768 Machine Learning jobs in Washington

Niantic's Machine Learning Team seeks a Machine Learning Scientist to join our AI/ML team. This role focuses on crafting and implementing machine learning-powered features for our geo-location-based mobile games. You will collaborate closely with product managers, game designers, engineers, and data scientists to craft intelligent game mechanics that respond to player behavior, contextual environments, and geospatial signals.

This is a high-impact, hands-on role ideal for candidates passionate about applying ML to mobile games and real-world data challenges.

Niantic is a leading mobile game developer known for groundbreaking real-world mobile gaming experiences. Our mission is to use new technologies to enrich the human experience and encourage exploration of the world around us. Titles like Pokémon GO, Pikmin Bloom, and Monster Hunter Now are just the beginning. We're looking for curious, creative, and purposeful minds to join us on our journey.
Responsibilities

• Craft and develop machine learning models that drive intelligent gameplay features, such as multifaceted content placement, player clustering, and geo-contextual personalization.
• Leverage real-world data (geospatial, temporal, behavioral) to advise in-game decision-making and adapt to player environments in real time.
• Partner with product and design teams to translate gameplay ideas into ML-powered systems.
• Collaborate with data science and data engineering teams to optimize data pipelines for machine learning use cases.
• Collaborate with product and data science teams to perform thorough experimentation, A/B testing, and model evaluation to measure product impact and feature efficiency.
• Contribute to the design of ML infrastructure, tools, and workflows that support the lifecycle of models in production.
• Required in-office 2 days on Tuesday and Wednesday.

• M.S. or Ph.D. in Computer Science, Machine Learning, Statistics, or related technical field.
• 2+ years of experience developing ML systems in a production environment.
• Proficiency in Python and ML libraries such as PyTorch, TensorFlow, Scikit-learn, or similar.
• Experience with applied ML techniques such as supervised learning, clustering, or deep learning.
• Strong analytical and problem-solving skills with a product mentality.
• Ability to communicate technical concepts clearly to multi-functional teams.
• Ability to work in a fast-paced hybrid environment and handle stress appropriately and/or ability to solve practical problems and be sufficiently adaptable to handle dynamic situations with little advance notice.
• Experience working on cross-functional teams with ability to communicate effectively through written and verbal communications, including asynchronous interactions with others.

• Experience building ML features for mobile games or interactive applications.
• Experience with modern data processing frameworks, e.g. Apache Beam or Apache Spark.
• Exposure to active learning methodologies, recommendation systems and real-time model inference.
• Experience with Cloud native model development environments, e.g. GCP or AWS.
• Experience with common machine learning development tools or frameworks, e.g. Jupyter Notebooks, MLflow or Kubeflow.
• Familiarity with geo-contextual modeling, map-based data, and temporal-spatial modeling techniques.
• Solid understanding of geospatial data and location-based modeling challenges.

About Hive

Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hives solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!

Machine Learning Manager

In order to execute our vision, we're constantly growing our machine learning team. We are looking for an exceptional leader to help us with that growth, making sure that each engineer reaches their full potential. We value hard workers who have no qualms working with terabyte-scale datasets. Were interested in experimenting with new models, new ideas, and training on novel datasets. Our ideal candidate has experience managing a team of machine learning engineers working on ML projects of a massive scale, contributes innovative ideas and ingenious modeling improvement strategies to the team, and is capable of mentoring junior engineers through their journey to become better.

• Interface closely with product management, engineering, devops, labeling, and sales teams to build roadmap in supporting the long term vision of the team
• Lead a team of highly capable and passionate machine learning engineers, helping them achieve their goals through mentorship
• Participate in products technical design and architecture
• Participate in the full development cycle: data collection, labeling, model development, experimentation, training, testing, and deployment in production.
• Drive delivery for our product milestones, continually releasing model with new well tested features and ensuring quality metrics are achieved
• Implement and manage security protocols such as training, code review, and best practices
• Own and manage the risk and security of your business function in coordination with the Security Team
• Maintain awareness of industry best practices for data maintenance handling as it relates to your role
• Adhere to policies, guidelines and procedures pertaining to the protection of information assets
• Report actual or suspected security and/or policy violations/breaches to an appropriate authority

• Undergraduate or graduate degree in computer science or similar technical field
• 4+ years experience as a machine learning engineer, with experience in training large deep learning models and working with real world data
• Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP
• 2+ years experience managing machine learning teams
• You have an ability to understand and make well-reasoned tradeoffs in designing features
• Management skills: ability to set roadmap and goals for a team and its individual members, delegate, mentor, and deliver results
• Have a desire to interview engineers, collaborate with a recruiting team, and smoothly onboarding new team members
• Have experience collaborating with product managers and labeling team in delivering model improvements

Who We Are

We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.

