Talent.com

Entry level machine learning Jobs in Phoenix, AZ

Create a job alert for this search

Entry level machine learning • phoenix az

Last updated: 17 hours ago
Machine Learning Scientist

Machine Learning Scientist

WhatnotSan Francisco, CA, Los Angeles, CA, New York, NY, Phoenix, AZ, Seattle, WA, Denver, CO, Toronto, ON
$20,000.00 yearly
Whatnot is a livestream shopping platform and marketplace backed by Andreessen Horowitz, Y Combinator, and CapitalG.We’re building the future of ecommerce, bringing together community, shopping and...Show moreLast updated: 30+ days ago
  • Promoted
ENTRY LEVEL MANAGEMENT

ENTRY LEVEL MANAGEMENT

SimplyApplyTempe, AZ, United States
$75,000.00–$95,000.00 yearly
Full-time
We are seeking dedicated individuals to join our team as a Manager in Training.In this role, you will have the unique opportunity to learn from the best in our company and receive mentorship from o...Show moreLast updated: 1 day ago
  • Promoted
Machine Learning Internship

Machine Learning Internship

VirtualVocationsPhoenix, Arizona, United States
Internship
A company is looking for a Machine Learning Internship.Key ResponsibilitiesAssist in building and optimizing Retrieval-Augmented Generation workflowsHelp design and experiment with autonomous agent...Show moreLast updated: 1 day ago
  • Promoted
Accountant (Entry-Level)

Accountant (Entry-Level)

MacerichPhoenix, AZ, United States
Full-time
Accept overall responsibility and ownership of accounting and financial reporting matters for assigned properties.This includes understanding information received from other shared services departm...Show moreLast updated: 2 days ago
  • Promoted
Entry Level Data Entry Technician

Entry Level Data Entry Technician

Manpower Group Inc.Phoenix, AZ, United States
$22.00 hourly
Full-time
Our client in the semiconductor industry is seeking Entry-Level Data Entry Technicians to join their team.The ideal candidate will have the ability to type 25wpm or faster and have basic computer a...Show moreLast updated: 17 days ago
  • Promoted
Entry Level Irrigator

Entry Level Irrigator

Valley Tree Care LLCPhoenix, AZ, US
$17.00–$21.00 hourly
Full-time
Valley Tree Care is building an extraordinary Irrigation Division, and we looking for motivated and exceptional workers to join our team! You will have an incredible opportunity to grow your skills...Show moreLast updated: 30+ days ago
Staff Machine Learning Engineer

Staff Machine Learning Engineer

Home DepotARIZONA, US
$120,000.00–$190,000.00 yearly
Full-time
The Staff Machine Learning Engineer is responsible for joining a product team and contributing to the software design, algorithm design, and overall product lifecycle for a product that our users l...Show moreLast updated: 30+ days ago
  • Promoted
Recruiter - Entry Level

Recruiter - Entry Level

Motion RecruitmentPhoenix, AZ, United States
$50,000.00 yearly
Full-time
Join our company today to become a.As a recruiter, you'll work with clients to find the right candidates to fill their open positions. This role is located in down town Phoenix across from CityScape...Show moreLast updated: 2 days ago
Machine Learning

Machine Learning

UrBenchAZ, United States
Quick Apply
MessageBody"> Phoenix- Amex exp required ...Show moreLast updated: 7 days ago
  • Promoted
  • New!
Entry Level Management

Entry Level Management

The Carder AgencyTempe, AZ, United States
$75,000.00–$95,000.00 yearly
Full-time
We are seeking dedicated individuals to join our team as a Manager in Training.In this role, you will have the unique opportunity to learn from the best in our company and receive mentorship from o...Show moreLast updated: 18 hours ago
  • Promoted
Travel Data Entry - Entry Level

Travel Data Entry - Entry Level

Pinnacle Strategy PartnersPhoenix, AZ, United States
Travel Data Entry - Entry Level.Accurately input and update travel-related information into databases, spreadsheets, and other digital platforms, ensuring data integrity and confidentiality.This in...Show moreLast updated: 20 days ago
  • Promoted
  • New!
VICE PRESIDENT OF AI AND MACHINE LEARNING

VICE PRESIDENT OF AI AND MACHINE LEARNING

ConfidentialPhoenix, AZ, United States
Full-time
The successful candidate will be a hands-on leader with a strong technical background in machine learning, large language models, and data engineering. Key responsibilities for this role include lea...Show moreLast updated: 17 hours ago
  • Promoted
Entry Level Sales Representative

Entry Level Sales Representative

United SolarTempe, AZ, US
Full-time
United Solar, a leading Solar Sales Company, is seeking a talented and motivated Door to Door Sales Representative to join our team. As a Door to Door Sales representative, you will be responsible f...Show moreLast updated: 27 days ago
  • Promoted
Machine Learning Engineer

Machine Learning Engineer

BrooksourcePhoenix, AZ, United States
Full-time
Our Fortune 50 Healthcare Insurance client is seeking a highly skilled AI / ML Engineering resource to play a pivotal role in the development, expansion, operation, and maintenance of generative AI s...Show moreLast updated: 12 days ago
Machine Learning Engineer II

