We Produce
Honest Work Smart Work

Work with Us

Why should you work with us? To put it simply, Aletheia can help take your business to the next level by marrying traditional with digital media into a strategy that challenges in-the-box thinking and speaks to your target audience.

We are Agile

Our size is our strength. We are a nimble, yet powerful.

Our Intelligence

We invest heavily in technology, data, and automation tools, but our greatest resource is our people who provide the thought leadership, strategic thinking, and experience that fuel our clients’ success.

We are Transparent

We are in the service business and believe in building high-touch relationships based in truth. From reporting to billing, you see what we see.

We Have Impact

Our marketplace experience and deep relationships give us the ability to unlock powerful opportunities and scale that help our clients punch above their weight and drive real business results.

Careers

Aletheia Marketing & Media, a Dallas-based integrated marketing firm, is looking for talented, highly motivated individuals to work with our team. Exceptional candidates for these roles would exhibit qualities that align with Aletheia’s Core Values:

  1. Growth Minded – Always be learning and thinking about what’s next.
  2. Be Good People – Do unto others as you would have others do unto you.
  3. Accountable – Be accountable even when no one is looking.
  4. Integrity – Always do the right thing, which is not always popular.
  5. Transparency – Be open and honest.

Content Intelligence Manager

Who are We Looking for?

The Content Intelligence Manager is responsible for leveraging Generative AI tools and data analysis to provide clients with insightful content performance reports and audience analysis. This role involves collaborating closely with AI teams, content analysts, and client experience teams to develop strategic recommendations that enhance content effectiveness and audience engagement. The Content Intelligence Manager will play a pivotal role in implementing audience targeting models and delivering comprehensive content intelligence services to meet client objectives, with a strong focus on understanding the connection between content and audiences.

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Lead Engineer, SAAS

Who are We Looking for?

The Lead Engineer in the AI Product Development team is a senior technical position responsible for overseeing the development and optimization of our SaaS platform as well as data engineering pipelines that are integral to our SaaS platform. This role involves leading the technical design, implementation, and ongoing maintenance of our SaaS platform. This role also leads the design, implementation and ongoing maintenance of systems that process and manage large datasets, ensuring they are scalable, reliable, and performant

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AI Engineer

Who Are We Looking For?

Job Description: Build new multimodal AI solutions as API services and upgrade existing ones, collaborating with cross-functional teams to address complex computing challenges. Responsible for developing cutting-edge language solutions, applications, systems, and tools that enhance existing technology, ensuring the company remains at the forefront of industry advancements.

Research & Development: Iterate quickly to research, develop, and implement state-of-the-art techniques in Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI.

Solution Architecture & Implementation: Architect and develop AI solutions for real-world applications and platforms, including Pluralytics APIs and SaaS, leveraging complex programming and advanced problem-solving skills.

Scalability & Performance: Determine and implement the infrastructure, tools, and processes needed to effectively scale AI APIs and other AI-driven applications, ensuring high performance and reliability.

Cross-Functional Collaboration: Work with diverse teams to design and execute API solutions that utilize LLMs for text, image, and video evaluation, generation, summarization, and other tasks. Continuous Innovation: Stay current with the latest advancements in AI, machine learning, and generative models, applying new insights to enhance existing models and methodologies.

Model Enhancement & Evaluation: Enhance proprietary models for scoring and evaluating multimodal data, including text, images, and videos, ensuring coverage across diverse media formats.

Optimization & Fine-Tuning: Analyze, refine, and fine-tune model performance through experimentation, iteration, and data-driven insights. Technical Leadership: Provide leadership to foster a culture of innovation and continuous learning across the organization.

What You’ll Need to Succeed

Minimum Requirements: Masters degree in Computer Science, Mechatronics, Artificial Intelligence or related discipline, or foreign equivalent, and 3 years of experience in the job offered or in a closely related position.

Special Requirements: Experience must include 3 years of experience in the following:

  • Python, JavaScript, AWS Services, and ReactJS.
  • AI & Machine Learning Frameworks: PyTorch and/or TensorFlow for developing, fine-tuning, and deploying large language models and other generative AI applications.
  • NLP & Multimodal Analysis: Designing and implementing solutions for text, image, and/or video analysis, including tasks such as summarization, classification, content generation, and pattern detection.
  • Iterative prototyping, fine-tuning, and performance benchmarking of LLM-based or other deep learning models.
  • Docker and Kubernetes for packaging, deploying, and scaling AI services in cloud environments.
  • Distributed Systems & Architecture: Designing stateful and stateless systems for high availability, fault tolerance, and scalability.
  • DevOps & MLOps: CI/CD pipelines, version control (Git), and data processing workflows supporting rapid iteration and deployment of machine learning models.
  • SQL Databases such as PostgreSQL or MySQL, NoSQL Databases such as MongoDB, and Graph Databases such as Neo4j or AWS Neptune
  • Designing architectures for high-traffic AI services, including multimodal data processing APIs

Location: Fully remote position from anywhere in the US.

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