ML Engineer

The Cortex team is the core A.I. platform powering the vision of delivering the worlds best intelligent personal assistants to Clientss customers accessible via natural voice commands text messages rich UI interactions and a mix of all of the above via multi-modal experiences.
We believe conversations are a natural and powerful user interface for interacting with technology and enable a richer customer experiences -- both online and in-store. We are building and designing the next generation of Natural Language Understanding (NLU) services that other teams can easily integrate and leverage and build rich
experiences: from pure voice and text shopping assistants (Siri Google Assistant Text to Shop) to customer care channels to mobile apps with rich intertwined multi-modal interaction modes


Interested in diving in
We need solid prompt engineers with the talent and expertise required to design evaluate improve and evolve our capabilities in at least some of the following areas:
- Developing testing and refining prompts for various applications
including text generation question answering data classification
and synthetic training data generation.
- Develop and maintain principled regression test suites in order to
adequately measure and ensure prompt compliance at scale for
mission critical applications.
- Analyze and iterate on prompts over time based on performance
metrics user feedback and new product requirements.
- Collaborating with legal product and data science teams to align
prompts with overall company goals and compliance.
- Seamlessly navigate prompt characteristics of multiple model
architectures (GPT Llama Gemini our own fine-tuned LLMs) and
versions (e.g. Llama2 vs. Llama 3).
- Creatively attack your own prompts to assess safety exposure and
strengthen their compliance characteristics.
- Continued research and education on the ever-changing AI field and
emerging properties of large models.

Come at the right time and you will have an enormous opportunity to make a massive impact on the design architecture and implementation of an innovative mission critical product used every day by people you know and which customers love.

Minimum Qualifications
- Solid data skills sound computer-science fundamentals and strong
programming experience.
- Programming experience in Python
- Experience with at least one relational database technology such as
MySQL PostgreSQL Oracle or MS SQL.
- Deep hands-on technical expertise in development preferably
full-stack.
- Good data-processing and testing fundamentals. Principled approach
to system updates and prompt compliance evaluation.
- Ability to take a project from scoping requirements through actual
launch.
- Deal well with ambiguous/undefined problems;
- A continuous drive to explore improve enhance automate and
optimize systems and tools.
- Capacity to apply scientific analysis and mathematical modeling
techniques to predict measure and evaluate the consequences of
designs and the ongoing success of our platform.
- Excellent oral and written communication skills.
- Bachelors degree or certification in Computer Science Engineering
Mathematics or any other related field.

Preferred Qualifications
- Proficient in multiple models and AI-related tools.
- Exposure to cloud infrastructure such as Open Stack Azure GCP or
AWS as well as infrastructure management tech (Docker Kubernetes)
- Relentless focus on scalability latency performance robustness
and cost trade-offs -- especially those present in highly
virtualized elastic cloud-based environments.
- Hands-on expertise in many disparate technologies typically ranging
from front-end user interfaces through to back-end systems and all
points in between.
- Familiarity with Machine Learning concepts & processes
- Masters or PhD in Computer Science Physics Engineering Math or
equivalent.