ML Engineer, Synthetic Data Pipelines - Remote

Cohere; Greater London; Hybrid; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Inclusive culture and work environment

Work with a cutting-edge AI team

Weekly lunch stipend

Full health and dental benefits

Parental Leave top-up for 6 months

Personal enrichment benefits

Remote-flexible work

6 weeks of vacation

Job summary

A technology firm specializing in AI seek a Machine Learning Engineer focusing on synthetic data to develop and optimize data pipelines for advanced language models. The role involves maintaining the synthetic data pipeline, data analysis, and model evaluation to improve model performance. Ideal candidates will have experience in software engineering, particularly in Python, and familiarity with data frameworks. The company promotes an inclusive work culture and offers perks like a flexible remote work policy and generous vacation time.

Qualifications

• Strong proficiency in Python and experience in building data pipelines.
• Familiar with tools like Apache Spark and Pandas.
• Worked with LLMs through projects or personal experiences.

Responsibilities

• Design and build inference pipelines that utilize large GPU clusters.
• Conduct data ablations to assess data quality.
• Collaborate with cross-functional teams on data pipelines.

Skills

Strong software engineering skills

Data pipeline building

Data processing frameworks knowledge

Experience with LLMs

Use of inference frameworks

Working with large-scale datasets

Tools

Python

Apache Spark

Apache Beam

Pandas

Job description

A technology firm specializing in AI seek a Machine Learning Engineer focusing on synthetic data to develop and optimize data pipelines for advanced language models. The role involves maintaining the synthetic data pipeline, data analysis, and model evaluation to improve model performance. Ideal candidates will have experience in software engineering, particularly in Python, and familiarity with data frameworks. The company promotes an inclusive work culture and offers perks like a flexible remote work policy and generous vacation time.