Machine Learning Engineer, Search (multiple levels) Remote - United States

HaylieRead Interior Design; United States; Remote; USD 185,000 - 322,000; Full time

Job summary

An innovative company is seeking experienced Machine Learning Engineers to join their dynamic team. This remote-friendly role involves developing and optimizing search retrieval and ranking models, ensuring users can effortlessly find high-quality answers. Collaborating with product managers and data scientists, you'll play a crucial role in shaping the future of search products. If you're passionate about leveraging machine learning to enhance user experiences and thrive in a high-impact environment, this opportunity is perfect for you. Join a forward-thinking team and make a significant impact on one of the largest platforms on the internet.

Benefits

Medical Insurance

Dental Insurance

Vision Insurance

401(k) with Employer Match

Generous Time Off

Parental Leave

Equity in the form of RSUs

Commission potential

Qualifications

• 3-10+ years of experience in machine learning or software engineering.
• Expertise in building and optimizing machine learning models.

Responsibilities

• Develop and enhance search retrievals and ranking models.
• Collaborate with cross-functional teams to build search systems.

Skills

Machine Learning Engineering

Backend Development

Search & Recommender Systems

Object-Oriented Programming

API Design

Data Pipeline Development

Tools

PyTorch

TensorFlow

GraphQL

REST

Kafka

Redis

Kubeflow

Airflow

BigQuery

Job description

Machine Learning Engineer, Search (multiple levels)

Remote - United States

Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 97M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit redditinc.com.

Location:
This role is completely remote-friendly. If you happen to live close to one of our physical office locations, our doors are open for you to come into the office as often as you'd like.

Team Description:
The Search & Recommendation Relevance team focuses on delivering the most relevant results and recommendations when users search for anything on Reddit. Our systems and algorithms operate on the world's largest corpus of human conversation, showcasing the best answers and opinions from all across Reddit on any topics, empowering discovery.

We are looking for Machine Learning Engineers across multiple levels to shape the future of Search products at Reddit.

Role Description:

• Develop and enhance Search Retrievals and Ranking models - from optimizing lexical search (e.g. SOLR tuning) to designing and iterating on semantic models and ranking systems.
• Design and build pipelines and algorithms that make it effortless for users to find high-quality answers - whether it's recommendations for the best hiking trail, travel advice, or reviews of the next product or restaurant.
• Collaborate with product managers, data scientists, ML modelers and platform engineers to build a state of the search recommender system.
• Develop and test new components in our pipelines, deploying ML models, integrating LLMs, and ensuring effective monitoring and product integration.
• Leverage your technical expertise to ensure our pipelines maintain high uptime and low latency, while collaborating with other technical leaders to develop a long-term roadmap that aligns with the needs of a constantly evolving search product ecosystem.
• This is a high-impact role where you will be involved in technical & product strategy, operations, architecture, and execution for one of the largest sites in the world.

Required Qualifications:

• 3-10+ years of industry experience as a machine learning engineer or software engineer developing backend/infrastructure at scale.
• Experience in working and building machine learning models using PyTorch or Tensorflow.
• Experience working with search & recommender systems and pipelines.
• Experience building production-quality code incorporating testing, evaluation, and monitoring using object-oriented programming, including experience in Python and Golang.
• Experienced with GraphQL, REST, HTTP, Thrift or gRPC basics, and the ability to design and implement maintainable APIs. Deep systems level understanding of industry scale recommendation systems.
• Experience of developing applications using large scale data stack - e.g. Kubeflow, Airflow, BigQuery, GraphQL, Kafka, Redis etc.

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base pay range for this position is:

$185,800 - $322,000 USD

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.

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Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.