2805 Data Scientists jobs in San Mateo
Machine Learning Data Scientists
Posted 14 days ago
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Jobs for Humanity is collaborating with Upwardly Global and with Uber to build an inclusive and just employment ecosystem. We support individuals coming from all walks of life.
Company Name: Uber
Job Description
About the Team Across thousands of storefronts each with thousands of products, Uber Grocery needs to decide exactly what products to show you, how to price them, and how to balance the tricky tradeoffs that come with delivery logistics. We build systems that deeply understand our products, users, and merchants to optimize the marketplace for all parties. Grocery & Retail is one of Uber's biggest new bets. Since launching in 2020, we've achieved an annual run rate of $7 billion in global gross bookings and integrated two strategic acquisitions, Cornershop and Drizly. Our team builds across the end-to-end grocery experience, including consumer growth, fulfillment flows, and catalog management.
What you will do
- Work closely with ML teams to design algorithms and uncover opportunities to improve ranking and personalization.
- Design and analyze large-scale experiments on grocery users in the Eats app to discover insights that improve our discovery platforms.
- Collaborate with Product, Engineering, Design, and other cross-functional partners to understand user behaviors to inform future product strategies.
- Present findings to senior management to inform business decisions.
Basic Qualifications
- 5+ years of industry experience working in personalization or search
- Experience in algorithm prototyping and development.
- Experience working with funnel optimization, user segmentation, cohort analysis, and lifetime value forecasting.
- Ability to use Python/PySpark for exploratory data analysis and modeling.
- Strong communication skills across technical, non-technical, and executive audiences.
Preferred Qualifications
- Ph.D., M.S., or Bachelor's degree in Statistics, Economics, Operations Research, or other quantitative fields.
- Experience in a technical leadership role.
- Experience in modern deep learning architectures and probabilistic models.
- Experience in modern generative AI, such as transformer architectures, diffusion models and prompting.
- Experience guiding and mentoring other Scientists.
- Excellent communication skills across technical, non-technical, and executive audiences.
For New York, NY-based roles:
The base salary range for this role is USD$74,000 per year - USD 193,500 per year.
For San Francisco, CA-based roles:
The base salary range for this role is USD 174,000 per year - USD 193,500 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link:
Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form. Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
Machine Learning Data Scientists (San Francisco)
Posted 1 day ago
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Get AI-powered advice on this job and more exclusive features.
Pay found in job postRetrieved from the description.
Base pay range$174,000.00/yr - $93,500.00/yr
Jobs for Humanity is collaborating with Upwardly Global and with Uber to build an inclusive and just employment ecosystem. We support individuals coming from all walks of life.
Company Name: Uber
About the Team Across thousands of storefronts each with thousands of products, Uber Grocery needs to decide exactly what products to show you, how to price them, and how to balance the tricky tradeoffs that come with delivery logistics. We build systems that deeply understand our products, users, and merchants to optimize the marketplace for all parties. Grocery & Retail is one of Uber's biggest new bets. Since launching in 2020, we've achieved an annual run rate of 7 billion in global gross bookings and integrated two strategic acquisitions, Cornershop and Drizly. Our team builds across the end-to-end grocery experience, including consumer growth, fulfillment flows, and catalog management.
What you will do
- Work closely with ML teams to design algorithms and uncover opportunities to improve ranking and personalization.
- Design and analyze large-scale experiments on grocery users in the Eats app to discover insights that improve our discovery platforms.
- Collaborate with Product, Engineering, Design, and other cross-functional partners to understand user behaviors to inform future product strategies.
- Present findings to senior management to inform business decisions.
- 5+ years of industry experience working in personalization or search
- Experience in algorithm prototyping and development.
- Experience working with funnel optimization, user segmentation, cohort analysis, and lifetime value forecasting.
- Ability to use Python/PySpark for exploratory data analysis and modeling.
- Strong communication skills across technical, non-technical, and executive audiences.
- Ph.D., M.S., or Bachelor's degree in Statistics, Economics, Operations Research, or other quantitative fields.
- Experience in a technical leadership role.
- Experience in modern deep learning architectures and probabilistic models.
- Experience in modern generative AI, such as transformer architectures, diffusion models and prompting.
- Experience guiding and mentoring other Scientists.
- Excellent communication skills across technical, non-technical, and executive audiences.
The base salary range for this role is USD 174,000 per year - USD 193,500 per year.
