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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 ...

Apple

Senior Search Machine Learning Engineer

Cupertino, CA · On-site

$151K - $199K/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 ...

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 ...

Apple

Machine Learning Engineer

Austin, TX · On-site

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 ...

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 ...

Emonics LLC

Machine Learning Engineer

Seattle, WA · On-site

Machine Learning Engineer -- Fresher We are hiring a Machine Learning Engineer to develop and deploy machine learning models for business applications. You will work with data scientists and software ...

Full Scope

Machine Learning Engineer

Reston, VA

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 ...

Jobs for Humanity

Machine Learning Engineers

San Jose, CA · On-site

$136K - $280K/yr

Tiktok Machine Learning Engineer (Search) - E-commerce - San JoseSan JoseRegularR DJob ID: A162279 Responsibilities TikTok is the leading destination for short-form mobile video. Our mission is to ...

Quanta Search

Machine Learning Engineer

Manhattan, NY · On-site

Machine Learning Engineers build production grade machine learning algorithms that operate in real time or at scale. They have a very deep understanding of machine learning algorithms and cloud ...

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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 2, 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 June 2026, with employment types broken down into 4% As Needed, 76% Full Time, 12% Part Time, 4% Contract, and 4% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Machine Learning Engineer

Quanta Search

Manhattan, NY • On-site

Full-time

Posted 12 days ago

Job description

Our client is a process driven investment management group consisting of a team of researchers, traders and technologists who harness and apply the power of technology and automation to identify, model and trade global financial markets. This division offers an array of quantitative investment fund products to its clients.
They are seeking candidates with exceptional academic credentials to join their team and participate in and support of the firm's efforts in the research, trading and production processes.
They look for candidates who are eager to make an impact by doing real, hands-on research and development. Candidates must possess exceptional knowledge of mathematical and statistical methods as well as a proven ability to solve complex problems. A desire to work with large data sets and apply creative thinking is required. Successful candidates will also have deep interest in learning about trading and the financial markets.
They offer a supportive environment that fosters independent thought in a collegial, results oriented, work setting. Researchers and developers there are passionate about their work, model building, data and technology.
You are curious and intellectually driven to succeed. You'll be provided with the tools, resources and training required to satisfy that curiosity and passion, leading them to new insights and discoveries. Their process driven approach enables these insights to be thoroughly tested in a systematic fashion and ultimately, if confirmed, integrated into the portfolio.
Role:
Machine Learning Engineers build production grade machine learning algorithms that operate in real time or at scale. They have a very deep understanding of machine learning algorithms and cloud computing. Machine Learning Engineers should be comfortable with data engineering and should have an interest in the data science.
What they will do:
They will be responsible for their production grade signal generation and ML systems. They can act as data scientists, but should be comfortable pushing their algorithms, models, and signals into production.
Minimum Requirements:
  • Strong understanding of statistical analysis and computational modelling.
  • Strong understanding of algorithms and data structures.
  • Familiar with map reduce and big data processing (Spark, Hadoop, DataFlow, etc).
  • TensorFlow (or another GPU integrated deep learning library).
  • Deep understanding of machine learning algorithms.
  • Deep understanding of numerical optimization.
  • Strong understanding of data structures and algorithms.

Plus, but not required:
  • Previous experience in tech industry (GOOG, AMZN, FB, NFLX, Spotify, etc).
  • Experience building industrial grade ETL pipelines.
  • Experience building frontend systems.
  • Familiarity with dashboards and other visualization tools.
  • Ability to derive generalization bounds for common ML algorithms.
  • Experience developing new machine learning algorithms.

Thank you for illuminating hiring with Quanta Search!
www.quantasearch.com

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