1759 Data Scientists jobs in Sunnyvale
Cloud Billing Automation and Data Analysis
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**Job Description:**
**Position Overview:** We are looking for a highly skilled Software Automation Engineer to join our team and take ownership of automating cloud billing processes across multiple cloud providers. This role combines software engineering with financial operations (FinOps), aiming to create seamless billing automation, enhance transparency and accountability, and develop tools for optimal cost utilization. The successful candidate will build custom automation solutions, develop insightful dashboards, and analyze billing data to optimize cloud spending.
**Key Responsibilities:**
+ **Cloud Billing/Resource Automation Development:** Design, develop, and implement automation solutions to streamline and optimize billing processes across major cloud platforms (AWS, Azure, GCP). Use programming and scripting skills to create efficient and scalable automation tools.
+ **Billing Transparency & Accountability:** Develop systems that ensure full transparency and accountability in cloud billing, ensuring data accuracy and alignment with the organization's financial goals. Build processes that provide visibility into cost allocation and consumption trends.
+ **Dashboard Creation & Visualization:** Work closely with stakeholders to design, build, and maintain interactive dashboards to display billing insights. Create user-friendly, real-time visualizations of cloud costs to empower teams to make informed decisions.
+ **Data Analysis & Optimization:** Utilize strong analytical skills to examine billing data, identify inefficiencies, and recommend solutions for optimal cloud cost utilization. Collaborate with the FinOps and engineering teams to implement cost-saving measures.
+ **Software Development for Financial Tools:** Build custom software solutions for monitoring and managing cloud costs, with an emphasis on automation and scalability. Improve the financial oversight and reporting infrastructure for better operational efficiency.
+ **Collaboration Across Teams:** Engage with cross-functional teams, including Finance, Engineering, and Operations, to ensure that the cloud billing system aligns with operational usage, budget planning, and cost allocation processes.
+ **Continuous Improvement & Innovation:** Stay on top of the latest technologies and best practices in both cloud billing automation and financial software development. Implement enhancements and new features to improve billing accuracy, efficiency, and cost management.
**Technical Skills:** Proficiency in cloud platforms (AWS, Azure, GCP) and their respective billing APIs. Strong programming skills in languages like Python, Java, or Go. Working experience with Big Query / Looker is a plus along with GenAI capabilities.
Experience : Bachelor's and 12+ years of related experience
**Additional Job Description:**
**Compensation and Benefits**
The annual base salary range for this position is $141,000 - $225,000
This position is also eligible for a discretionary annual bonus in accordance with relevant plan documents, and equity in accordance with equity plan documents and equity award agreements.
Broadcom offers a competitive and comprehensive benefits package: Medical, dental and vision plans, 401(K) participation including company matching, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company paid holidays, paid sick leave and vacation time. The company follows all applicable laws for Paid Family Leave and other leaves of absence.
**Broadcom is proud to be an equal opportunity employer. We will consider qualified applicants without regard to race, color, creed, religion, sex, sexual orientation, national origin, citizenship, disability status, medical condition, pregnancy, protected veteran status or any other characteristic protected by federal, state, or local law. We will also consider qualified applicants with arrest and conviction records consistent with local law.**
**If you are located outside USA, please be sure to fill out a home address as this will be used for future correspondence.**
Welcome! Thank you for your interest in Broadcom!
We are a global technology leader that designs, develops and supplies a broad range of semiconductor and infrastructure software solutions.
For more information please visit our video library ( and check out our Connected by Broadcom ( series.
Follow us on Linked In Broadcom Inc ( .
Machine Learning - Data Scientist
Posted 1 day ago
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**Sunnyvale, California, United States**
**Hardware**
**Summary**
Posted: **Jul 08, 2025**
Role Number: **200612047**
Do you have a passion for computer vision and solving deep learning problems? The Video Engineering Data Analytics and Quality group is seeking an expert in evaluating machine learning and deep learning models, including foundation models and multimodal systems.
