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Psl Scale For Modeling Jobs (NOW HIRING)

Graph databases (Neo4j) for modeling complex relationships * Vector databases and embeddings ... Deep understanding of large-scale enterprise system design and operation * Experience modernizing ...

Graph databases (Neo4j) for modeling complex relationships * Vector databases and embeddings ... Deep understanding of large-scale enterprise system design and operation * Experience modernizing ...

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Psl Scale For Modeling information

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$11K

$105.5K

How much do psl scale for modeling jobs pay per year?

As of Jun 19, 2026, the average yearly pay for psl scale for modeling in the United States is $97,166.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $105,000.00 per year, depending on experience, location, and employer.

What does PSL mean in modeling?

In modeling, PSL often refers to 'Pounds per Square Inch Load,' a measurement used to specify the load capacity or stress limits of materials or components. For jobs involving structural or mechanical modeling, understanding PSL helps ensure designs meet safety and performance standards. Knowledge of engineering principles and relevant tools like CAD software are typically required.

What is a good PSL score?

In the context of PSL Scale for Modeling, a good PSL score typically indicates strong performance and proficiency in modeling tasks, often reflecting high accuracy and reliability. While specific benchmarks vary by organization, scores above the median or a set threshold demonstrate competence and can improve job prospects in modeling roles. Developing skills in data analysis, software tools, and understanding modeling standards can help achieve higher PSL scores.

What is the PSL score model?

The PSL score model in modeling jobs typically refers to a performance or proficiency scoring system used to evaluate a candidate's skills, accuracy, and efficiency in performing modeling tasks. It helps employers assess a candidate's suitability based on quantitative metrics, often involving software tools and technical assessments. Understanding the PSL score can aid in preparing for evaluations and improving job performance.

How to find your PSL scale?

In PSL Scale for modeling, the scale typically refers to the ratio used to represent real-world objects accurately in models. To find your PSL scale, determine the size of your model compared to the actual object, often using standard ratios like 1:12 or 1:24, and adjust based on your project requirements. Using measurement tools and understanding scale conventions helps ensure consistency across your modeling work.
Infographic showing various Psl Scale For Modeling job openings in the United States as of June 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $97,166 per year, or $46.7 per hour.
Software Engineer, Frontier AI Infrastructure

Software Engineer, Frontier AI Infrastructure

Scale AI

Manhattan, NY

Other

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


Job description

Software Engineer, Frontier AI Infrastructure

Scale AI is seeking a highly skilled and motivated Software Engineer, Frontier AI Infrastructure to join our dynamic Public Sector Engineering team. As a part of this team, you will own the model inference layer - enabling state of the art models, debugging the latest AI tools, managing networking, debugging latency, and tracking pricing/usage metrics for AI models. You will lead technical discussions on the frontlines with cloud vendors and customers to deliver on critical contracts and to debug platform issues. You will also work upstream with Product to understand features before they break, moving us from "infra-only debugging" to proactive integration testing.

You will:

  • Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure.
  • Own services or systems and define their long-term health goals, while also improving the health of surrounding components
  • Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product.
  • You will work with Product to build integration tests that catch issues early, shifting the focus from "infra-only debugging" to preventing failures upstream.
  • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
  • Contribute to the platform roadmap and product strategy for Scale AI's Public Sector business, playing a key role in shaping the future direction of our offerings.

Must have:

  • At least an active secret clearance and the ability & willingness to up level to TS/SCI with CI Poly. This is a requirement and candidates will not be considered who do not hold at least a secret clearance

Ideally you'd have:

  • Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases. Experience with developing & delivering software to air-gapped & isolated environments is a plus.
  • Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is desired. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment.
  • Security Focused: Experience with Federal Compliance frameworks, and requirements(e.g, Cloud SRG, FedRAMP, STIG Benchmarks, etc). Experience developing software & technical solutions that meet strict security & regulatory compliance requirements.
  • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles.
  • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment.
  • Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering.
  • Must be able to support work 3-4 days a week from the DC, SF, NYC, or STL office.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$184,000 - $259,440 USD

The base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:

$165,600 - $233,496 USD

The base salary range for this full-time position in the location of St. Louis is:

$138,000 - $194,580 USD

Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.