Thank you for your interest in Hive and we hope to meet you soon!

The current expected base salary for this position ranges from $80,000 - 250,000. Actual compensation may vary depending on a number of factors, including a candidates qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.

Employees are eligible to participate in a number of Company-sponsored benefits, including health, vision and dental insurance. Employees are also eligible to participate in a gym membership as part of our commitment to employee wellness. In addition, employees will be entitled to paid vacation in accordance with the Company's vacation policy.

Hired applicant may receive an equity grant in the form of an option to purchase stock in the future for a specified price.

Machine Learning Researcher

Seattle, Washington, United States

Software and Services

Summary

Posted: Sep 03, 2025

Weekly Hours: 40

Role Number:

Help us transform how machine learning and artificial intelligence systems are evaluated for quality and safety. You will lead teams building next-generation evaluation systems that combine human and machine intelligence to assess AI models at scale. We are looking for a research manager with deep expertise in applied AI/ML who will drive innovation in automated evaluation, particularly for language models and generative AI systems.

Description

This role leads multifunctional teams developing groundbreaking approaches to AI assessment, including automated evaluation systems. You'll work with ML researchers, engineers, and domain experts to pioneer new methods for scalable, high-quality AI evaluation.

We are looking for an outstanding, hands-on manager who will thrive in a fast-paced environment. We believe the most exciting problems in machine learning research arise at the intersection with real-world use cases, and this is also where the most critical breakthroughs come from.

KEY RESPONSIBILITIES: Lead R&D in automated AI evaluation, including development of LLM-based assessment systems that can reliably evaluate model outputs

Drive research and implementation of novel approaches to measure and improve AI system quality, safety, and alignment

Build and scale evaluation infrastructure that combines human expertise with ML-powered automation

Work with cross-functional partners to integrate evaluation systems into production workflows

Minimum Qualifications

• Master’s degree with 4+ years of industry experience, or PhD with 3+ years, or equivalent work experience

• 3+ years experience developing ML evaluation systems

• 2+ years leading technical teams in ML/AI

• Strong technical leadership and communication skills

Preferred Qualifications

• • Expertise in full-stack LLM development and deployment

• Deep experience with LLM evaluation and automated assessments

• Track record scaling ML systems in production

• Strong product intuition and ability to identify high-impact opportunities

• Excellence in building and leading high-performing technical teams

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $201,300 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more about Apple Benefits. (

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program ( .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Microsoft is pioneering the future of collaborative intelligence through AI-native agents that transform how people work together (e.g., through Microsoft Teams). As part of our applied research initiative, we are reimagining the foundations of teamwork-making collaboration more intuitive, productive, and adaptive across diverse modalities and contexts. We are seeking Machine Learning Engineers with deep expertise in large-scale model deployment, production-grade systems, and engineering excellence. (Machine Learning Engineer II and Senior Machine Learning Engineer positions available.)

As a Machine Learning Engineer , you will work alongside leading scientists to build and optimize infrastructure for frontier models-including large language models (LLM), small language models (SLM), and multimodal systems-leveraging both proprietary and open-source frameworks. Your responsibilities will span the full engineering lifecycle: from model training and serving to monitoring and continuous deployment, with a focus on reliability, performance, and scalability in real-world environments.

We value startup-style efficiency and practical problem-solving. We are seeking a curious, adaptable problem-solver who thrives on continuous learning, embraces changing priorities, and is motivated by creating meaningful impact. Candidates must be self-driven, able to write production-grade code and debug complex distributed systems, understand how to best leverage extensive graphics processing unit (GPU) resources, document engineering decisions, and demonstrate a track record in shipping ML systems at scale. The ability to quickly translate ideas into working code for rapid experimentation is a plus. You may include information about any individual who can serve as your referral in your application?

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond?

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively?impact?our culture every day.

Responsibilities

• Research and develop an understanding of the state-of-the-art?tools, technologies, and methods being used in the research community and product groups?

• Advance research agenda through one or more projects, yielding new algorithms, prototypes, theories, tools, methods, or collections of data?

• Drive the team's strategic vision and align it with the overall company objectives. ?

• Collaborate with stakeholders to define project goals, success criteria, and deliverables. ?

Qualifications

Required Qualifications

• Bachelor's Degree in Computer Science, Math, Electrical or Computer Engineering, Statistics, Econometrics, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)

• OR equivalent experience.

• 2+ years experience in developing AI models in Python and relevant ML libraries, and familiar with LLM and SLM.