This role will play a critical part in crafting robust evaluation frameworks, using both traditional statistical methods and modern techniques like LLM-as-a-Judge! The ideal candidate combines strong analytical thinking, expertise in Python, and advanced knowledge of statistical methodologies and data quality standards.
This role involves collaboration with teams at Apple passionate about developing foundation models, including ML engineers, data scientists, and ML Infrastructure engineers to deliver amazing user experiences!
**Description**
Develop robust methodologies to assess the performance of foundation models (e.g., LLMs, vision-language models, etc.) across diverse tasks. Leverage LLMs as judges to perform subjective and open-ended model evaluations (e.g., for summarization, reasoning, or multimodal generation tasks). Build, curate, and lead evaluation datasets and benchmarks. Advanced proficiency in at least one scripting language, preferably Python. Collaborate with research, engineering, and product teams to define evaluation goals aligned with user experience and product quality. Conduct failure analysis and uncover edge cases to improve model robustness. Contribute to our tools and infrastructure to automate and scale evaluation processes.
**Minimum Qualifications**
+ BS and a minimum of 10 years relevant industry experience.
+ Strong experience in evaluating supervised, unsupervised, and deep learning models.
+ Hands-on experience evaluating LLMs (e.g., GPT, Claude, PaLM) and using them as scoring/judging mechanisms.
+ Familiarity with multimodal models (e.g., image + text, video + audio) and related evaluation challenges.
+ Proficiency in Python and libraries such as NumPy, pandas, scikit-learn, PyTorch, or TensorFlow.
+ Solid understanding of statistical testing, sampling, confidence intervals, and metrics (e.g., precision/recall, BLEU, ROUGE, FID, etc.).
+ Strong documentation skills, including the ability to write technical reports and present to non-technical audiences.
**Preferred Qualifications**
+ Experience working with open-source evaluation tools like OpenEval, ELO-based ranking, or LLM-as-a-Judge frameworks.
+ Familiarity with prompt engineering, few-shot or zero-shot evaluation techniques.
+ Experience evaluating generative models (e.g., text generation, image generation).
+ Prior contributions to ML benchmarks or public evaluations.
+ Strong interpersonal skills.
**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 $181,100 and $318,400, 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. ( 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.
Machine Learning Data Scientist
Posted 1 day ago
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Job Description
**Sunnyvale, California, United States**
**Hardware**
**Summary**
Posted: **Jun 18, 2025**
Role Number: **200609910**
Do you have a passion for computer vision, large language models, and deep learning? The Video Engineering Data Analytics and Quality (DAQ) group is looking for an experienced Data Scientist with a strong background in computer vision, machine learning, and multi-modal LLM (MM-LLM) to join our dynamic team. The ideal candidate will be responsible for evaluating machine learning and MM-LLM models, developing performance metrics, and conducting thorough failure analysis. This role requires a deep understanding of ML algorithms, data processing, model optimization techniques, and modern evaluation approaches for vision-language models.
**Description**
Our organization supports a diverse array of programs passionate about evaluating ML algorithms and assessing model quality at scale, across domains like computer vision, audio, and multi-modal systems. You will collaborate with multi-functional teams, including domain experts and engineering leads, and adapt methodologies as new insights emerge.
In this role you will:
- Evaluate ML & MM-LLM Models: Analyze and validate computer vision, multi-modal, and large language models to ensure they meet accuracy, robustness, and usability standards.
- Develop Metrics: Design and implement metrics to measure the efficiency and accuracy of models.
- Failure Analysis: Conduct in-depth analysis on model failures across CV and MM-LLM pipelines to surface root causes and improvement areas.
- Data Processing: Clean, transform, and curate large-scale datasets for model evaluation and benchmarking.
- Model Optimization: Apply innovative techniques to optimize models for scalability and real-world deployment.
- Collaborate multi-functionally: Work closely with cross-functional teams, including software engineers, product managers, and other data scientists, to integrate models into production.
- Communicate Results: Present findings clearly and effectively to collaborators across levels of technical understanding.