For San Francisco, CA-based Roles
The base salary range for this role is USD 174,000 per year - USD 193,500 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link:
is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form. Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role. Seniority level
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Other
- Industries Non-profit Organizations
Referrals increase your chances of interviewing at Jobs for Humanity by 2x
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#J-18808-LjbffrFounding Data Scientists and Machine Learning Engineers (San Francisco)
Posted 1 day ago
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Direct message the job poster from Palladio AI
Seeking Founding Data Scientists and Machine Learning Engineers
Imagine Multiplying Your Impact
You’ve unlocked major wins in your career - you’ve shipped models, moved key metrics, and proved what great data science and machine learning can do. You’ve bent the curve for products used by millions of people.
Now, picture the idea of leveling up the entire app ecosystem by scaling your impact across many products and companies so every app in your pocket becomes smarter, more engaging, and more essential to the people who rely on it.
You can help product teams iterate faster, delight users, and grow revenue, all because of the intelligence you build once and deploy everywhere.
We know this ambition: we’ve done this again and again at places like Uber, Apple, Meta, Google, and Chime. We’ve had tens of billions of dollars of impact for products essential to billions of people, and we’re ready to scale our impact to the next level.
If this sounds like the next chapter you’re looking for, read on.
Dashboards describe the past; teams need their next move . Palladio AI is the intelligence layer between raw data and decisive action, surfacing product opportunities that turn into real growth levers and guiding action so product teams iterate with confidence and velocity instead of sifting through noise.
What You’ll Shape
Our team is building core systems in behavioral modeling, causal inference, forecasting, agentic platforms, and more. You’ll help extend those domains: building ML and AI models to detect and surface product opportunities, shipping learning loops that improve themselves with every release. In short, you’ll turn first-principles data science into a product that scales across industries.
More than any technical challenge, you’ll build a platform that helps real people make better decisions, turning data into clarity and clarity into progress.
About You
- Craft and excellence. You dive into messy data, prototype quickly, and iterate until the insight sings.
- Impact mindset. 6+ years in production ML/DS; you balance scientific rigor with “it ships today, iteration on the way” pragmatism.
- Owner at heart. Zero-to-one energizes you; you’d rather set the standard than inherit one.
- Product voice. You can walk a PM through trade-offs as confidently as you tune a model.
- Customer-obsessed. You connect with the user’s pain, measure success in user outcomes, and translate findings into product wins.
- Beginner’s Mind. You stay hungry to learn, because better ideas are always out there.
Our Team
Our team has shaped the design, data, and systems behind some of the world’s most iconic products. We’re builders who founded Uber’s Michelangelo, led data and design teams at Apple, Meta, Google, and Chime, and shipped products used by billions. We’ve had tens of billions of dollars of impact. Backed by top-tier investors, we’re now channeling that experience into a focused, user-obsessed startup so every product team can tap the same class of intelligence at scale.
Why Join Now
This is the moment to have an outsized impact. You'll work directly with founders and early customers to define not just features but also the fundamental approach to how product intelligence should work. You'll see your ideas in production quickly, affecting real decisions for products used by millions.
We're building a company that values clarity, craft, and impact. If those values resonate with you, we'd love to connect.
Ready for the next level of impact?
Reach us at
Let’s build breakthroughs together!
Seniority level- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Engineering and Information Technology
- Industries Software Development
Referrals increase your chances of interviewing at Palladio AI by 2x
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#J-18808-LjbffrCloud Billing Automation and Data Analysis
Posted today
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**1. If you are a first time user, please create your candidate login account before you apply for a job. (Click Sign In > Create Account)**
**2. If you already have a Candidate Account, please Sign-In before you apply.**
**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 ( .
Data Scientist / Machine Learning
Posted 7 days ago
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Immediate need for a Data Scientist/Machine Learning/AI Expert Required Skills Data science experience, including statistics, machine learning models, and deep learning networks Proficiency in Python Experience with Spark / PySpark Required Experience (3+ years; Masters or PhD is a plus) Proficiency in Python Expertise in using Apache Spark and SparkML Experience with TensorFlow and/or PyTorch Proficiency in Keras Desirable: experience with probabilistic programming libraries such as PyMC3, Edward, or Figaro Strong analytical and problem-solving skills Excellent oral and written communication skills Ability to lead cross-functional, multi-disciplinary teams Ability to work collaboratively to solve challenging business problems Company Information ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability, and veterans. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status, or any other protected status. We comply with all applicable laws relating to labor and employment, equal opportunity, and employment eligibility. U.S. citizenship or lawful permanent residency is not required unless mandated by law or contract. #J-18808-Ljbffr
Machine Learning - Data Scientist
Posted today
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Job Description
**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 today
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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.
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Staff Data Scientist (Machine Learning)
Posted today
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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 havent 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 race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, 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 disability, please contact us at
About Jerry.ai:
Jerry.ai is Americas 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 were 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 thats disrupting a massive market.
#J-18808-LjbffrStaff 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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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