• 2+ years experience with building ML infra and deploying ML models for scaled production services.

• 2+ years experience in shipping applied research to production, highlighting a track record of combining coding skills with advanced expertise in AI model development.

Other Requirements

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications?

• Master's Degree in Computer Science, Math, Electrical or Computer Engineering, Statistics, Econometrics, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)

• OR Bachelor's Degree in Computer Science, Math, Electrical or Computer Engineering, Statistics, Econometrics, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)

• OR equivalent experience.

• Doctorate in Computer Science, Math, Electrical or Computer Engineering, Statistics, Econometrics, or related field.

• 3+ years experience with Python and relevant ML libraries (e.g., PyTorch).

• 3+ years experience with building ML infrastructure and developing and deploying ML models.

• 3+ years experience in coding and design, specifically in the development of AI models for scaled production services.

• 3+ years experience in shipping applied research to production, highlighting a track record of combining coding skills with advanced expertise in AI model development.

• Publication record in the areas of Large Language Models, Machine Learning, or Natural Language Processing.

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $99,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD 131,400 - 215,400 per year.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD 119,800 - 234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD 158,400 - 258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications and processes offers for these roles on an ongoing basis.

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That's how we're UNSTOPPABLE for our employees!

• Build and maintain the entire machine learning lifecycle (research, design, experimentation, development, deployment, monitoring, and maintenance).
• Assemble large, complex data sets that meet functional/ non-functional business requirements for machine learning.
• Collaborate with data science, tech, and product teams on defining, architecting, and building data ingestion systems and model training pipelines from experimentation to deployment, monitoring, and continuous performance improvement.
• Ensure machine learning models are optimized and scalable.

• Bachelor's Degree Computer Science, Statistics, Informatics, Information Systems, Machine Learning, or another quantitative field (Required)
• Master's/Advanced Degree Computer Science, Statistics, Informatics, Information Systems, Machine Learning, or another quantitative field (Preferred)
• Data Engineering, Data Science Required
• Experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc., is preferred Required
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement Required
• Experience in programming languages such as Python/R, Java/Scala, and/ or Go Required
• Experience in Apache Spark and Databricks Preferred
• Experience in the telecom industry Preferred

• Programming Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases (Required)
• Big Data Solid understanding of machine learning concepts and techniques related to supervised and unsupervised learning (Required)

• At least 18 years of age
• Legally authorized to work in the United States

The pay range above is the general base pay range for a successful candidate in the role. The successful candidate's actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.

At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile's amazing benefits, check out .

Never stop growing!
As part of the T-Mobile team, you know the Un-carrier doesn't have a corporate ladder-it's more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it's that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you're living our values while investing in your career growth-and we applaud it. You're unstoppable!

T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.

Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing or calling . Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Oak Street Health, part of the CVS Health umbrella, is a rapidly growing company of primary care centers for adults on Medicare in medically-underserved communities where there is little to no quality healthcare. Oak Street's care is based on an entirely new model that is based on value for its patients, not on volume of services. The company is accountable for its patients' health, spending more than twice as long with its patients and taking on the risks and costs of their care. For more information, visit .

Role Description

CVS Health is looking for a machine learning engineer to support our extensive production modeling efforts. Oak Street Health has built world-class risk stratification tools to empower optimal clinical outcomes and you will have the opportunity to contribute to its continued growth through writing production-quality code. You will design, develop, test and expand Oak Street Health's internal tools that enable our Data Science teams to build, deploy and monitor models more effectively and efficiently. You will leverage both your programming and problem-solving skills to improve our model building and hosting pipelines.

Responsibilities

• Design, develop, and implement machine learning pipelines in collaboration with Data Science teams.

• Maintain and enhance best practices through code development and testing, ML model validation, and automation of tests and deployments.

• Collaborate with Data Science, Product, Engineering, and Business partners to deploy effective and efficient state-of-the-art machine learning models that address OSH operational needs.

• Support the full MLOps lifecycle, including external data integration, data validation, model scaling, and prediction monitoring.

• Leverage or build cloud-based architectures, technologies, and/or platforms to deliver ML models at scale.

• Utilize continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.

• Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and ML practices adhere to Responsible and Explainable AI guidelines.

• Independently pursue and implement solutions to complex problems.

What we're looking for

We're looking for motivated, entrepreneurial individuals with:

• Basic Qualifications

• 1+ years of experience building, scaling, and optimizing machine learning systems.

• 1+ years of experience programming with one or more modern languages, such as Python, C++, Java, etc.

• 1+ years of experience with common ML libraries (i.e. Scikit-learn, XGBoost, NumPy, Keras, PyTorch, etc.) and ML algorithms (i.e. clustering, decision trees, boosting, etc.)

