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Salaried Leetcode Jobs (NOW HIRING)

Ford Motor Company

Cell Test Engineer

Long Beach, CA · Hybrid

$135K - $226K/yr

... Proficiency in Python (Leetcode Python Problems Easy Level) or other programming languages ... This position is a salary grade 8 and ranges from $135,420-226,980. Final determination of salary ...

CommodityAI

AI Forward Deployed Engineer

San Francisco, CA · On-site

$150K - $250K/yr

Base salary: $150K-$250K * Equity: 0.25%-0.75% * Visa sponsorship: Not available for this role ... No AI assistance is allowed; the focus is practical engineering judgment rather than LeetCode-style ...

HealthLeap

Full Stack Engineer

San Francisco, CA · On-site

$175K - $275K/yr

No leetcode, no algorithm puzzles. You use every tool you'd normally work with, AI included ... Salary: $175,000 - $275,000 base * Equity: Meaningful ownership in an early-stage company * Heal ...

CommodityAI

AI Forward Deployed Engineer

San Francisco, CA · On-site

$150K - $250K/yr

Base salary: $150K-$250K * Equity: 0.25%-0.75% * Visa sponsorship: Not available for this role ... No AI assistance is allowed; the focus is practical engineering judgment rather than LeetCode-style ...

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Salaried Leetcode information

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$48.5K

$128.9K

$222K

How much do salaried leetcode jobs pay per year?

As of Sep 12, 2026, the average yearly pay for salaried leetcode in the United States is $128,897.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $192,000.00 per year, depending on experience, location, and employer.

What is a salaried leetcode?

Salaried Leetcode jobs refer to positions where individuals are paid to solve coding problems, often similar to those found on platforms like LeetCode. These roles are uncommon and not formal job titles in the tech industry. Sometimes, the term is used humorously to describe people who spend a lot of time practicing coding interview questions as part of their paid employment, such as software engineers preparing for technical interviews. In reality, most software engineering roles involve building and maintaining real-world applications, not just solving algorithm problems. It's important to distinguish between practicing LeetCode for interviews and the actual work done in a salaried software engineering job.

What are the key skills and qualifications needed to thrive as a software engineer?

To thrive as a Software Engineer, you need strong programming skills, a solid understanding of algorithms and data structures, and typically a degree in computer science or related fields. Familiarity with coding platforms like LeetCode, version control systems such as Git, and relevant certifications (e.g., AWS Certified Developer) are often valuable. Problem-solving ability, attention to detail, and effective communication are essential soft skills for collaborating with teams and tackling complex projects. These skills ensure efficient software development, robust code quality, and successful project outcomes in a competitive tech environment.

What are the common challenges faced by professionals solving algorithmic problems?

Professionals dedicated to solving algorithmic problems often encounter challenges such as maintaining motivation and focus during repetitive tasks, staying updated with evolving problem patterns, and effectively managing time to solve numerous problems efficiently. Additionally, collaboration with other team members may be limited, making it important to find ways to share knowledge and learn from peers. Balancing deep problem-solving concentration with the need to communicate insights and contribute to team goals is also a common aspect of this role.

What is the difference between Salaried Leetcode vs Software Engineer?

AspectSalaried LeetcodeSoftware Engineer
Required CredentialsBachelor's degree in CS or related field, coding skillsBachelor's or higher in CS or related field, coding skills
Work EnvironmentTech companies, startups, remote or onsiteTech companies, startups, corporate offices
Industry UsageCommon in coding interview prep and tech hiringCore role in software development teams
Search & Comparison IntentUnderstanding coding interview prep vs actual job roleClarifying job responsibilities and requirements

While Salaried Leetcode focuses on coding interview preparation, Software Engineer roles involve applying those skills in real-world projects within tech companies. Both require strong coding abilities and relevant credentials, but Salaried Leetcode is more about practice and assessment, whereas Software Engineer positions involve ongoing development work.

More about Salaried Leetcode jobs

What cities are hiring for Salaried Leetcode jobs?

Cities with the most Salaried Leetcode job openings:

What are the most commonly searched types of Leetcode jobs?

The most popular types of Leetcode jobs are:

What states have the most Salaried Leetcode jobs?

States with the most job openings for Salaried Leetcode jobs include:

What job categories do people searching Salaried Leetcode jobs look for?

The top searched job categories for Salaried Leetcode jobs are:

Salaried Leetcode jobs near you
Infographic showing various Salaried Leetcode job openings in the United States as of September 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $128,897 per year, or $62 per hour.

Research Scientist, Safety Post Training

San Francisco, CA • On-site

Scale AI, Inc.
Software Development • 201 - 500 employees
Learn more about Scale AI, Inc.external

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Key responsibilities

  • Develop and apply post-training methods and interpretability techniques to improve the safety and understanding of frontier AI systems.

  • Design and run post-training pipelines to study how training choices impact model safety, robustness, and alignment properties.

  • Collaborate with policymakers, engineers, and researchers to translate research findings into safety standards, evaluation benchmarks, and best practices.

Scale AI rating

8.5

Company rating: 8.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

Job description

Scale Labs, Research Scientist - Safety Post Training

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities.

Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision.

As a Research Scientist working on Safety Post-Training you will develop and apply post-training methods and interpretability techniques to make frontier AI systems safer, and better understood by researchers and policymakers.. For example, you might:

  • Design and run post-training pipelines to study how training choices affect model safety, robustness, and alignment properties;
  • Develop interpretability-informed evaluations that reveal how and why models produce unsafe, deceptive, or otherwise undesirable behaviors, and use those insights to guide targeted mitigations;
  • Collaborate with policymakers, engineers, and other researchers to translate post-training and interpretability findings into actionable safety standards, evaluation benchmarks, and best practices.

Ideally you'd have:

  • Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance.
  • Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches.
  • A track record of published research in machine learning, particularly in generative AI.
  • At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development.
  • Strong written and verbal communication skills to operate in a cross-functional team.

Nice to have:

  • Experience with mechanistic interpretability, probing, or other techniques for understanding model internals.
  • Familiarity with red-teaming or adversarial evaluation of post-trained models.
  • Experience studying failure modes introduced or masked by post-training, such as reward hacking, sycophancy, or alignment faking.
Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We will not ask any LeetCode-style questions. If you're excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn't perfectly align with every requirement.

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:
$216,000—$270,000 USD

PLEASE NOTE: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.

About Us:

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.

PLEASE NOTE: 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.

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