Sales - Machine Learning Engineer, NLP

Key Skills

Aartificial intelligence, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), Natural Language Toolkit - NLTK, Python Programming, Sales, spaCy

Job Description

In this role, you will focus on the following key areas:

• You’ll be working in a team of machine learning engineers of different specialization to prototype and ship world class algorithms that pushes the state of the art.

• Lead the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields.

• Turn prototypes into automation pipelines and deploying them to production; deciding when to use out-of-the-box solutions vs. building custom solutions and utilizing both.

• Ongoing data analysis to build new or fine-tune existing models such as GPT to optimize results.

• Partner closely with software engineers to implement these models into high-performing systems and models in our production environment that can be applied to create amazing experience for our worldwide audience.

• Actively engaging in all aspects of model development, from ideation and experimentation to deployment.

• Communicate results of analyses to business partners and executives.

• Maintain expertise in the latest advancements in AI technology. Partnering with your team members to prepare presentations, papers, and patents for your inventions.

Minimum Qualifications

• 5+ years building NLP/AI software professionally and successfully releasing to customers.
• 5+ years of industry experience building machine learning and deep learning based software applications.
• Ph,D. in Computer Science, Artificial Intelligence, Machine Learning or related field; or
• S. in related field with 3+ years experience applying machine learning engineer to real business problems.

Preferred Qualifications

• Experience with state-of-the-art NLP algorithms and AI models, Multi-modal LLMs, Multi-modal contrastive learning, Foundation models, Diffusion based models and parameter efficient fine tuning of LLMs.
• Solid understanding of inference speed up techniques such as speculative decoding and optimization of LLMs for human preferences.
• A strong track record of shipping products and publications / patents.
• Strong understanding of Python, and related machine learning tools (e.g. TensorFlow, PyTorch, NLTK, spaCy,Keras).
• Excellent presentation, written and verbal communication, engagement and interpersonal skills along with validated skills in building great design.