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Full-Time

Machine Learning Engineer

Posted on 10/30/2024

Valence

Valence

51-200 employees

AI & Machine Learning
Education

Mid

No H1B Sponsorship

New York, NY, USA

Candidates based in NYC can work hybrid; otherwise, the role can be remote.

Category
Conversational AI & Chatbots
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Kubernetes
Microsoft Azure
Python
Tensorflow
Data Structures & Algorithms
Pytorch
Docker
AWS
Natural Language Processing (NLP)
Google Cloud Platform
Requirements
  • Bachelor's degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience
  • 3+ years of professional experience (or equivalent) in software engineering, AI/ML development (ideally including a Master's or Ph.D. in Computer Science, ML, Data Science, or a related field)
  • Practical experience and theoretical knowledge of language technologies such as: dialogue/conversational systems, NLP, and Information Retrieval
  • Strong foundation in data structures, algorithms, and software engineering principles.
  • Proficiency in Python and relevant deep learning frameworks; training (e.g. PyTorch, Tensorflow, JAX, Hugging Face Transformers/Adapters), serving (e.g., Hugging Face TGI//outlines, vLLM)
  • Experience with LLM model development and deployment ideally including experience with model distillation, supervised fine-tuning using RLHF/DPO, and automatic prompt tuning (e.g. DSPy, TextGrad)
  • Experience with cloud deployment of ML systems (e.g., AWS, GCP, Azure) including and open systems (e.g. Docker and Kubernetes) and associated ML services.
  • Strong analytical and problem-solving skills
  • Experience structuring and running data-backed experiments
  • Strong written and verbal communication skills
  • Exposure to early-stage startups, preferably B2B SaaS
Responsibilities
  • You will develop scalable data pipelines, optimize models for performance and accuracy, and evaluate them to ensure they are production-ready.
  • Develop, design and implement improvements in user experience in conversational interactions leveraging LLMs in new ways to advance product goals.
  • Work with the product team to analyze user behavior and prioritize evolving requirements.
  • Experiment at a high velocity, conducting statistical analyses, to optimize the end user experience
  • Research and development on new Conversational AI approaches leveraging cutting edge LLM/NLP advancements.
  • Documentation of models, prompts, and processes to increase replicability and drive quality improvements.
  • Stay current with the latest leading research advancements in ML, LLMs, and Conversational AI
  • Support other coding and feature development where required

Company Stage

Series A

Total Funding

$24.3M

Headquarters

Toronto, Canada

Founded

N/A

Growth & Insights
Headcount

6 month growth

16%

1 year growth

20%

2 year growth

42%
Simplify Jobs

Simplify's Take

What believers are saying

  • The $25M funding round indicates strong investor confidence and provides resources for further development and expansion.
  • The development of 'Nadia,' a personalized AI coach, could revolutionize how teams interact with performance management tools, enhancing productivity and engagement.

What critics are saying

  • The success of Valence's AI-driven approach heavily depends on the effective integration and acceptance of AI tools like 'Nadia' by users.
  • The competitive landscape for performance management solutions is crowded, and Valence must differentiate itself to capture market share.

What makes Valence unique

  • Valence's focus on continuous reviews for team performance tracking sets it apart from traditional performance management systems that rely on periodic evaluations.
  • The recruitment of Turing AI Fellow Jeff Dalton as Head of AI and Chief Scientist suggests a strong emphasis on advanced AI capabilities, potentially giving Valence a technological edge.

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