**Minimum Qualifications**
+ BS in a quantitative field and a minimum of 3 years relevant industry experience.
+ Proven background in data science, machine learning, computer vision and statistical data analysis.
+ Advanced programming skills in data manipulation & processing (SQL & Python preferred).
+ Demonstrated experience in in-depth analysis of machine learning model failures.
+ Experience crafting, conducting, analyzing, and interpreting experiments and investigations.
+ Expertise in data wrangling and developing data visualizations & reporting with toolings such as Tableau, Superset, AWS etc.
**Preferred Qualifications**
+ Experience working with multi-modal foundation models such as GPT-4o, Gemini 2.5, Claudi 3/4, LLaVA, Flamingo, etc.
+ Familiar with machine learning interpretability method and standard processes.
+ Exposure to evaluating vision-language models in production or research settings.
+ Experience handling complex programs and collaborating across engineering, product, and data teams.
+ Detail-oriented to keep track of and understand the workings of sophisticated algorithms.
+ Strong attention to detail in working with large datasets and complex ML systems.
+ Curious, self-motivated, and able to drive improvements to model evaluation pipelines and annotation programs.
+ Outstanding communication skills - both written and verbal - with experience presenting to leadership.
**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 $147,400 and $272,100, 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. ( 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.
Staff Data Scientist (Machine Learning)
Posted 2 days ago
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Job DescriptionJob Description You could work anywhere. Why us? Innovation: Jerry is disrupting the car industry. With our super app, we are ushering in a new era for 300M drivers in the US and radically improving the consumer automotive experience. Impactful Projects: Architect complex deep learning models with massive real-world applications. Startup Energy: Move quickly, test, iterate and own projects end-to-end in an environment where your ideas matter and your impact is felt from day one. Brilliant Teammates: Work with extremely talented and passionate engineers, data scientists, and analysts from companies like NVIDIA, Tencent, Alibaba, ByteDance, etc. About the opportunity: We are looking for a Staff Data Scientist who is energized by working with a high caliber team and making a material difference in the lives of millions to join us! Reporting directly to our cofounder/CTO, you will architect and deploy advanced ML models with massive real-world applications (e.g. model & predict user behavior, leverage LLMs and custom-built components to optimize our chatbot & voicebot, etc). Come play a key role in helping us grow from 5M to 50M customers and become a $10B company in the next 4 years! How you will make an impact: Develop and architect advanced machine learning models to address critical business challenges and drive company-wide strategic initiatives Take ownership of the end-to-end modeling process, from initial ideation to model deployment and maintenance Conduct thorough data preparation and analysis to ensure the quality and relevance of input data for modeling tasks Collaborate closely with cross-functional teams, including Product and Data Engineering to productize and deploy models into production systems Contribute to large-scale company initiatives aimed at solving problems that haven’t yet been touched by anyone at Jerry Ideal profile: PhD in Physics or related field Deep understanding of machine learning algorithms and techniques, with experience in building and deploying models from scratch. Strong analytical and problem-solving skills, with the ability to translate complex business requirements into practical modeling solutions. Passion for real-world application of machine learning, with a desire to make a significant impact on large-scale business initiatives. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on , , , , , , reproductive health decisions or related medical conditions, , , expression, , veteran status, , genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a , please contact us at About Jerry.ai: Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market. #J-18808-Ljbffr
Machine Learning Engineer- Data Scientist
Posted 3 days ago
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Job Type
Full-time
Description
Inuvo, Inc. (NYSE American: INUV) is an Artificial Intelligence based technology company that designs, develops, and patents proprietary advertising solutions that it sells through agencies, directly to brands, and integrated into advertising platforms.
Inuvo is seeking a highly skilled and motivated Machine Learning Engineer / Data Scientist to join our team. The ideal candidate is a problem solver, detail-oriented, and committed to delivering high-quality solutions. This role requires expertise in data analysis, machine learning, and algorithm design. The ideal candidate needs to have development experience. Candidates should thrive both independently and in collaborative, small-team environments. Salary range for this position: $100-$140k.
