Machine Learning Engineer

Shipt
Long Island City, New York, US
$68.4K-$136.9K a year
Full-time
We are sorry. The job offer you are looking for is no longer available.

Impact

As a Machine Learning Engineer, emphasizing collaborative review processes, you will actively participate in code and design reviews within the team.

Read all the information about this opportunity carefully, then use the application button below to send your CV and application.

Given the dynamic nature of the field, particularly with recent advancements in NLP and LLM, staying relevant and sharing knowledge with other team members is a key responsibility.

In this individual contributor role, you will design, develop, test, and deploy ML models to solve customer problems and drive business forward.

You will assist in designing ML services capable of large-scale model development.

You will work closely with many teams, such as product managers, engineers, and other data scientists, as an essential component of the Search and Personalization Machine Learning Team.

In the role of Machine Learning Engineer, your responsibilities encompass guiding, planning, and executing the Search and Personalization ML Roadmap to elevate the Shipt Marketplace Experience.

You will be responsible for creating the architecture and infrastructure and managing the deployment of state-of-the-art machine learning algorithms on the Shipt ML Platform, working in tandem with your ML team and engineering partners.

What You’ll Need to Be Successful

Basic Qualifications

  • BS or MS in Computer Science, Machine Learning, Mathematics, or a related field.
  • 1+ years of experience in Machine Learning pipeline building.
  • Proficiency in frameworks like PyTorch or Tensorflow.
  • Deployment of models to production via fast-api and / or GRPC.
  • Strong foundation in data structures, algorithms, and software engineering principles.
  • Familiarity with MLOps tools and practices like Feast, Kubeflow, MLFlow TFServing. Proficiency in Python, git, and airflow.
  • Strong knowledge of ML-Frameworks (e.g., Pytorch, Tensorflow, scikit-learn).
  • Experience in Cloud Architecture and Cloud Platforms such as Google Cloud, AWS.

Work Arrangement

Shipt considers candidates located near a Shipt office or workspace in Birmingham, San Francisco, or Minneapolis to be hybrid, which means that they have the flexibility to work from home (with leader approval) or at a Shipt office in order to facilitate the ability to innovate, collaborate, and spark team connections.

In-office expectations will vary by role and leader. Certain roles may require in-office presence on a full-time basis. Please work with your recruiter to learn more about the classification of this role.

About Shipt

Shipt is a retail tech company that connects people to reliable, high-quality delivery with a personal touch. Shipt connects customers to the things they want from the stores they love, retail businesses to more satisfied customers, and workers to new earning opportunities.

At Shipt, we aim to put our team first to boost a sense of belonging, spark opportunities for growth, provide unique benefits and commit to giving back to our communities in ways that make life better, both personally and professionally.

We understand that our service, our culture, and our connection to our communities are only made better by every single person who shows up to work here every day. Learn More.

Shipt is an independently operated, wholly owned subsidiary of Target Corporation and available in more than 5,000 U.S. cities.

Shipt was founded and is headquartered in Birmingham, Alabama. For more information, please visit Shipt’s company site at Shipt.com.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or any other characteristic protected by law.

Please inform your recruiting contact upon initial connection if you need any accommodations.

Employees (and eligible family members) are covered by medical, dental, vision and more. Employees may enroll in our company’s 401k plan.

Employees will also be eligible to receive discretionary vacation for exempt team members, paid holidays throughout the calendar year and paid sick leave.

Other compensation includes eligibility for an annual bonus and the potential for restricted stock units based on role.

Pay Range

Metro Areas of Boston, District of Columbia, Los Angeles, San Francisco, Seattle and New York City :

$82,086-$164,314

All other locations :

$68,405-$136,929

Please note that the salary range above is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location.

J-18808-Ljbffr

12 days ago
Related jobs
Promoted
Capital One
New York, New York

As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and pe...

Promoted
GPTZero
Queens, New York

Experience pushing the cutting-edge in machine learning. The ideal candidate is someone who has a history of ML research, possesses a great product sense, and is also an excellent software engineer. ...

Promoted
Capital One
New York, New York

As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and pe...

DoorDash
New York, New York

We’re looking for a passionate Applied Machine Learning expert to join our team. In this role, you will utilize our robust data and machine learning infrastructure to build recommendation system, and implementing new AI solutions to expand restaurants selection and drive their growth. You will be ex...

Adobe
New York, New York
Remote

As a Machine Learning Engineer, you will get to democratize (generative) AI for alland empower a team of accomplished scientists and engineers who are dedicated to building the future of AI and documents and delivering delightful experiences. The Adobe Document Cloud's AI & Innovation Team is lookin...

Rokt
New York, New York

Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, architect machine learning solutions. Build and productionize machine learning models including data preparation/processing pipelines, machine learning orchestrations, im...

Rippling
New York, New York

We are seeking a highly skilled and experienced Staff+ Machine Learning Engineer to join our team. Design and develop scalable machine learning pipelines for data preprocessing, feature engineering, model training, and evaluation. Your expertise will contribute to the advancement of our organization...

Snap Inc.
New York, New York

We’re looking for a Staff Machine Learning Engineer to join Snap Inc!. Strong understanding of machine learning approaches and algorithms. Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks. Experience working with m...

Paxful, Inc
New York, New York
Remote

The Staff Machine Learning Engineer is a seasoned professional with at least 10 years of experience in a variety of machine learning techniques, especially in the predictive AI realm to identify malicious behavior patterns. Extensive experience in working with Machine Learning, including Deep Learni...

BHO Tech
New York, New York

You'll use machine learning, engineering, and analytics to work on a variety of projects, including: personalization/recommendations, pricing, marketing, user experience, and operations. Work on projects that require practical experience with machine learning and software engineering. We’re looking ...