• A degree in Computer Science, Mathematics, Statistics, or another quantitative discipline OR 3+ years of direct experience.

• Strong background in the foundations of machine learning and model serving.

• Proficiency with Python and ML frameworks such as Scikit-learn, PyTorch, Dask, Spark, or TensorFlow.

• Track record of building ETL or ML model-serving pipelines.

• Ability to scale a data scientist's code into production-ready packages integrated into core OSH services.

• Strong communication and interpersonal skills with the ability to deliver complex topics to all familiarity levels.

• US work authorization.

• Growth mindset and willingness to learn.

• Someone who embodies being "Oaky".

• Preferred Qualifications

• Experience working with clinical or medical data.

• 1+ years of experience developing analytical pipelines against Cloud Data Warehouses such as BigQuery, Snowflake or Redshift using Python, SQL or PySpark.

• Experience packaging Python code into distributable & deployable packages.

• Experience with at least one major cloud platform (Azure, GCP, AWS)

• Experience with Databricks.

• Hands-on experience with NLP or generative-AI techniques

What does being "Oaky" look like?

• Radiating positive energy

• Assuming good intentions

• Creating an unmatched patient experience

• Driving clinical excellence

• Taking ownership and delivering results

• Being scrappy

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$64,890.00 - $173,040.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan .

• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.

• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

For more information, visit

We anticipate the application window for this opening will close on: 09/12/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

Machine Learning Engineer

Seattle, Washington, United States

Software and Services

Summary

Posted: Aug 26, 2025

Role Number:

Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn’t have imagined, and now, can’t imagine living without. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do.

Description

APPLE INC has the following available in Seattle, Washington. Design and Develop Personalization Algorithms: Develop and refine algorithms that drive personalized content recommendations for millions of users worldwide. Utilize advanced machine learning techniques such as collaborative filtering, related model and deep to improve the accuracy and relevance of recommendations. System Architecture and Implementation: Architect and implement scalable systems for real-time recommendation service and batch processing of large datasets. This involves building data pipelines using technologies like Apache Spark, Hive, and Kafka, and setting up low-latency personalization Java runtime services utilizing technologies such as Apache Cassandra, Redis, Lucene and TensorFlow. Prototyping and Innovation: Continuously explore new data sources and machine learning methods to refine recommendation models. Develop internal tools for prototyping and visualization of new algorithms. This involves full-stack web development utilizing frontend and backend languages such as JavaScript and Java. Experimentation and Testing: Design and conduct A/B tests to measure the impact of different personalization strategies on user engagement and satisfaction. Analyze experiment results and integrate successful features into production systems. Production Deployment and Maintenance: Deploy personalization runtime algorithms and offline data pipelines into production environments, ensuring robustness and scalability. Monitor system performance and health, performing regular maintenance and updates as needed. Cross-Functional Collaboration: Collaborate with product managers, researchers, and software developers to explore and evaluate new personalization strategies to integrate personalization into the broader product ecosystem. Provide expertise on machine learning and personalization to guide product development and strategic decisions. 40 hours/week. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $149,240 - $210,100/yr and your base pay will depend on your skills, qualifications, experience, and location.

PAY & BENEFITS: Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits: Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Minimum Qualifications

• Master’s degree or foreign equivalent in Data Science, Computer Science or related field.

• Education and/or Experience must include:

• Utilizing backend programming languages such as Java, Python, and Scala, and frontend programming languages such as JavaScript, to work on multi-language codebases.

• Utilizing scalable datastore such as Cassandra, Redis and Voldemort for transactional data processing on the runtime services.

• Utilizing TensorFlow to develop and deploy deep learning model for runtime inference.

• Utilizing big data processing technology such as Spark, HDFS, Hive and Iceberg to develop large scale data pipeline.

• Utilizing Kafka to work on cross datacenter data sync and replications.

• Utilizing PySpark and PyTorch for Machine Learning.

• Utilizing Hibernate and Spring MVC frameworks to interact with SQL databases like MySQL or Postgres and NoSQL databases like Cassandra, MongoDB or similar.

• Utilizing knowledge of search engines like Elasticsearch or Apache Solr to query information for API development.

Preferred Qualifications

• N/A

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program ( .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

At Qualtrics, we create software the world's best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform-we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention-but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.

When you join one of our teams, you'll be part of a nimble group that's empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won't have to look to find growth opportunities-ready or not, they'll find you. From retail to government to healthcare, we're on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that's work worth doing.