Primary Responsibilities:
- Serve as a member of the Data Science and Machine Learning team, reporting directly to the Director of Data Science.
- Design, implement, and deploy high-performance, scalable machine learning algorithms.
- Develop and enhance large-scale data analytics tools and frameworks.
- Drive innovation by exploring and applying cutting-edge machine learning and data science methodologies.
- Ph.D. in Computer Science, Statistics, Engineering, or a related technical field.
- At least 3 years of software development experience in Java or Python.
- Minimum 3 years of experience in machine learning, data science, algorithm design, and large-scale statistical analysis.
- Proficiency in large-scale data processing tools such as Spark or Hadoop.
- Experience with Large Language Models (LLMs) and Natural Language Processing (NLP) is highly desirable.
- Strong understanding of data structure optimization and algorithm scalability.
- Familiarity with AWS and its suite of data analytics/ML tools is a plus.
- Knowledge of Kafka, Hive, SQL, and shell scripting is an added advantage.
- Proven track record of working on complex, modular projects with the ability to define designs and test scenarios independently.
- Strong curiosity and enthusiasm for data exploration and discovery.
- Proficient in verbal and visual storytelling with data to communicate insights effectively.
- US work authorization.
- A collaborative and supportive work environment with opportunities to lead and innovate.
- Engagement in impactful projects with cutting-edge technologies.
- Opportunities for continuous learning and career growth.
- Competitive health benefits, including medical, vision, dental, and various voluntary benefits.
- Flexible vacation, holiday, and sick leave.
- 401(k) Plan with company matching.
- Offer a hybrid of in-office and remote work.
Inuvo is an Equal Opportunity Employer and seeks to foster community, inclusion, and diversity within the organization. We encourage all qualified candidates, regardless of racial, religious, sexual, or gender identity, to apply.
Machine Learning Engineer Data Scientist
Posted 3 days ago
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SOUNDHOUND INC. TURNS SOUND INTO UNDERSTANDING AND ACTIONABLE MEANING. We believe in enabling humans to interact with the things around them in the same way we interact with each other: by speaking naturally to mobile phones, cars, TVs, music speakers, coffee machines, and every other part of the emerging 'connected' world. Our latest product, Hound, leverages our Speech-to-Meaning technology to showcase a ground-breaking smartphone experience. Our SoundHound product applies our technology to music, enabling people to discover, explore, and share the music around them, and even find the name of that song stuck in their heads by singing or humming. And through the Houndify platform, we empower developers to be part of the speech-to-meaning revolution. Mission: Houndify everything. ABOUT THE ROLE: At SoundHound, we view our data and our engineering team as two of our biggest assets. This role lives at the intersection of the two. We have a huge amount of data from hundreds of millions of users of: SoundHound: music app featuring search, discovery, and play with LiveLyrics Hound: newly released app featuring unprecedented speech recognition and natural language understanding Houndify: platform enabling developers to add voice enabled conversational interface to anything We aspire to leverage this data to make informed decisions to steer product development, marketing and user engagement. We have only scratched the surface of the kind of advanced analytics and insight generation we'd like to do! This is an opportunity to work on the most challenging data science problems, build large scale distributed machine learning systems from the ground up, and use cutting edge technologies like Spark, Kafka, and Tensorflow. RESPONSIBILITIES: Develop high-performance, data-driven systems in a distributed infrastructure Build machine learning models for analysis of queries using NLP, Deep Learning Develop scalable components for query intent classification, entity detection, dialog understanding, slot filling and domain detection Leverage massive datasets for modeling, recommendations, ad targeting and insight generation Build and maintain knowledge graph of content from diverse data sources, and perform data mining to serve high volume of requests REQUIREMENTS: Background and passion for machine learning, AI, and/or statistical modeling Experience in one or more of the following areas: classification systems, ranking systems, recommender systems, predictive modeling, and/or artificial intelligence Strong coding experience preferably in Java, Scala, or Python A desire to bring data-driven decision-making and analytics to improve our products BS/MS in Computer Science or equivalent NICE TO HAVES: Prior experience with Natural Language Processing Understanding of deep learning algorithms and workflows Experience with Deep Learning / Neural Network frameworks such as Caffe, Tensorflow, PyTorch, etc. Experience with analytical tools supporting data analysis (eg. Tableau) HOW TO APPLY: Please include a resume and a cover letter letting us know why you'd like to work at SoundHound in particular! #J-18808-Ljbffr
