Overview 

The Sales Associate is a friendly, customer-focused team member who embodies the Aviator Nation lifestyle and delivers exceptional service. Thriving in a fast-paced environment, they use creative problem-solving and a growth mindset to ensure a positive customer experience. Responsibilities include welcoming and assisting customers, offering tailored product solutions, and handling customer concerns with empathy and professionalism. They stay up-to-date on products, services, and policies while maintaining a well-presented sales floor, displays, and signage.

Key Responsibilities

• Greet and assist customers, providing exceptional service and product knowledge.
• Maintain strong knowledge of products (e.g., SKUs, fit, features).
• Operate the POS system to manage sales, returns, exchanges, and balance cash drawers.
• Support and achieve sales goals through upselling, cross-selling, and promoting in-store offers.
• Guide customers to merchandise and help increase in-store sales.
• Keep the sales floor organized, clean, and well-stocked.
• Handle inventory tasks, including restocking, shipments, and inventory counts.
• Contribute to omni-channel sales and fulfillment processes.
• Assist with store social media efforts, including taking photos.
  
  

Skills & Requirements

• Availability to work a flexible retail schedule, including weekends and holidays.
• Must have a positive attitude, high energy, and a customer-focused mindset.
• Strong communication, organizational, and attention-to-detail skills.
• Ability to maintain a professional appearance and adhere to the dress code.
• Basic reading, writing, math, and computer skills.
• Confidence in using office and retail equipment (computers, phones, printers, etc.).
  
  

Physical Requirements & Working Conditions 

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. 

• Ability to kneel, bend, stoop, crouch, reach, climb, walk, and stand for long durations of time
• Ability to move and lift equipment and supplies of up to 30 pounds
• Vision abilities include close, distance, color peripheral, and depth perception
• Noise level in the work environment is moderate 

This job description is not exhaustive, and you may be required to carry out other duties as  requested. 

EEO Statement 

Aviator Nation provides equal employment opportunities to all employees and applicants for employment  and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex,  national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement,  promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. 

Salary Range – California

For individuals assigned and/or hired to work in California, Aviator Nation includes a reasonable estimate of the salary or hourly rate range for this role. This considers the wide range of factors that are considered in making compensation decisions; including but not limited to business or organizational needs, skill sets, experience and training, licensure, and certifications. In addition, where a candidate falls within the disclosed range estimate may be dependent on the applicable geographic differential associated with the location in which the position may be filled. 

A reasonable estimate of pay range is $17-21/hr.

Eligible employees may also participate in an employee benefits program as well as an incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

AMAZING BENEFITS INCLUDE BUT ARE NOT LIMITED TO:

• Medical, Dental, Vision
• Paid Time Off (PTO)
• Pet insurance
• 401K
• Employee Assistance Program (EAP)
• Monthly clothing allowance
• Generous employee discount
• Friends and family discount
• Free fitness classes at our Santa Monica RIDE studio
• Generous discount on all Dreamland events, food and beverage
• Travel opportunities for national events, festivals, and store build-outs

Job Title: Senior Applied AI/ML Scientist (Deep Learning and Generative Models)

Company Overview: Kindo is an agent automation platform for DevOps and SecOps teams. We help organizations automate high-friction operational work using autonomous agents that run in the background — reliably, securely, and at scale.

We're ~40 people with strong customer traction, real enterprise revenue, and the infrastructure to support serious AI development. This isn't a side bet on AI. It's the entire company.

At the heart of our platform is DeepHat, Kindo's uncensored cybersecurity model. Built for real offensive reasoning, long-context analysis, and secure execution, DeepHat serves as the "AI Brain" of our platform. It is trained on real-world attack patterns and high-signal security data to power precise, autonomous workflows. As a member of the DeepHat team, you will be responsible for pushing the boundaries of what specialized LLMs can achieve in the realm of digital defense.

Job Description:

We are seeking a highly experienced Senior Applied AI/ML Scientist with a specialization in deep learning and generative models to join our dynamic team. In this role, you will play a pivotal part in the architecture and implementation of our AI modeling efforts, with a specific focus on post-training and fine-tuning large language models.

While this role requires deep technical expertise, we value a collaborative environment where good ideas flourish regardless of title. You will work within a team that empowers engineers to own their stack end-to-end. The ideal candidate has strong AI/ML fundamentals and can bridge the gap between theoretical research and practical production systems. You should be comfortable working with Agentic LLM usage and modern fine-tuning approaches, ranging from Supervised Fine-Tuning to Knowledge Distillation to RL, to create robust, reliable enterprise solutions.

You will be an early engineer at a high-growth startup, playing a significant role in building and bringing a new generative AI product to market. We are looking for a systems-thinker who cares as much about model evaluation and production stability as they do about algorithmic innovation.

