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Contract Machine Learning Startup Jobs in California

Machine Learning Engineer

Los Angeles, CA · On-site

$150K - $180K/yr

You will join the Signals and Systems group where you will be developing machine learning solutions ... required by government contract. Travel RequirementsNone Relocation ProvidedNone Position ...

Machine Learning Engineer

San Francisco, CA · On-site +1

$164K - $266K/yr

... contract lifecycle management (CLM). What you'll do As a Machine Learning Engineer on the AI ... Platform team, you will design and build the foundational infrastructure that powers Docusign ...

Machine Learning Engineer

San Francisco, CA · On-site

$164K - $266K/yr

... contract lifecycle management (CLM). What you'll do As a Machine Learning Engineer on the AI ... Platform team, you will design and build the foundational infrastructure that powers Docusign ...

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $400K/yr

About the role We're looking for Machine Learning Engineers to help build our platform for training ... Startup or frontier lab experience in fast-moving teams. Our values Goodfire is looking for ...

Machine Learning Engineer - Brand Intelligence Predict The Opportunity Join us at Adobe as a ... startup inside the company whose products every brand on Earth already uses. About Adobe Adobe ...

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Senior Machine Learning Engineer Location: San Francisco About Hum.ai Hum.ai is building planetary ... Hum is a seed-funded startup on a mission to create positive impact through earth observation and ...

Machine Learning Engineer - Brand Intelligence Predict The Opportunity Join us at Adobe as a ... startup inside the company whose products every brand on Earth already uses. About Adobe Adobe ...

Machine Learning Engineer - Brand Intelligence Predict The Opportunity Join us at Adobe as a ... startup inside the company whose products every brand on Earth already uses. About Adobe Adobe ...

Machine Learning Engineer - Brand Intelligence Predict The Opportunity Join us at Adobe as a ... startup inside the company whose products every brand on Earth already uses. About Adobe Adobe ...

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Contract Machine Learning Startup information

What are some common challenges faced by machine learning professionals working on a contract basis at startups?

Machine learning professionals working as contractors at startups often face challenges such as rapidly changing project scopes, limited access to large datasets, and the need to quickly adapt to new tools and frameworks. Startups typically move fast, so contractors must be comfortable with ambiguity and prioritize delivering value in short timeframes. Additionally, they may need to collaborate closely with cross-functional teams, such as product managers and engineers, to ensure that machine learning solutions align with business goals.

What is the difference between Contract Machine Learning Startup vs Data Scientist?

AspectContract Machine Learning StartupData Scientist
CredentialsRelevant degrees, certifications in ML/AITypically similar credentials, often with advanced degrees
Work EnvironmentProject-based, startup setting, flexible hoursOffice or remote, corporate or research settings
Employer & IndustryStartups in tech, AI, or data-driven sectorsVaried industries including tech, finance, healthcare
Search & Comparison IntentUnderstanding contract roles in ML startupsExploring data science career options

Contract Machine Learning Startup roles focus on short-term, project-based work within startup environments, often requiring specialized skills in ML and AI. Data Scientists typically work in more established companies or research settings, with similar credentials but often in a full-time capacity. Both roles demand strong technical backgrounds, but contract roles offer flexibility and varied projects, while Data Scientists may have more stability and broader responsibilities.

What are the key skills and qualifications needed to thrive in a Contract Machine Learning Startup role, and why are they important?

Success in a Contract Machine Learning Startup role generally requires expertise in machine learning algorithms, data analysis, and a solid background in computer science or related fields. Familiarity with programming languages such as Python or R, experience with ML frameworks like TensorFlow or PyTorch, and knowledge of cloud platforms (e.g., AWS, GCP) are typically expected. Strong problem-solving, adaptability, and effective communication help professionals collaborate with clients and respond to rapidly changing project requirements. These skills and qualities are vital to deliver innovative, scalable solutions in fast-paced, outcome-driven startup environments.

What is a Contract Machine Learning Startup?

A Contract Machine Learning Startup is a company or team that provides machine learning solutions and services to clients on a contract basis. Instead of developing their own products, these startups typically work with other businesses to build custom machine learning models, analyze data, and help integrate AI technologies into existing workflows. They may offer expertise in areas such as natural language processing, computer vision, or predictive analytics, and usually operate on short-term or project-based contracts. This approach allows client companies to access specialized knowledge without hiring full-time data scientists or engineers.
What are the most commonly searched types of Machine Learning Startup jobs in California? The most popular types of Machine Learning Startup jobs in California are:
What are popular job titles related to Contract Machine Learning Startup jobs in California? For Contract Machine Learning Startup jobs in California, the most frequently searched job titles are:
What job categories do people searching Contract Machine Learning Startup jobs in California look for? The top searched job categories for Contract Machine Learning Startup jobs in California are:
What cities in California are hiring for Contract Machine Learning Startup jobs? Cities in California with the most Contract Machine Learning Startup job openings:

Staff Machine Learning Engineer

Coupang

Mountain View, CA

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Job description

We exist to wow our customers. We know we're doing the right thing when we hear our customers say, "How did we ever live without Coupang?" Born out of an obsession to make shopping, eating, and living easier than ever, we're collectively disrupting the multi-billion dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.