Data Scientist & Machine Learning Engineer
Posted 25 days ago
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Job DescriptionJob Description About Grupago Grupago uses AI to scale small business credit and payments worldwide. Around the developing world, the vast majority of the economy is driven by small, often informal micro-businesses. These businesses have been ignored both by banks and fintechs, given the challenges to underwrite and serve. We use AI to bring both business credit and payments to micro-businesses across the globe – starting with Latin America. We launched a credit card in Mexico last year, have thousands of customers, recently launched a small business loan product, and are expanding into payments this year. Our vision is to use AI to automate every part of our business – from acquisition, to underwriting, to credit line upgrades, to collections – in order to serve millions of micro-businesses around the world in a scalable and profitable way. Our team is run by a very small (currently 8 person) team of extremely talented, mission-driven, data focused engineers and business leaders – including a CEO/co-founder who is a successful former VC and multi-exit fintech founder, and team members with decades of combined experience at leading fintechs across the US and Mexico. We are backed by top venture investors across the US and Mexico, and have raised over $6M in venture capital. This role will include a competitive salary, bonus, and equity compensation. Responsibilities We are looking to hire an experienced Data Scientist & Machine Learning Engineer. Specifically, the role will include leading: Machine Learning engineering – directly add features to and continuously refine and improve our machine learning models Agentic systems buildout – oversee the buildout of agentic systems across our business (from acquisition to customer service and collections) Data analytics – running key analyses to help inform the business on metrics like profitability, customer segment / risk profiling, funnel and acquisition cost metrics The role will entail working closely with the co-founder and CEO, who is also technical and experienced in data science (though you will be primarily responsible for leading the function). Requirements The ideal candidate will have the following skills: 5-10+ years proven experience (with strong recommendations) directly building and optimizing machine learning models – ideally related to consumer credit risk (micro-business loans, credit cards, etc.) Highly experienced in SQL, Python, and key machine learning and data science libraries and analytical tools Ideally – fluent in Spanish (though this is a nice to have) Experience working in and thriving in a highly entrepreneurial early stage startup The role will be based in Silicon Valley and will be hybrid – requiring working in-office (San Mateo location) approximately 2-3 days per week. Benefits Benefits In addition to working at an early stage fast moving startup - you will qualify for equity (stock option grants), competitive compensation and any bonuses, paid time off and holidays. Learn more Learn more at or in English ( ) #J-18808-Ljbffr
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Machine Learning Data Scientist I
Posted 1 day ago
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Robert Half, one of FORTUNE's World's Most Admired Companies and a Fortune 100 Best Companies to Work For is hiring for a Machine Learning Data Scientist I to join the Data Science Innovation department. Our department is a dynamic, global team of diverse professionals dedicated to developing award-winning AI solutions, including both traditional and generative models. We leverage cutting-edge machine learning technologies to drive innovation and enhance Robert Half's recruiting, placement, and sales processes, as well as support modernization efforts across the organization.
We are seeking a passionate Data Scientist who is ready to take their career to the next level by helping to shape the future direction of our AI tech. Having invested heavily in data science, our AI leverages millions of proprietary data points and drives innovation across the core products at Robert Half. We are looking for candidates who can communicate complicated ideas clearly between technical and non-technical teams, who have a passion for solving complex problems and working with detailed datasets, and who have the skills to pursue questions to their logical end. If you're passionate about machine learning and want to be part of a team shaping the future of AI in the talent solutions industry, we'd love to have you join us!
