Remote Large Language Model (LLM) AI Research Engineer
Upfeat is on a mission to revolutionize the way customers find exceptional online deals. Expanding into 5 global markets with a mix of technical expertise and business acuity, our collaboration with 20 partner sites underlines our expansive reach and dedication. Boasting 40 million unique users and growing, were excited about whats next and ready to keep growing!
Weve built an open... collaborative remote-first environment and we love to learn and experiment with new ideas and technologies. Were proud to appear in the Globe and Mail Report on Business of Canadas Top Growing Companies. In addition to, being ranked in the Deloitte Technology Fast 50 program, and recognized on the Deloitte Technology Fast 500.
Role Description
Were on the lookout for a Large Language Model (LLM) AI Research Engineer who loves getting their hands dirty in the world of NLP. If youre the kind of person who enjoys diving into complex problems, playing around with massive data sets and turning big ideas into real-world solutions, then youll fit right in!
This role is perfect for someone who likes to work both in a team and independently, bringing innovative ideas to life, especially in the area of LLMs. Were a rapidly growing company with a mission and we want someone whos as excited as we are to make a big impact. We are also looking for people that are passionate about empowering the financial success of our customers.
Job requirements
Responsibilities
Lead the development and management of datasets specifically tailored for fine-tuning LLMs, aimed at maximizing model efficiency and effectiveness.
A/B test different open-source LLMs to enhance performance and applicability.
Develop cool applications using LLMs and if youve worked with Huggingface thats a plus.
Engage in pioneering projects with langchain and related LLM applications, pushing technology boundaries and trying new things.
Qualifications
A Bachelors degree in Computer Science or Machine Learning.
Experience with Langchain and RAG
Experience training / fine tuning and deploying open source LLMs
Proficient in Python with extensive experience in ML libraries like TensorFlow and PyTorch.
Exceptional problem solving abilities, meticulous attention to detail and a talent for logical reasoning
Notice for Job Applicants
We are living and thriving on diversity at Upfeat! We thank all applicants, however only those selected for an interview will be contacted.
Jobicy job ID: 106043
Apply Now
Weve built an open... collaborative remote-first environment and we love to learn and experiment with new ideas and technologies. Were proud to appear in the Globe and Mail Report on Business of Canadas Top Growing Companies. In addition to, being ranked in the Deloitte Technology Fast 50 program, and recognized on the Deloitte Technology Fast 500.
Role Description
Were on the lookout for a Large Language Model (LLM) AI Research Engineer who loves getting their hands dirty in the world of NLP. If youre the kind of person who enjoys diving into complex problems, playing around with massive data sets and turning big ideas into real-world solutions, then youll fit right in!
This role is perfect for someone who likes to work both in a team and independently, bringing innovative ideas to life, especially in the area of LLMs. Were a rapidly growing company with a mission and we want someone whos as excited as we are to make a big impact. We are also looking for people that are passionate about empowering the financial success of our customers.
Job requirements
Responsibilities
Lead the development and management of datasets specifically tailored for fine-tuning LLMs, aimed at maximizing model efficiency and effectiveness.
A/B test different open-source LLMs to enhance performance and applicability.
Develop cool applications using LLMs and if youve worked with Huggingface thats a plus.
Engage in pioneering projects with langchain and related LLM applications, pushing technology boundaries and trying new things.
Qualifications
A Bachelors degree in Computer Science or Machine Learning.
Experience with Langchain and RAG
Experience training / fine tuning and deploying open source LLMs
Proficient in Python with extensive experience in ML libraries like TensorFlow and PyTorch.
Exceptional problem solving abilities, meticulous attention to detail and a talent for logical reasoning
Notice for Job Applicants
We are living and thriving on diversity at Upfeat! We thank all applicants, however only those selected for an interview will be contacted.
Jobicy job ID: 106043
Apply Now