We are proud to have the best of both worlds - a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what's possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.

Role Overview

As our Staff Machine Learning Engineer forCoupang Media Group, Ads Quality, you will be responsible for developing, designing machine learning models, optimization algorithms and new product features for our advertising platform. 

The Coupang Media Group (CMG) is responsible for providing vendors that sell their products on Coupang a host of marketing products and services. We launched Product Ads performance advertising marketplace late in 2018. We have grown rapidly to over 10,000 active advertisers and 150M daily ad impressions in only 5 months' time. Our group is responsible for advertising brands and products inside our e-commerce website. To get an idea of how valuable that is, both Alibaba and Amazon make more money on advertisingthan on selling products. 

This is an opportunity to be part of building up a new development organization with strong revenue potential inside a successful company. We're building full-stack engineering teams to handle large scale advertising problems, including real-time behavioral targeting, auctioning and bidding systems and search based advertising. 

We are in the growth phase of the organization, so you'll be a part of managing the transition from growth phase to enterprise processes. 

In this role you will be responsible for innovating and building our new ad quality stack for our ads platform and eventually extend it into a full ad exchange, DSP, and SSP. We currently handle about 1bn impressions per day from internal traffic alone. 

What You Will do

  • Design features and build large-scale machine learning models and systems to improve ad targeting, relevance, ranking, and engagement 
  • Design and implement large-scale ML systems for search ranking, semantic retrieval, query understanding, and personalized product discovery using state-of-the-art techniques such as transformer-based models, contrastive learning, and vector search
  • Drive innovation in search relevance and user intent modeling using large language models (LLMs), embedding-based retrieval, and multi-modal learning
  • Build and optimize ML pipelines using tools such as Apache Spark, Airflow, Kubeflow, and MLflow, ensuring reproducibility, scalability, and operational excellence
  • Define and track key performance metrics to evaluate model impact and identify high[1]leverage opportunities for improvement
  • Collaborate cross-functionally with product, engineering, and data science teams to align technical solutions with business goals and customer experience
  • Mentor and grow engineering talent, fostering a culture of technical excellence, experimentation and continuous learning

Basic Qualifications

  • Bachelor's degree in computer science, electrical engineering, mathematics, statistics or closely related fields
  • 4 years of professional experience in applied machine learning
  • Experience in machine learning, deep learning, and statistical modeling
  • Proficiency in Python and/or Java, with experience in building production grade ML systems

Preferred Qualifications

  • Master's or PhD in relevant technical fields
  • Experience with search systems, information retrieval or recommendation engines
  • Experience with LLMs, embeddings, and vector search technologies
  • Experience with cloud platforms such as AWS, Google Cloud Platform including services like Vertex AI, BigQuery or SageMaker
  • Experience working in startup or high-growth environments
  • Proven ability to lead-cross-functional teams and deliver results in a multicultural, global organization
  • Hands-on experience with modern ML frameworks such as TensorFlow, PyTorch, Scikit[1]learn, Keras, XGBoost, LightGMB, and H2o.ai
  • Experience with ML lifecycle tools such as MLflow, Kubeflow, Weights & Biases, or Amazon SageMaker
  • Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders
  • Demonstrated ability to work independently and manage ambiguity in fast-paced environments

Pay & Benefits

Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation.

The base pay for Staff position ranges from $152K/year to $261K/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

General Description of All Benefits

  • Annual bonus is 0-20% of the base salary
  • Medical/Dental/Vision/Life, AD&D insurance
  • Flexible Spending Accounts (FSA) & Health Savings Account (HSA)
  • Long-term/Short-term Disability
  • Employee Assistance Program (EAP) program
  • 401K Plan with Company Match
  • 18-21 days of the Paid Time Off (PTO) a year based on the tenure
  • 12 Public Holidays
  • 6 weeks Paid Parental leave
  • Pre-tax commuter benefits
  • MTV - [Free] Electric Car Charging Station

General Description of Other Compensation

"Other Compensation" includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale.

Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race (including traits historically associated with race, including but not limited to hair texture and protective hair styles), color, religion, religious creed (including religious dress and grooming practices), sex or gender (including pregnancy, childbirth, breastfeeding, and medical conditions related to pregnancy, childbirth or breastfeeding), gender identity, gender expression, sexual orientation, ,ancestry, national origin (including language use restrictions), age (40 and over), physical or mental disability, medical condition, genetic information, HIV/AIDS or Hepatitis C status, family status (including but not limited to marital or domestic partnership status), military or veteran status, use of a trained dog guide or service animal, political activities or affiliations, ancestry, citizenship, family and medical leave status, status as a victim of any violent crime, or any other characteristic or class protected by the laws or regulations in the locations where we operate.

Recruitment Process and Others

Recruitment Process

  • Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview - Offer
  • The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
  • Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

  • This job posting may be closed prior to the stated end date for application if all openings are filled.
  • Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
  • Those eligible for employment protection (recipients of veteran's benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.

Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/

If you need assistance and/or a reasonable accommodation in the application of recruiting process due to a disability, please contact us at usrecruiting@coupang.com.

Requisition ID: R0072711