**What You'll Do**
+ Engage with non-technical teams to assist in project scoping, prioritization, and decision-making processes.
+ Collaborate with a diverse team of talented data scientists and engage with various cross-functional teams within Robert Half to drive innovation and excellence.
+ Participate in project design, development, testing, implementation, and documentation.
+ Improve data collection processes to enhance the quality of analytics.
+ Apply technical solutions to solve business problems and achieve business goals using an array of data science and machine learning tools that follow data science best practices.
+ Support the establishment of technical standards, compliance, key performance indicators (KPIs), monitoring strategies, model updates, and testing protocols.
+ Engage in code reviews, debugging activities, both independently and as part of a team.
**What You'll Need**
+ Bachelor's degree in computer science, Statistics, Mathematics, Physics, or other STEM fields. Advanced degrees preferred.
+ 2+ years of hands-on industry experience in statistical modeling, data mining, large data analysis and predictive modeling using python; text mining a major plus.
+ 2+ years of experience working in cloud environment like AWS.
+ Experience with agile development process.
+ Familiarity with version control (e.g., git).
+ Experience in developing machine learning algorithms and bringing them to production.
+ Excellent technical and communication skills.
+ Demonstrated ability to collaborate with teams and external partners to understand the technological landscape and document ML processes effectively.
+ Creative thinking with the ability to translate business and functional requirements into comprehensive designs, collaborating closely with product and engineering teams for implementation.
**What We Offer**
+ A supportive environment where talent is encouraged to grow and take on new challenges.
+ Opportunities to work on cutting-edge projects in AI and data science.
+ A culture that values diversity, inclusion, and the professional development of all team members.
The typical annual salary range for this position is shown below and is negotiable depending upon experience and location. The position is eligible for a discretionary annual bonus.
$102,000.00 - $150,000.00
We offer exceptional earning potential and a competitive benefits package, including group health insurance benefits (medical, vision, dental), FSA and HSA healthcare accounts, life and accident insurance, adoption and fertility assistance, paid parental leave of up to 6 weeks, and short/long term disability. Robert Half provides paid time off for vacation, personal needs, and sick time. The amount of Choice Time Off (CTO) our people receive varies based on their years of service and is pro-rated based on the hours worked per week. A new hire earns up to 17 days of CTO per calendar year. Our people also receive up to 11 paid holidays per calendar year. We also offer the opportunity to contribute to our company 401(k) savings and investment plan or deferred compensation plan (if eligible), with an employer match of 100% on the first 3% of your contributions for eligible employees. Learn more at roberthalfbenefits.com/Resources .
Robert Half Inc. is an Equal Opportunity Employer. M/F/Disability/Veteran
As part of Robert Half's Corporate Services facility employment process, any offer of employment is contingent upon successful completion of a background check.
Robert Half is committed to being an equal employment employer offering opportunities to all job seekers, including individuals with disabilities. If you believe you need a reasonable accommodation in order to search for a job opening or to apply for a position, please contact us by sending an email to or call 1. for assistance.
In your email please include the following:
+ The specific accommodation requested to complete the employment application.
+ The location(s) (city, state) to which you would like to apply.
For positions located in San Francisco, CA: Robert Half will consider qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
For positions located in Los Angeles County, CA: Robert Half will consider for employment qualified applicants with arrest or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Machine Learning Data Scientist - Computer Vision
Posted 1 day ago
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Job Description
**Sunnyvale, California, United States**
**Hardware**
**Summary**
Posted: **Jul 08, 2025**
Role Number: **200611839**
The Video Engineering organization is at the forefront of developing innovative technologies for future Apple products, with a strong focus on real-time video processing powered by foundation models.
Our team has contributed to impactful projects such as FaceID for iOS and OpticID for Apple Vision Pro. We are currently looking for a hardworking Data Scientist to evaluate and craft Apple's machine learning based products in the field of computer vision, solutions that touch the lives of millions of users around the world.
