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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 ...

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Machine Learning Engineer Search information

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$31.5K

$128.8K

$193.5K

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

As of Aug 12, 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?

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 August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Staff Machine Learning Engineer - Search

Warnerbros

Bellevue, NE • On-site

$192K - $357K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 24 days ago

Job description

Welcome to Warner Bros. Discovery... the stuff dreams are made of.

Who We Are...

When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next...

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

Staff MLE,Search &Personalization, Content Discovery

Location: Seattle, San Francisco Bay Area, New York

About You:

We'relooking for aStaff Machine Learning Engineerto lead the design and evolution ofML and AI drivenSearchalgorithmsforour global streaming app,HBOMax. This role will own the end-to-end searchalgorithm innovationfrom retrieval and ranking to personalization and experimentation,impactinghow millions of users discover content globally.

You willoperateat the intersection of ML, systems, andproduct, bringing bothdeepexpertisein search/relevance systemsandstrong technical leadership.You'llhelp define the roadmap, drive architecture decisions, and elevate the team's ability to build and iterate on high-quality search experiences.

Responsibilities:

  • Lead the design and development oflarge-scalemodel drivensearchalgorithmsincluding retrieval, ranking, and query understanding

  • Define and evolve thetechnical strategy for search, balancing relevance, latency, and scalability

  • Drive end-to-end ML systems: data pipelines, feature engineering, model training, experimentation, and serving

  • Partner closely with product, data, and infrastructure teams to shapeand execute onthesearch roadmap and user experience

  • Mentor engineersand data scientistsand raise the bar onalgorithm development,system design,MLandengineering practices

  • Identifyand drive high-impact opportunities across search and personalization

  • Motivate,inspireand create a culture of experimentation and data-driven innovation while constantly striving to be an advocate for doing what is right for our customers

Requirements:

  • 8+ years of industry experience, with 4+ years as tech lead experience (preferred)

  • Deepexpertiseinsearch and/or rankingalgorithms(e.g., retrieval, LTR, semantic search,query understanding, entity recognition)

  • Strong experience buildinglarge-scale ML systems in production

  • Proven ability tolead technical direction and influence across teams

  • Experience withonline experimentation and metrics-driven development

  • Strong programming skills in Python (Java/Go a plus)

  • Experience with distributed systems and cloud platforms (AWS/GCP/Azure)

  • Solid understanding of data fundamentals (SQL, pipelines, feature stores)

  • Excellent communication skills and ability to work cross-functionally

Nice to Have

  • Experience with recommender systems or personalization

  • Experience with NLP techniques

  • Familiarity with vector search / ANN (Faiss,ScaNN, etc.)

  • Experience in streaming, marketplace, or content discovery platforms

How We Get Things Done...

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.

If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery's total compensation package for employees. Pay Range: $192,570.00 - $357,630.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.If you're a qualified candidate with an arrest or conviction record, please know that your application will be considered in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

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