Machine Learning Engineer II

AxonScottsdale, Arizona, US
Are you passionate about AI? Do you love engineering solutions enabling fast, cutting-edge science? Are you eager to contribute to building products impacting the world for the greater good?.As a M...Show moreLast updated: 30+ days ago
  • Promoted
ENTRY LEVEL TECHNICIAN

ENTRY LEVEL TECHNICIAN

AutoNationScottsdale, AZ, United States
AutoNation - Job Posting Location [Automotive Mechanic / Auto Technician] As an Entry Level Technician at AutoNation, you'll : Perform vehicle maintenance work as outlined on the repair order with e...Show moreLast updated: 6 days ago
  • Promoted
Entry Level Sales

Entry Level Sales

Get Me HealthcareScottsdale, AZ, US
$75,000.00–$100,000.00 yearly
Full-time
GetMeHealthcare : Growing, Thriving, and Ready for 2025!.Customer Service & Sales Representative.Dental, Vision, Medical, Life, Paid Time Off available. Boca Raton, Florida (Headquarters) : .At Get...Show moreLast updated: 28 days ago
  • Promoted
Data Entry Clerk / Entry Level (Remote)

Data Entry Clerk / Entry Level (Remote)

Link Up OverseasPhoenix, AZ, United States
Remote
About the job Data Entry Clerk / Entry Level (Remote).Remote Entry-Level Data Entry Clerk Opportunity : Join Our Growing Team!. Are you a detail-oriented individual looking for an excellent entry poi...Show moreLast updated: 30+ days ago
Machine Learning Scientist

Machine Learning Scientist

WhatnotSan Francisco, CA, Los Angeles, CA, New York, NY, Phoenix, AZ, Seattle, WA, Denver, CO, Toronto, ON
30+ days ago
Salary
$20,000.00 yearly
Job description

Whatnot

Whatnot is a livestream shopping platform and marketplace backed by Andreessen Horowitz, Y Combinator, and CapitalG. We’re building the future of ecommerce, bringing together community, shopping and entertainment. We are committed to our values, and as a remote-first team, we operate out of hubs within the US, Canada, UK, Ireland, and Germany today.

We’re innovating in the fast-paced world of live auctions in categories including sports, fashion, video games, and streetwear. The platform couples rigorous seller vetting with a focus on community to create a welcoming space for buyers and sellers to share their passions with others.

And, we’re growing. Whatnot has been the fastest growing marketplace in the US over the past two years and we’re hiring forward-thinking problem solvers across all functional areas.

Role

We are looking for intellectually curious, highly motivated individuals to be foundational members of our Machine Learning and Data Platform team. You will partner across the company and use data to design scalable solutions based on a deep understanding of critical business goals. The ideal candidate will leverage data analysis, statistics and machine learning to lead initiatives end to end, including data & machine learning engineering.

What you'll do :

  • Build and help set direction across the entire machine learning development process to implement machine learning algorithms in production, including exploratory data analysis, data modeling, feature engineering, model training and tuning, testing, deployment, and monitoring.
  • Partner closely across the business to identify improvements and influence decisions using data science methodologies and tools.
  • Develop new production machine learning algorithms and systems that enrich the app experience with machine learning-powered experiences.
  • Contribute across the data science and machine learning development stack : idea development, opportunity sizing, prototyping, testing, and deployment.
  • Design and implement end-to-end data pipelines and data systems that support MLOps and business processes.
  • Build high quality communication devices such as dashboards, notebooks, documents, presentations to convey insights across a broad audience.
  • Define and advance standard methodologies within an experiment-driven culture.
  • Bachelor’s degree in Computer Science, a related field, or equivalent work experience.

Curious about who thrives at Whatnot? We’ve found that low ego, a growth mindset, and leaning into action and high impact goes a long way here.

As our next Machine Learning Scientist you should have 5+ years of experience, plus :

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, Software Engineering or related technical field., or equivalent work experience.
  • Industry experience with a track record of applying scientific methods to solve real-world problems on consumer scale data.
  • Experience leading work to develop and deploy machine learning- and data-based solutions in production.
  • Extensive experience with Python and SQL for data science, machine learning, and software development e.g. numpy, scipy, pandas, scikit-learn, PyTorch, LightGBM, Flask, FastAPI, Docker, Jupyter.
  • Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and product teams.
  • Comfortability with data warehouses and transformation tools such as Snowflake, dbt, Dagster.
  • Proficiency and experience in applied statistics and machine learning fields e.g. Experimentation and Causal Analysis, Recommendations, Fraud & Anomaly Detection, Natural Language, Computer Vision.
  • Firm grasp of visualization tools, interactive and self-serving, such as dashboards and notebooks.
  • Professionalism around collaborating in a remote working environment and well tested reproducible work.
  • Above average documentation and communication skills.
  • Compensation

    For US-based applicants : $178,000 - $235,000 / year + benefits + stock options

    The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity in the form of stock options.

    Benefits

  • Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
  • Health Insurance options including Medical, Dental, Vision
  • Work From Home Support $1,000 home office setup allowance$150 monthly allowance for cell phone and internet
  • Care benefits $450 monthly allowance on food$500 monthly allowance for wellness$5,000 annual allowance towards Childcare$20,000 lifetime benefit for family planning, such as adoption or fertility expenses
  • Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
  • Parental Leave 16 weeks of paid parental leave + one month gradual return to work
  • company leave allowances run concurrently with country leave requirements which take precedence.
  • Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.