You'll be tasked to collaborate with multi-functional teams including deep learning, quality assurance, cloud infrastructure, and user research. You will drive improvements in algorithm performance and guide feature development through data driven insights, helping to deliver outstanding user experiences across Apple's product ecosystem.
**Description**
Video Engineering DAQ (Data Analytics and Quality) team is seeking a self-motivated and diligent Data Scientist to research and develop evaluation methods that support the continuous improvement of Apple's diverse computer vision projects.
In this role, you will gain deep insight into Apple's algorithms and conduct in-depth failure analyses using data from on-device to large-scale user studies to uncover root causes of unexpected algorithm behavior. You will regularly and directly present your findings to Apple senior leadership and multi-functional teams, playing a key role in guiding product development. A strong programming background is essential, as you will also be responsible for building and maintaining automated pipelines that run on cluster machines to analyze and visualize data at scale.
**Minimum Qualifications**
+ BS and a minimum of 3 years relevant experience
+ Extensive experience in data science, machine learning, computer vision and statistical data analysis
+ Proven experience in in-depth analysis of machine learning model failures
+ Proficient in crafting, conducting, analyzing, and interpreting experiments and investigations
+ Advanced programming skills in data manipulation & processing (SQL & Python preferred)
+ Expertise in data wrangling and developing data visualizations & reporting with toolings such as Tableau, Superset, AWS etc.
+ Experience presenting data to stakeholders
**Preferred Qualifications**
+ Familiar with machine learning interpretability methods is a huge plus
+ Outstanding verbal and written communication skills, along with strong collaborative abilities
+ Self-motivated and curious with creative and critical thinking capabilities
**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 $147,400 and $272,100, 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. ( Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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Machine Learning Engineer
Posted today
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Job Description
LeanData helps the world's fastest-growing companies automate, simplify, and accelerate revenue.
We are looking for a curious and innovative Machine Learning Engineer to explore, experiment and build AI driven solutions that analyze customer journey and go to market data. The ideal candidate will have a passion for experimenting with various AI libraries and tools, making recommendations, and collaborating with cross-functional teams to develop a product that uncovers insights tied to our customers' success.
This role is based at our Santa Clara, CA office. An ML Engineer is required to be in office Mondays and Wednesdays each week. Lunch will be provided on those days.
What you'll be doing:
- Research, prototype and experiment with a variety of AI/ML libraries, frameworks, and tools to identify the best approaches for analyzing go to market data
- Analyze findings from experiments and provide clear, actionable recommendations on optimal AI/ML methodologies and technologies
- Collaborate with product and engineering teams to design, develop and deploy a scalable AI-powered product that delivers insights into a go-to-market strategies and their impact on success
- Build, evaluate, and optimize machine learning models to ensure high performance, accuracy, and scalability
- Stay updated on emerging AI/ML trends, tools, and techniques that can be used incorporated into the product
Requirements:
- Strong ability to experiment with and explore diverse AI/ML libraries and tools
- 6+ years of experience in machine learning with hands on experience building and deploying ML models
- Comfortable working with Python or similar programming languages for data analysis and model development.
- Ability to analyze complex datasets, identify patterns, and translate findings into business-relevant insights.
- Collaborative mindset with experience working in cross-functional teams.
- Master's degree in Machine Learning or Computer Science (heavily focused on Machine Learning/Artificial Intelligence)
- Desire to learn
- Experience building and maintaining robust data and machine learning pipelines, including preprocessing, model training, and deployment workflows.
Bonus points if you have:
- Familiarity with natural language processing (NLP)
- Prior experience contributing to the development of a customer-facing AI product
- Familiarity with data processing tools and AWS is a plus.
- Excellent verbal and written communication skills to present findings and recommendations to technical and non-technical stakeholders.
Why work at LeanData:
- LeanData covers employee insurance premiums up to 90%
- Stock options in LeanData for all full-time employees
- Flexible PTO
- 401K plan