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Sota Jobs (NOW HIRING)

Eng Prin - Sys

Totowa, NJ · On-site

$128.83K - $219.01K/yr

Work with Security State of the Art (S-SOTA) technologies * Provide our customers with sophisticated, defense-in-depth security solution Because of the need for consistent, in-person collaboration ...

Eng Prin - Sys

Totowa, NJ · On-site

$128.83K - $219.01K/yr

Work with Security State of the Art (S-SOTA) technologies * Provide our customers with sophisticated, defense-in-depth security solutions Because of the need for consistent, in-person collaboration ...

Eng Sr Prin - Sys

Totowa, NJ · On-site

$145.05K - $246.58K/yr

Work with Security State of the Art (S-SOTA) technologies * Provide our customers with sophisticated, defense-in-depth security solutions * Lead a Team or Section Because of the need for consistent ...

Having established a robust baseline using existing SOTA architectures, we are now entering the next stage of our roadmap - institutionalizing a high-velocity "Fast-Follower" engine. This phase is ...

Lead ML Inference Engineer, Advertising

Austin, TX · On-site

$101.60K - $133.80K/yr

Lead the design and development of a SOTA Inference platform * Oversee the development of monitoring, observability, and other tooling to ensure system and model performance, reliability, and ...

Modern practice with advanced technology (iTero scanners, Nomad handheld X-ray units, Acteon intraoral cameras, and cloud-based systems like Curve Hero and SOTA Cloud) * Established patient base with ...

Modern practice with advanced technology (iTero scanners, Nomad handheld X-ray units, Acteon intraoral cameras, and cloud-based systems like Curve Hero and SOTA Cloud) * Established patient base with ...

Modern practice with advanced technology (iTero scanners, Nomad handheld X-ray units, Acteon intraoral cameras, and cloud-based systems like Curve Hero and SOTA Cloud) * Established patient base with ...

Responsibilities : • Build SOTA deep learning systems: Architect models that read, reason, and predict across vision, language, and structured data. One error costs customers millions. 90% isn't ...

Modern practice with advanced technology (iTero scanners, Nomad handheld X-ray units, Acteon intraoral cameras, and cloud-based systems like Curve Hero and SOTA Cloud) * Established patient base with ...

Train custom Gen AI models that beat SOTA and paves path for developing production models * Collaborate closely with compiler engineers, fellow Applied Scientists, Hardware Architects and product ...

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How much do sota jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for sota in the United States is $18.82, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $18.75 per hour, depending on experience, location, and employer.

What is a Sota job?

A Sota job typically refers to roles related to state-of-the-art (SOTA) technologies, research, or advancements in a particular field. It can involve working with cutting-edge artificial intelligence, machine learning models, or innovative industry solutions. These roles often require expertise in the latest developments and a strong technical or research background. Sota jobs are common in tech companies, research institutions, and academia, where innovation is a priority.

What are the key skills and qualifications needed to thrive in the Sota position, and why are they important?

To thrive as a SOTA (State Tested Nursing Assistant), you need a solid understanding of basic patient care principles, high school diploma or equivalent, and completion of an accredited nursing assistant training program. Proficiency in using electronic health record systems, mobility aids, and standard safety equipment is often required, as is a valid state certification. Attention to detail, compassion, and strong interpersonal skills help SOTAs excel when supporting both patients and healthcare teams. These competencies are crucial to deliver quality bedside care and maintain patient safety in fast-paced medical environments.

What are the most common challenges faced by SOTAs in healthcare settings?

One of the most common challenges for SOTAs is managing physically and emotionally demanding workloads, as the role often involves lifting patients, assisting with daily activities, and providing continuous care to individuals with diverse needs. Additionally, SOTAs must adapt to rapidly changing priorities while ensuring accurate documentation and compliance with safety protocols. It’s important to balance multiple responsibilities and maintain clear communication with nurses, doctors, and fellow team members throughout every shift. While the role can be demanding, it offers deeply rewarding opportunities to make a positive impact on patients’ lives and gain valuable experience in the healthcare field.
What are the most commonly searched types of Sota jobs? The most popular types of Sota jobs are:
What states have the most Sota jobs? States with the most job openings for Sota jobs include:
Infographic showing various Sota job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 95% Full Time, 2% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $39,136 per year, or $18.8 per hour.

Engineering Manager (AI Research & Model Training)

Perplexity

San Francisco, CA • On-site

$300K - $485K/yr

Full-time

Posted 26 days ago


Job description

Perplexity is seeking a Research Engineering Manager to lead the team of all-star AI researchers and engineers responsible for developing the models that drive our products. Our team has developed some of the most advanced models for agentic research, query understanding, and other domains that require accuracy and depth. As we expand our userbase and portfolio of product surfaces, our in-house models are increasingly critical to providing a premium, high-taste experience for the world's most sophisticated users.
You will dive into our rich datasets of conversational and agentic queries, leveraging cutting‑edge training techniques to scale AI model performance. Through hands-on technical and organizational leadership, you will empower your team to develop SotA models for the use cases that matter most to our business and our users.
Responsibilities
  • Lead a team of researchers and engineers focused on training SotA models for Perplexity-relevant use cases, leveraging the latest supervised and reinforcement learning techniques.
  • Drive research and engineering efforts to develop production models through advanced model training and alignment techniques, including RL, SFT, and other approaches.
  • Become deeply familiar with the team's technical stack, leading from the front through hands-on technical contributions.
  • Own the data, training, and eval pipelines required to train and continuously improve LLM models.
  • Design and iterate on model training and finetuning algorithms (e.g., preference‑based methods, reinforcement learning from human or AI feedback) through an approach that balances scientific rigor and iteration velocity.
  • Design evaluations and improve the production model training pipeline to reliably deliver models that lie on the Pareto frontier of speed and quality.
  • Work closely with engineering teams to integrate in-house models into our product and rapidly iterate based on real‑world usage.
  • Manage day‑to‑day execution, project planning, and prioritization for the model training team to hit ambitious quality and performance goals.
Qualifications
  • Proven experience with large-scale LLMs and Deep Learning systems.
  • Strong Python and PyTorch skills; versatility across languages and frameworks is a plus.
  • Experience leading or managing research or engineering teams working on large-scale AI model development, including driving complex projects from idea to production.
  • Self‑starter with a willingness to take ownership of tasks and navigate ambiguity in a fast‑moving environment.
  • Passion for tackling challenging problems in AI model quality, speed, safety, and reliability.
  • 10+ years of technical experience, with at least 2 of those years as a manager and at least 4 of those years working on large-scale AI model development.
Nice-to-have
  • PhD in Machine Learning or related areas.
  • Experience training very large Transformer-based models with techniques such as SFT, DPO, GRPO, RLHF‑style methods, or related preference‑based optimization approaches.
  • Prior experience designing evaluations and production training pipelines for large‑scale models in a high‑growth environment.