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Machine Learning Engineer Search Jobs (NOW HIRING)

OR · On-site

$104K - $143K/yr

Machine learning sits at the center of that experience, shaping how customers search, discover, and ... We are looking for a Senior Staff Machine Learning Engineer to help lead this transformation. In ...

Contribute to search and discovery improvements, including ranking, filtering, relevance, exact match, boolean logic, and LLM-powered enhancements. * Develop and integrate machine learning models ...

Machine Learning Engineer Richmond, Virginia (5 Days Onsite) need local within commute About the ... search and long-term agent memory Orchestrate LLM-based agents using frameworks such as LangChain ...

Senior Search Machine Learning Engineer

Cupertino, CA · On-site

$151K - $199K/yr

The goal of Maps Search team is to take Apple's Maps to the next level of intelligence and accuracy using machine learning and artificial intelligence techniques. Engineers and scientists on our team ...

The Machine Learning Engineer will bridge the gap between data science and software engineering ... Scale.jobs offers a cutting-edge SaaS solution that transforms the job search experience. Founded ...

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer ... Experience in Search, Recommender Systems, Personalization, Computational Advertising or Natural ...

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

... semantic search, classification, and prediction. Contribute to the development of scalable, high ... machine learning engineering, with a strong focus on AI/ML applications in insight generation ...

Machine Learning Engineer

Mahwah, NJ · On-site

$140K - $170K/yr

Machine Learning Engineer About CHEF iQ In 2020, we launched CHEF iQ, an ecosystem of connected ... search, or knowledge retrieval systems. • Experience designing AI agents capable of monitoring ...

New

Machine Learning Engineer Location: Fort Meade, MD Required Clearance : TS/SCI w/ Full-Scope Poly Salary: Competitive We are seeking a highly skilled and motivated Machine Learning Engineer to join ...

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Machine Learning Engineer Search information

See salary details

$31.5K

$128.8K

$193.5K

How much do machine learning engineer search jobs pay per year?

As of Jun 6, 2026, the average yearly pay for machine learning engineer search in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (especially in Python), a solid foundation in mathematics and statistics, and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, as well as experience using cloud platforms and version control systems, is typically required. Critical thinking, problem-solving, and effective communication skills help set candidates apart in this role. These competencies are crucial for designing, implementing, and optimizing machine learning models that solve real-world business challenges.

How does a Machine Learning Engineer specializing in search typically collaborate with data scientists and product teams?

Machine Learning Engineers working on search functionalities often collaborate closely with data scientists to design, experiment, and refine models that improve search relevance and ranking. They also work with product managers and UX designers to understand user needs and translate them into technical requirements for the search experience. Regular communication ensures that model updates align with business goals and user expectations, and cross-functional meetings are common to review performance metrics and prioritize new features or improvements. This collaborative environment helps drive innovation and ensures the search system meets evolving user demands.

What does a Machine Learning Engineer do?

A Machine Learning Engineer designs, builds, and deploys machine learning models and systems that enable computers to learn from data and make predictions or decisions without being explicitly programmed. They work closely with data scientists to develop algorithms, prepare datasets, and optimize model performance. Additionally, they are responsible for scaling models to production environments, monitoring their outcomes, and maintaining the underlying infrastructure. Their work often involves programming, data preprocessing, model evaluation, and collaboration with cross-functional teams.

What is the difference between Machine Learning Engineer Search vs Data Scientist?

AspectMachine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related fields; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDeveloping, deploying, and maintaining ML models in productionAnalyzing data, creating insights, and building predictive models
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, and tech sectors
Search & Comparison IntentFocus on ML model development and deploymentFocus on data analysis and insights generation

While both roles involve working with data and models, Machine Learning Engineers primarily focus on building and deploying scalable ML systems, whereas Data Scientists analyze data to generate insights and inform decision-making. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

More about Machine Learning Engineer Search jobs

Machine Learning Engineer

PROPRIUS

San Francisco, CA

Full-time

Posted 22 days ago


Job description

Machine Learning Engineer

Location: San Francisco, CA

Sponsorship: No

Relocation: No

Industry: Machine Learning

Join an artificial intelligence company in San Francisco that excels at visual recognition and is looking for a new ML engineer to join their team. Become part of a collaborative team that tackles research problems through a process of prototyping, implementation, measurement, and iteration. You will implement state-of-the-art deep learning techniques to help develop innovative AI products.

As a ML Engineer, you will:

  • Work with the research team to improve the visual search products
  • Train models with curated data to evaluated and ultimately improve performance
  • Deploy production-ready models to customers
  • Help maintain the machine learning infrastructure

For this role you will need:

  • MS. Degree
  • Experience with Python
  • Computer Vision or NLP experience
  • Experience debugging complex systems.
  • (Kuberentes or Docker experience would be a plus).

This is an amazing opportunity to join a team and work on large projects using powerful computer vision/deep learning technology.

PROPRIUS is an AI Industry recruiting firm. We’re lucky enough to recruit the best candidates into the most exciting companies all over the United States. We deliver performance.