Member of Technical Staff (Applied Research)

Job Overview:

As a Machine Learning Engineer at Contextual AI you will play a critical role in driving business value and solving real-world problems for our customers. You will be responsible for designing implementing and deploying machine learning models to address practical challenges faced by our customers. You will work closely with customers to onboard enable use-cases design templates and pipelines and help drive the adoption of Contextual AIs technology.

What Youll Do:

• Technical Leadership: Own the technical aspects of customer conversation design and lead technology evaluations and integrated state-of-the-art research with our platform.
• Machine Learning Development: Research prototype and implement state-of-the-art machine learning models and algorithms to address specific use cases and optimize performance metrics.
• Platform Integration: Integrate machine learning solutions into production systems and ensure smooth deployment and maintenance.
• Customer Engagement: Act as a trusted technical advisor and subject matter expert for our customers building relationships with technical stakeholders and guiding them through the adoption of Contextual AIs technology.
• Data Pipeline Development: Develop robust scalable and efficient pipelines for data preprocessing feature engineering model training evaluation and deployment.
• Continuous Improvement: Collect instrumentation data and analytics to understand platform usage drive insights and suggest potential improvements.
• Mentorship: Provide technical guidance and mentorship to junior team members fostering a culture of continuous learning and knowledge sharing.

What Were Seeking:

• Educational Background: Bachelors degree in computer science engineering mathematics statistics or a related field. Masters or Ph.D. preferred.
• Technical Proficiency: Proficiency in Python and experience with popular machine learning tools (e.g. PyTorch TensorFlow scikit-learn HuggingFace).
• Machine Learning Expertise: Strong understanding of machine learning deep learning (including LLMs) and natural language processing with hands-on experience in training fine-tuning optimizing and deploying large language models.
• Cloud Experience: Proficiency with public cloud infrastructure and services (e.g. AWS Google Cloud Azure) and familiarity with containerization technologies (e.g. Docker Kubernetes).
• Problem-Solving Skills: Excellent problem-solving skills and the ability to thrive in a fast-paced collaborative environment.
• Communication Skills: Strong communication skills with the ability to simplify complex technical concepts for non-technical stakeholders.
• Practical Experience: 3 years of practical experience as a machine learning engineer with demonstrated experience in providing technical guidance and support during customer interactions.

Location: Mountain View CA

Salary Range for California-Based Applicants: $150000 - $250000 equity benefits (actual compensation will be determined based on experience location and other factors permitted by law).

Equal Opportunity:

Contextual AI is an equal opportunity employer and complies with all applicable federal state and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race color religion national origin ancestry sex sexual orientation gender gender expression gender identity genetic information or characteristics physical or mental disability marital/domestic partner status age military/veteran status medical condition or any other characteristic protected by law.