with several years of hands-on experience in machine learning and software engineering.

What are some common challenges senior machine learning software engineers face when deploying models to production?

Senior Machine Learning Software Engineers often encounter challenges such as ensuring model scalability, maintaining performance under real-world data conditions, and integrating models seamlessly with existing systems. Handling data drift and monitoring model predictions for accuracy over time are also critical responsibilities. Collaboration with data engineers, DevOps, and product teams is essential to address these challenges and ensure robust, reliable deployments.

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

A Senior Machine Learning Software Engineer requires deep expertise in machine learning algorithms, statistical analysis, and strong programming skills in languages like Python or Java, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, as well as experience with cloud platforms and version control systems, is standard. Exceptional problem-solving, leadership, and communication skills help drive project success and mentor junior engineers. These competencies are crucial for designing scalable ML solutions, ensuring code quality, and effectively collaborating within cross-functional teams.

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

AspectSenior Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related; experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, integrates algorithms into products, collaborates with engineering teamsAnalyzes data, builds statistical models, visualizes insights, collaborates with business teams
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, healthcare

While both roles involve working with data and algorithms, Senior Machine Learning Software Engineers focus on developing and deploying scalable ML models within software systems, whereas Data Scientists primarily analyze data to generate insights and inform business decisions.

What are the most commonly searched types of Machine Learning Software Engineer jobs in Nevada?

The most popular types of Machine Learning Software Engineer jobs in Nevada are:

What are popular job titles related to Senior Machine Learning Software Engineer jobs in Nevada?

For Senior Machine Learning Software Engineer jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Senior Machine Learning Software Engineer jobs in Nevada look for?

The top searched job categories for Senior Machine Learning Software Engineer jobs in Nevada are:

What cities in Nevada are hiring for Senior Machine Learning Software Engineer jobs?

Cities in Nevada with the most Senior Machine Learning Software Engineer job openings:

Senior Machine Learning Software Engineer jobs near you

Machine Learning Engineer

Sparks, NV • On-site

Bespoke Labs
See more jobs at Bespoke Labsexternal

Full-time

Re-posted 24 days ago

Job description

  • 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, data curation, reward model serving, and experiment orchestration

  • Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues

  • Build evaluation harnesses and benchmark infrastructure, with held-out sets and contamination controls, so results are trustworthy

  • Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams

  • Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics

  • Implement methods from recent ML papers quickly and turn them into production-grade systems

Apply