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Machine Learning Engineer Search Jobs (NOW HIRING)

Multi Media LLC

Machine Learning Engineer

$180K - $200K/yr

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

WorkNovas LLC

Machine Learning Engineer

Richmond, VA · On-site

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 ...

Accelint

Machine Learning Engineer

... search, question answering, summarization, and information extraction across engineering and ... Implement scalable machine learning solutions using Python and modern ML frameworks such as PyTorch ...

Forhyre

Machine Learning Engineer

New York, NY

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 ...

PitchBook Data

Machine Learning Engineer

Seattle, WA

... 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 ...

Apple

Senior Search Machine Learning Engineer

Cupertino, CA · On-site

$184K - $277K/yr

Description 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 ...

X4 Engineering

Machine Learning Engineer

Austin, TX · On-site

$140K - $180K/yr

🚀 Machine Learning Engineer 📍 Austin, TX (Hybrid/Remote Considered) 💰 $140,000 - $180,000 Base We're partnering with a fast-growing energy firm looking to hire a Machine Learning Engineer to ...

Compunnel

Machine Learning Engineer

Philadelphia, PA · On-site

JOB SUMMARY Seeking a hands-on Machine Learning Engineer with strong Python programming expertise and recent PySpark experience to build, deploy, and support production-ready machine learning ...

Anytime AI

Machine Learning Engineer

OR · Remote

$100K - $200K/yr

Position Overview As a Machine Learning Engineer, you will be instrumental in crafting and refining ... Experience in developing search and retrieval algorithms. * Experience in training Large Language ...

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All JobsMachine Learning Engineer Search Jobs

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 Jul 23, 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
What job categories do people searching Machine Learning Engineer Search jobs look for? The top searched job categories for Machine Learning Engineer Search jobs are:
Machine Learning Engineer Search jobs near you
Infographic showing various Machine Learning Engineer Search job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.
Machine Learning Engineer, ASE Search Team

Machine Learning Engineer, ASE Search Team

Apple

Cupertino, CA • On-site

Full-time

Posted 12 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 673 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

The Apple Services Engineering AI/ML organization is hiring a Machine Learning Engineer to join the Search team for Video catalog.
Our team builds the core intelligence that powers search discovery experiences in the Apple TV App, Siri, and Spotlight cross platforms, helping users effortlessly find and enjoy the content they love. We are a collaborative, high-impact team that values innovation, craftsmanship, and end-to-end ownership from idea to launch. Our systems combine large-scale data, modern retrieval and ranking models, and a deep commitment to user privacy.
Join us, you'll develop scalable systems and machine learning models that drive search relevance, personalization, and understanding of content at scale. Working closely with cross-functional partners in product and design, you'll translate cutting-edge research in advanced machine learning and generative AI into secure and delightful production features used by millions every day.
Description
As a Machine Learning Engineer on the Video Search team, within the Apple Services Engineering AI/ML organization, you will design and deploy large-scale ML systems that power search and discovery across Apple platforms.
You'll apply machine learning, natural language understanding, and generative AI to model user intent and deliver relevant, personalized results. Your work will involve building and optimizing cutting edge data processing, ML models, retrieval pipelines, and ranking systems that operate at global scale and under strict privacy standards.
This is a hands-on role where you will collaborate closely with cross-functional teams to bring advanced ML technologies into production-shaping how users discovery content they love in Apple TV app, cross Apple TV partners on Apple Platforms, also through Siri and Spotlight.
Minimum Qualifications
Experience in machine learning, NLP, IR, or more recently Large Language Model ( LLMs).
Strong programming skills in Python, Java and Go for building scalable ML systems.
Hands-on expertise in ML libraries such as PyTorch, JAX, TensorFlow for model training and deployment.
Ability to translate product goals into technical solutions, improving user experience.
Strong communication, collaboration, and analytical problem-solving skills.
In-depth knowledge of search and information retrieval fundamentals, including indexing and ranking. Experience with retrieval and ranking algorithms and building big data pipelines using Hadoop, Java, Scala, Spark and more.
Industrial experience in search, classification, recommendation systems, or related fields.
Familiarity with A/B testing and data-driven product development.
Passionate about creating products loved by customers at Apple.
Bachelor's degree or higher (or equivalent practical experience) in Computer Science, Machine Learning, Natural Language Processing, Artificial Intelligence, or a related field.
Preferred Qualifications
Experience with search or recommendation systems, and semantic retrieval or vector databases.
Expertise in transformer architectures, embeddings, and retrieval or ranking models.
Experience in applying or fine-tuning LLMs for understanding and generation tasks. Familiarity with prompt design, context management, RAG and Agentic architectures and solutions.
Exposure to evaluation and safety frameworks for LLM-based systems.
Knowledge of reinforcement learning and other modern post training practices for LLMs.
Passion for developing intelligent, human-centered experiences to enhance content discovery.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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