Responsibilities:

• Rigorous Evaluation (Evals): Architect, build, and maintain comprehensive evaluation pipelines. You believe that "you can't improve what you don't measure," and you will be responsible for creating evals that accurately reflect production performance and agentic reliability.
• Post-Training & Fine-Tuning: Apply expert knowledge of model alignment and post-training strategies to tailor our in-house LLMs for enterprise capabilities. You should be adept at selecting and implementing the right technique for the job. Whether that is Supervised Fine-Tuning (SFT), Knowledge Distillation, PEFT, or leveraging alignment methods like Reinforcement Learning from Verifiable Rewards (RLVR) when appropriate.
• Hands-on Data Engineering & Strategy: Go beyond just "using" data. You will be responsible for the end-to-end data lifecycle—sourcing, cleaning, curating, and modifying datasets to maximize model effectiveness and domain specificity.
• Training & Inference Optimization: Utilize and optimize the open-source LLM ecosystem for the full model lifecycle. You will leverage distributed training tools (e.g., Accelerate, DeepSpeed/FSDP) and high-throughput serving engines (e.g., vLLM, TensorRT-LLM) to ensure efficiency from training to production.
• End-to-End Ownership: Take a systems-level approach to AI. You will not just build models in isolation but will be responsible for the E2E lifecycle of the model, including how it integrates into production and interacts with the broader application.
• Collaboration & Mentorship: Work closely with cross-functional teams to translate product requirements into technical AI solutions. While this is an individual contributor role, you will be expected to mentor junior members, review code, and contribute to a culture where technical ideas are debated openly and constructively.

Required Qualifications:

• Education: PhD or MS in Computer Science, Machine Learning, AI, or a related field, or equivalent practical experience.
• Experience: 3-5+ years of experience in AI/ML with a strong focus on deep learning, generative models, and LLMs.
• Effective AI Collaboration: You don't just "use" AI tools (e.g. Cursor, Claude Code, Devin, etc.); you know how to effectively partner with them to drive real efficiency. You know how to thoughtfully prompt, delegate, and iterate with these AI to achieve concrete productivity gains and genuinely accelerate your development process.
• Evaluation Expertise: Demonstrated experience designing metrics and building evaluation harnesses for non-deterministic models. You understand that robust evals are the cornerstone of successful AI products.
• Fine-Tuning Expertise: Deep understanding of the post-training landscape, with practical experience in techniques such as SFT, PEFT (LoRA/QLoRA), and Knowledge Distillation.
• Applied Frameworks: Proficiency with the modern open-source LLM ecosystem. Experience with distributed training (e.g., Accelerate, FSDP, DeepSpeed) and high-level modeling libraries.
• Strong Fundamentals: Deep conceptual understanding of the mathematical and architectural underpinnings of AI/ML (gradients, attention mechanisms, loss landscapes). While we don't code in raw TensorFlow/PyTorch daily, we value the first-principles understanding that comes with knowing these layers.
• Systems Engineering: Experience with software engineering best practices and an ability to write clean, production-ready code. You should be comfortable with the "Ops" side of MLOps.
• Problem Solving: Strong critical thinking skills with a pragmatic focus on shipping solutions that work for users, not just maximizing academic benchmarks.
• Location: Hybrid Onsite in Venice, CA (2 days a week).

Preferred Qualifications:

• LLM Production Experience: Practical experience deploying and maintaining LLMs in a production environment.
• Advanced Alignment: Familiarity with emerging alignment research (e.g., DPO, RLVR) and an ability to determine when these complex methods add value over simpler baselines.
• Agentic Concepts: Strong conceptual understanding of Agentic architectures (planning, tool use, ReAct loops, etc.). 
• Enterprise Context: Knowledge of enterprise security best practices and experience with Enterprise SaaS software.
• Research Impact: A track record of staying current with arXiv papers and successfully translating a research concept into a working feature.

What We Offer:

• Competitive salary (Range: $170k-$220k Base) and Equity
• Comprehensive health, dental, and vision insurance
• Unlimited vacation and paid time off policies
• A chance to be part of a groundbreaking company shaping the future of generative AI

Company Culture:

• Start-up and entrepreneurial mindset: High-energy, passionate, and willing to put in a bit of extra energy to ensure we succeed, but mindful of work-life balance, protecting weekends, and accommodating personal obligations. Full belief in the multi-billion dollar market opportunity in front of us.
• Strong ownership culture: Complete ownership of core areas of responsibility, but also welcoming ideas and contributions from everyone. Everyone acts like product owners and contributes where they can provide value.
• Fast-paced and action-oriented: Focus on high velocity, minimal processes, and utilizing existing solutions to maximize product development and minimize maintenance overhead. Focused on outcomes over hours. We work smarter, not harder.
• Empathy, open-mindedness, and constructive feedback: Respect diverse working styles, encourage data-informed decisions, and build understanding and trust through direct conflict resolution
• Reflective thinking and effectiveness: Balance thoughtful planning and discipline with action, prioritize finding solutions that meet customer needs over being right
• Collaboration and support: Foster an environment where employees can work together, rely on each other, and support one another through challenges

If you are a passionate and talented AI researcher looking to make a meaningful impact in the generative AI space applied into end-user products, we would love to hear from you. Apply now and join our team of visionaries in creating the next unicorn company in the AI industry.