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Senior Machine Learning Engineer I, Search Mission Understanding

extra holidays - extra parental leave
Remote: 
Full Remote
Contract: 
Salary: 
170 - 200K yearly
Experience: 
Senior (5-10 years)
Work from: 
New York (USA), United States

Offer summary

Qualifications:

Experience with machine learning techniques., Proficiency in machine learning frameworks., Strong coding skills in Python/Scala/Java., Knowledge of databases and SQL..

Key responsabilities:

  • Develop custom machine-learning models.
  • Prototype and productionize large-scale ML models.
  • Conduct A/B experiments to validate ML effectiveness.
  • Collaborate in a cross-functional team.
Etsy logo
Etsy XLarge http://www.etsy.com
1001 - 5000 Employees
HQ: New York
See more Etsy offers

Job description

Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy, Reverb, or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.

Salary Range:

$170,000.00 - $200,000.00

What’s the role?

We are looking for a Senior Machine Learning Engineer to join the Search team at Etsy. Our team develops custom machine-learning models that can drive product vision and customer impact. We’re a cross-functional group of applied scientists, machine learning engineers, and product managers. As an engineer on our team, you will play a major role in improving the shopping experience for millions of Etsy buyers. We are looking for individuals who are product and delivery-driven, and are passionate about using  ML to improve Etsy for both buyers and sellers.

This is a fantastic opportunity for someone interested in building state-of-the-art ML systems for a two-sided marketplace with 90+ million buyers, 7+ million sellers, and hundreds of millions of unique, handmade, vintage listings.


This is a full-time position reporting to the Engineering Manager, Search Mission Understanding. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. 

For this role, we are considering candidates based in the United States. Candidates living within commutable distance of Etsy’s Brooklyn Office Hub or in the San Francisco Bay Area may be the first to be considered. For candidates within commutable distance, Etsy requires in-office attendance once or twice per week depending on your proximity to the office. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more details about our  work modes and workplace safety policies here.

What’s this team like at Etsy?

Here’s a taste of the problems we’re solving:

  • How can we help buyers find the high quality and relevant products at Etsy?

  • How can we help buyers when they don’t know how to describe what they’re looking for?

  • How can we better understand a user's shopping mission when they come to Etsy?

  • How can we help buyers to narrow down their search based on their preferences?

What does the day-to-day look like?

  • You will work in a cross-functional team to prioritize projects which help achieve our product targets.

  • Push the state of the art and apply the latest advances in Large Language Model and machine learning field to improve buyer experiences on Etsy

  • Prototype, optimize, and productionize large-scale ML models that help deliver key results

  • Conduct A/B experiments to validate the effectiveness of ML models and pipelines

  • Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.

Qualities that will help you thrive in this role are:

  • You have experience of applying machine learning techniques in addressing real-world problems 

  • You have experience of writing training data pipelines, training and evaluating models, deploying models and monitoring production machine learning systems. 

  • You have experience working with machine learning frameworks and technologies such as Tensorflow/TFX, PyTorch, Kubeflow.

  • You have experience of fine-tuning and evaluating pre-trained language models, including LLMs like GPT or Gemini. 

  • You are proficient with databases, SQL, and scripting languages. 

  • You have strong engineering and coding skills, with the ability to write high quality production code. Proficiency in Python, Scala, Java and/or other equivalent languages.

  • You are a mindful, empathetic, and communicative member of your team.

Additional Information

What's Next
If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.

Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Teamwork
  • Communication

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