Machine Learning Engineer

Why We Have This Role

We are looking for an engineer to bring our Machine Learning and Artificial Intelligence R&D strategy to the next level. Our goal is to personalize the Qualtrics experience using ML and AI features showcasing Qualtrics data as a core value proposition and competitive advantage.

You should love building simple solutions to solve hard customer problems. Crafting systems in an agile environment to withstand hyper growth and owning quality from end to end is a rewarding challenge and one of the reasons Qualtrics is such an exciting place to work!

How You'll Find Success

• Work in a supportive environment enables individual growth and achievement of team goals

• Collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to our customers

• Develop scalable, robust, and highly available micro services to perform simple to complex statistical analyses and build/deploy machine learning models

• Implement new features and optimize existing ones to delight our customers

How You'll Grow

• Work in a multi-disciplinary team to implement, tune, and productize cutting-edge machine learning models to meet the demands of our rapidly growing business

• Build and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data.

Things You'll Do

• Work closely with, and incorporate feedback from other specialists, tech-ops, and product managers

• Lead and engage in design reviews, architectural discussions, requirement definitions and other technical activities in diverse capacity

• Attend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customers

• Finding quick ways to prototype and test possible solutions to large problems

What We're Looking For On Your Resume

• Bachelor's degree in Computer Science or related fields.

• Interest in modern machine learning / deep learning systems

• Strong Computer Science fundamentals in algorithm design, complexity analysis, and performance

• Experience in programming with at least one modern programming language such as Java, C# or Python, including object-oriented design

• Experience with applied machine learning models and large-scale ML systems

What You Should Know About This Team

• The Data Intelligence Center of Excellence (DICE) organization provides AI/ML research and development services for all product lines.

• This team builds core machine learning infrastructure and services.

• We partner with application teams to deliver ML algorithms and models that drive efficiency, innovation, and growth.

Our Team's Favorite Perks and Benefits

• $1800 Experience bonus to be used for an "Experience" of your choosing

• Unlimited Sick Days

• Amazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women's Leadership Development, which exist as places for support, allyship, and advocacy.

The Qualtrics Hybrid Work Model: Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life.

Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic.

?Applicants in the United States of America have rights under Federal Employment Laws: Family & Medical Leave Act ( , Equal Opportunity Employment ( , Employee Polygraph Protection Act (

Qualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know.

Not finding a role that's the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events, behind the scenes stories from the team, interview tips, hot jobs, and more. No spam - we promise! You'll hear from us two times a month max with fresh, totally tailored info - so be sure to stay connected as you explore your best role and company fit.

For full-time positions , this pay range is for base per year; however, base pay offered within this range may vary depending on location, job-related knowledge, education, skills, and experience. A sign-on bonus and restricted stock units may be included in an employment offer. Full-time employees are eligible for medical, dental, vision, life and disability, 401(k) with match, paid time off, a wellness reimbursement, mental health benefits, and an experience bonus. For a detailed look at our benefits, visit Qualtrics US Benefits ( .

Washington State Annual Pay Transparency Range

$9,500- 187,000 USD

Since 2010 Synergisticit has helped Jobseekers get employed in the tech job market by providing candidates the requisite skills, experience, and technical competence to outperform at interviews and at clients. Here at SynergisticIT We just don't focus on getting you a tech Job we make careers.
In this Job market also, our candidates are able to achieve multiple job offers and $100k + salaries.
please check the below links to see the success outcomes and salaries of our candidates .




We regularly interact with the Top Tech companies to give our candidates a competitive advantage visit the below videos exhibiting at Oracle Cloud World/Oracle Java one (Las Vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023









All Positions are open for all visas and US citizens
We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like pple, google, Paypal, Western Union, Client, visa, Walmart lab s etc to name a few.
Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
Who Should Apply Recent Computer Science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.
We assist in filing for STEM extension and also for H1b and Green card filing to Candidates
We want Data Science/Machine learning/Data Analyst and Java Full stack candidates
For data Science/Machine learning Positions
REQUIRED SKILLS
Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
Project work on the technologies needed
Highly motivated, self-learner, and technically inquisitive
Experience in programming language Java and understanding of the software development life cycle
Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools
Excellent written and verbal communication skills
Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow
REQUIRED SKILLS For Java /Full stack/Software Positions
Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
Highly motivated, self-learner, and technically inquisitive
Experience in programming language Java and understanding of the software development life cycle
Project work on the skills
Knowledge of Core Java, Javascript, C++, or software programming
Spring boot, Microservices, Docker, Jenkins, Github, Kubernates, and REST API's experience
Excellent written and verbal communication skills
If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team and only connect with candidates who are matching client requirements.
No phone calls, please. Shortlisted candidates would be reached out. No third-party or agency candidates or c2c candidates