Senior Member of Technical Staff, Synthetic Data

Avenue.io Inc.; Toronto; Remote; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Weekly lunch stipend and meals

Health, dental, and mental health

RRSP/401K-like retirement benefits

Parental leave top-up

Enrichment benefits and learning stipе

Vacation and offsite

Home office stipend

Job summary

Cohere is a leading security-first enterprise AI company building foundation models and end-to-end products for real-world business problems. We are seeking a Senior Machine Learning Engineer focused on synthetic data who will own the end-to-end management of the synthetic data pipeline to improve language model training.

You will design scalable inference pipelines, perform data ablations, and implement innovative data curation methods in collaboration with researchers and engineers across time

Qualifications

• Strong software engineering skills with Python.
• Experience building data pipelines and data processing workflows.
• Familiarity with Spark, Beam, Pandas or similar data frameworks.
• Experience working with LLMs through work, open-source, or personal projects.
• Familiarity with LLM inference frameworks such as vLLM and TensorRT.
• Experience handling large-scale datasets, including web data, code data, and multilingual corpora.
• Interest in bridging research and engineering to solve AI training challenges.

Responsibilities

• Design and build scalable inference pipelines that run on large GPU clusters.
• Conduct data ablations to assess data quality and experiment with data mixtures to enhance model performance.
• Research and implement synthetic data curation methods to advance NLP models.
• Collaborate with researchers and engineers to ensure data pipelines meet cutting-edge model requirements.

Skills

Python

Data pipelines

Apache Spark

Apache Beam

Pandas

LLMs

vLLM

TensorRT

Large-scale datasets

Bridge research & engineering

Job description

Who are we?

Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.

We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.

We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!

Role Overview:

As a Senior Machine Learning Engineer specializing in synthetic data, you will play a pivotal role in developing the synthetic data pipeline that is crucial to Cohere’s advanced language models. Your responsibilities will encompass the end-to-end management of synthetic data, including maintaining and optimizing the synthetic data pipeline, data analysis and generation, as well as conducting data ablations and model evaluation to gauge data quality. You will work with diverse web data and code data and transform them using generative models to improve token efficiency and model quality. By combining research and engineering, you will bridge the gap between raw data and cutting-edge AI models, directly contributing to improvements in critical training metrics like throughput and accelerator utilization.

Your work will be essential to Cohere’s mission of delivering efficient and reliable language understanding and generation capabilities, driving innovation in natural language processing. If you are passionate about transforming data into the foundation of AI systems, this role offers a unique opportunity to make a meaningful impact.

Note: We have offices in London, Toronto, New York and San Francisco, but we’re also remote-friendly! This team operates primarily between ET to CET time zones, so we’re seeking candidates in locations that align with these hours for effective collaboration.

Key Responsibilities:

• Design and build scalable inference pipelines that run on large GPU clusters.

• Conduct data ablations to assess data quality and experiment with data mixtures to enhance model performance.

• Research and implement innovative synthetic data curation methods, leveraging Cohere’s infrastructure to drive advancements in natural language processing.

• Collaborate with cross-functional teams, including researchers and engineers, to ensure data pipelines meet the demands of cutting-edge language models.

Qualifications:

• Strong software engineering skills, with proficiency in Python and experience building data pipelines.

• Familiarity with data processing frameworks such as Apache Spark, Apache Beam, Pandas, or similar tools.

• Experience working with LLMs through work projects, open-source contributions or personal experimentation.

• Familiarity with LLM inference frameworks such as vLLM and TensorRT.

• Experience working with large-scale datasets, including web data, code data, and multilingual corpora.

• A passion for bridging research and engineering to solve complex data-related challenges in AI model training.

Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).

Working Location:
This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.

Full-Time Employees at Cohere enjoy these Perks:

• A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.

• Full health and dental benefits, including a separate budget for mental health.

• RRSP matching, 401K, Pension Scheme.

• 100% Parental Leave top-up for up to 6 months, for either parent.

• Annual enrichment benefits:

  Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.

  Education & learning stipend for conferences, courses, and coaching.

• 6 weeks of paid vacation (30 working days!)

• Budget for traveling to other offices if you are remote, plus an annual company offsite.

How and Where We Work:

• Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.

• For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.

• For those not near an office: a co-working benefit so you can work alongside others in your city.

• Everyone receives a $500 home office stipend to set up your workspace properly.

We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.

We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.