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Hire Train Deploy Developer Jobs (NOW HIRING)

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

... research, prototype, train, deploy, and iterate rapidly. * Build multimodal ML systems for ... Opportunity to be an early ML hire in a strong engineering-first culture. * High autonomy and ...

Runpod is the AI Developer Cloud, used by more than 500,000 developers to build, train, deploy, and serve AI workloads. We are a remote-first company operating at the intersection of developer ...

... deploy, and manage bespoke client solutions with speed and confidence. By creating a robust ... We hire people who think in solutions, communicate with clarity, and follow through. People who are ...

This role will work hands-on with advanced LLMs and modern ML frameworks to design, train, deploy ... Data Engineering & Feature Development * Collect, clean, and analyze structured and unstructured ...

Forward Deployed Engineer

New York, NY · On-site

$165K - $235K/yr

Alternatively, you've been an early technical hire (FDE, solutions engineer, or similar) at a high-growth SaaS company and successfully partnered with large enterprise customers to deploy technical ...

Account Solution Architect

Sunnyvale, CA · On-site

$73.50 - $96.75/hr

... Engineering to deliver technical success across the full customer lifecycle. • Work hands-on with advanced AI teams to build, train, deploy, and scale workflows. • Help customers solve real-world ...

Account Solution Architect

San Francisco, CA · On-site

$74.25 - $97.75/hr

... Engineering to deliver technical success across the full customer lifecycle. • Work hands-on with advanced AI teams as they build, train, deploy, and scale their workflows. • Help customers solve ...

$100K - $200K/yr

It's easy to use, quick to deploy, and trusted by enterprises like DigitalOcean, Instacart, Ramp ... Hire and onboard new Forward Deployed Engineers, establishing a strong team culture of ownership ...

Senior AI Engineer

Los Altos, CA · On-site +1

$123K - $169K/yr

The Role As a Senior AI Agent Engineer, you'll be at the center of how we build, train, deploy, and operate character AI agents at scale. You'll work across the full lifecycle - from fine-tuning ...

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Hire Train Deploy Developer information

See salary details

$11K

$88.2K

$135.5K

How much do hire train deploy developer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for hire train deploy developer in the United States is $88,166.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,000.00 and $120,000.00 per year, depending on experience, location, and employer.

What is the difference between Hire Train Deploy Developer vs Software Developer?

AspectHire Train Deploy DeveloperSoftware Developer
CredentialsTypically requires basic programming knowledge, often with certifications in specific technologiesUsually holds a degree in Computer Science or related field, with strong coding skills
Work EnvironmentOften in client sites or training centers, focusing on skill development and deploymentPrimarily in office or remote settings, developing software solutions
Employer & Industry UsageUsed by staffing agencies and companies for rapid deployment of trained developersHired directly by companies for ongoing software development projects

In summary, a Hire Train Deploy Developer is trained and prepared for immediate deployment in specific projects, often with a focus on skill readiness, while a Software Developer typically has a broader, formal education background and works on developing software solutions over longer periods.

What are Hire Train Deploy Developers?

Hire Train Deploy Developers are professionals who are recruited and trained by specialized companies to meet specific client requirements before being placed on client projects. This model allows organizations to quickly fill skill gaps with candidates who have received tailored technical and soft skills training. The process ensures that developers are ready to contribute effectively from day one, reducing onboarding time and increasing project success rates.

What can I expect from the training phase as a Hire Train Deploy Developer, and how does it prepare me for client projects?

As a Hire Train Deploy Developer, the training phase is an intensive period where you’ll gain hands-on experience with the technologies and methodologies commonly used by client organizations. This training is designed to bridge any skill gaps, ensuring you're well-versed in relevant frameworks, tools, and best practices. You’ll often work on simulated client scenarios and collaborate with other trainees, fostering teamwork and communication skills that are vital on real projects. This approach not only boosts your technical proficiency but also acclimates you to the types of challenges and workflows you’ll encounter once deployed to a client site.

What are the key skills and qualifications needed to thrive as a Hire Train Deploy Developer, and why are they important?

To thrive as a Hire Train Deploy Developer, you need a strong grasp of programming fundamentals, problem-solving abilities, and typically a relevant degree or equivalent coding bootcamp experience. Familiarity with industry-standard tools such as Git, cloud platforms, and agile project management systems, as well as any required certifications, is often expected. Effective communication, adaptability, and a willingness to learn are crucial soft skills, especially when transitioning between client projects or technologies. These skills ensure that you can quickly integrate into client teams, deliver value, and continuously upskill in a dynamic deployment model.
More about Hire Train Deploy Developer jobs
What cities are hiring for Hire Train Deploy Developer jobs? Cities with the most Hire Train Deploy Developer job openings:
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What job categories do people searching Hire Train Deploy Developer jobs look for? The top searched job categories for Hire Train Deploy Developer jobs are:
Infographic showing various Hire Train Deploy Developer job openings in the United States as of May 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $88,166 per year, or $42.4 per hour.
Staff Reinforcement Learning Engineer - Whole Body Control

Staff Reinforcement Learning Engineer - Whole Body Control

Figure

San Jose, CA • Hybrid

$200K - $300K/yr

Other

Medical

Posted 10 hours ago


Job description

Staff Reinforcement Learning Engineer – Whole Body Control

Figure is an AI Robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. We are based in North San Jose, CA and require 5 days/week in-office collaboration. It's time to build.

We are looking for a Staff Reinforcement Learning Engineer to develop, train, deploy, and evaluate advanced reinforcement learning algorithms for whole body control of our humanoid robot.

Key Responsibilities:

  • Develop, train, and deploy reinforcement learning algorithms for whole body control
  • Determine the observations, actions, and model types that unlock maximum performance
  • Identify and close the most important sim-to-real gaps
  • Define, test, and evaluate performance metrics for learned policies
  • Harden the control stack to ensure rock solid robustness

Requirements:

  • Strong background in dynamics and control, ideally of legged robots
  • Experience with reinforcement learning algorithms for robotics: PPO, SAC, etc
  • Experience tuning hyperparameters and cost functions for these RL algorithms
  • Familiarity with common RL techniques such as: domain randomization, curriculum learning, reward shaping, etc.
  • Capable of leading complex controls projects and mentoring junior engineers

Bonus Qualifications:

  • Experience with behavior cloning techniques (e.g. distillation)

The US base salary range for this full-time position is between $200,000 and $300,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.