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Sota Jobs (NOW HIRING)

Roku

Lead ML Inference Engineer, Advertising

San Jose, CA

$246.50K - $486.10K/yr

About the role In this role, you will architect, design, and lead the development of a SOTA Inference platform that can handle Advertising-level low latencies, scale, throughput, and availability ...

AA2IT

Laboratory Technician - De Sota

Leavenworth, KS · On-site

$24/hr

Laboratory Technician Pay: $24/HR Location: 35500 West 91st Street, DeSoto, KS Candidate should be comfortable for an onsite interview. Recent grad with bachelor's degree and some academic expertise ...

Roku

Senior Machine Learning Engineer

San Jose, CA · On-site

$148.75K - $361K/yr

You will also work on building out a SOTA machine learning platform. We're looking for strong engineers well versed with modern large scale machine learning platforms with a solid grasp of core ...

Mem0

Senior Research Engineer

San Francisco, CA · On-site

$175K - $250K/yr

Partner with Engineering to ship : design APIs and data contracts, plan safe rollouts, and maintain SOTA latency, reliability, and cost at scale. Minimum Qualifications * Experience in RAG or ...

Roku

Senior Machine Learning Engineer

Austin, TX · On-site +1

$121.40K - $160K/yr

Building SOTA Deep learning discriminative models and build generative models to generate image and video ads geared towards optimizing performance * Building and evolving a SOTA Machine Learning ...

Roku

Senior Machine Learning Engineer

Austin, TX · On-site

$121.40K - $160.10K/yr

Building SOTA Deep learning discriminative models and build generative models to generate image and video ads geared towards optimizing performance * Building and evolving a SOTA Machine Learning ...

InfoVision, Inc.

Agentic AI Developer

Dallas, TX

SQL/Bigquery/Google Cloud Platform, Python, Prompt Engineering, Hands on experience with SOTA LLMs, Langraph/LangChain, Knowledge management using RAGs/GraphRAGs, Vector Databases * Bonus: Redis ...

BAE Systems

Eng Prin - Sys

Nashua, NH · On-site

$118.10K - $200.76K/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 ...

BAE Systems

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 ...

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How much do sota jobs pay per hour?

As of Jun 3, 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.
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Sota jobs near you

Member of Technical Staff (AI Researcher)

Perplexity

San Francisco, CA • On-site

$220K - $485K/yr

Full-time

Posted 13 days ago

Job description

Perplexity is seeking top-tier AI Research Scientists and Engineers to advance our AI products and capabilities. We're building the future of AI-powered search and agent experiences through our Sonar models, Deep Research Agent, Comet Agent, and Search products. Join us in creating SOTA experiences that handle hundreds of millions of queries and continue to scale rapidly.
Team Structure
Depending on your interests and expertise, you'll work on one of three specialized teams:
1. Core Research Team (Horizontal)
Focus on generating and improving base models that power all our products. This team works on foundational model capabilities, post-training techniques, building RL infra and infrastructure that benefits the entire organization.
2. Agent Products Team (Vertical)
Concentrate on fine-tuning and optimizing models for our Deep Research Agent and Labs/Canvas products. This team bridges research and product, ensuring our agent capabilities deliver exceptional user experiences.
3. Comet Agent Team (Vertical)
Dedicated to developing and enhancing our Comet Agent product. This specialized team focuses on the unique requirements and optimizations needed for Comet's specific use cases.
Responsibilities
Research & Development
  • Post-train SOTA LLMs using the latest supervised and reinforcement learning techniques (SFT/DPO/GRPO)
  • Leverage our rich query/answer dataset to scale model performance across Sonar, Deep Research, Comet, and Search products
  • Stay current with the latest LLM research, especially in model training, optimization, and personalization techniques
  • Implement preference optimization and personalization capabilities to enhance user experience
  • Invent in-house improvements and optimizations to enhance SOTA models
  • Turn research ideas into algorithms and run experiments to launch new models

Infrastructure & Implementation
  • Own full-stack data, training, and evaluation pipelines required for model development
  • Build robust and effective training frameworks (on top of Megatron/PyTorch) for post-training LLMs
  • Implement necessary infrastructure and components to support cutting-edge model training at scale
  • Integrate models seamlessly into our product ecosystem

Collaboration
  • Work closely with engineering teams to integrate models into Perplexity's product suite
  • Collaborate across teams to ensure cohesive AI experiences throughout our platform
  • Partner with product teams to understand user needs and translate them into model improvements

Qualifications
Required
  • Proven experience with large-scale LLMs and Deep Learning systems
  • Strong programming skills in Python/PyTorch; versatility is a plus
  • Experience with post-training techniques and reinforcement learning
  • Self-starter with a willingness to take ownership of tasks
  • Passion for tackling challenging problems
  • Minimum 2-6 years of experience on relevant projects (depending on seniority level)

Nice-to-have
  • PhD in Machine Learning, AI, Systems, or related areas
  • Experience in post-training LLMs with SFT/DPO/GRPO
  • C++/CUDA programming skills
  • Experience building LLM training frameworks
  • Academic publications and research impact
  • Experience with agent systems and multi-step reasoning
  • Background in personalization and preference learning

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