$205K - $355K/yr
Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team ... machine learning at scale * Experience in building ML models for advertising products * Proven ...
$205K - $355K/yr
Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team ... machine learning at scale * Experience in building ML models for advertising products * Proven ...
$170K - $334K/yr
Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team ... machine learning at scale * Experience with recommendation systems, deep learning models, feed ...
Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ...
Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ...
Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ...
Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ...
Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ...
Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ...
Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ...
Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ...
Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ...
Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ...
Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ...
Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ...
Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ...
Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ...
Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ...
Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ...
Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ...
Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ...
Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ...
Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ...
OR · On-site +1
$95K - $115K/yr
They will be naturally curious about data purity, big data analysis, machine learning, and product ... Voluntary Life Insurance (Employee/Spouse/Child) * Employer Paid Short & Long Term Disability
OR · On-site +1
$95K - $115K/yr
They will be naturally curious about data purity, big data analysis, machine learning, and product ... Voluntary Life Insurance (Employee/Spouse/Child) * Employer Paid Short & Long Term Disability
OR · On-site +1
$91K - $169K/yr
BECU Cares volunteer time off + donation match To join our dynamic team, we require candidates to ... Design, develop, validate, and maintain statistical and machine learning models that support ...
OR · On-site +1
$91K - $169K/yr
BECU Cares volunteer time off + donation match To join our dynamic team, we require candidates to ... Design, develop, validate, and maintain statistical and machine learning models that support ...
OR · Remote
$122K - $161K/yr
... using advanced machine learning and LLMs. * Design cloud-native microservices and APIs that ... Voluntary benefits (hospital, accident, critical illness) * Employee Assistance Program (EAP)
OR · Remote
$122K - $161K/yr
... using advanced machine learning and LLMs. * Design cloud-native microservices and APIs that ... Voluntary benefits (hospital, accident, critical illness) * Employee Assistance Program (EAP)
OR · On-site +1
$130K - $142K/yr
Expertise in machine learning and machine learning pipelines preferred. * Solid foundation in ... Short term and long term disability insurance * 2 days paid time off for volunteering per year
OR · On-site +1
$130K - $142K/yr
Expertise in machine learning and machine learning pipelines preferred. * Solid foundation in ... Short term and long term disability insurance * 2 days paid time off for volunteering per year
$120K - $140K/yr
... and reliable to ensure machine learning (ML) success. But preparing AI training data is a ... volunteer time, and 100% paid parental leave. * 401(k) Retirement plan with company match.
$120K - $140K/yr
... and reliable to ensure machine learning (ML) success. But preparing AI training data is a ... volunteer time, and 100% paid parental leave. * 401(k) Retirement plan with company match.
$97K - $122K/yr
Exposure to machine learning pipelines and real-time data processing Benefits * Medical and Dental ... Additional coverages available - Pet Insurance, Critical Illness Insurance, and Voluntary Life & AD ...
$97K - $122K/yr
Exposure to machine learning pipelines and real-time data processing Benefits * Medical and Dental ... Additional coverages available - Pet Insurance, Critical Illness Insurance, and Voluntary Life & AD ...
$120K - $140K/yr
... and reliable to ensure machine learning (ML) success. But preparing AI training data is a ... volunteer time, and 100% paid parental leave. * 401(k) Retirement plan with company match.
$120K - $140K/yr
... and reliable to ensure machine learning (ML) success. But preparing AI training data is a ... volunteer time, and 100% paid parental leave. * 401(k) Retirement plan with company match.
OR · On-site +1
$75K - $140K/yr
BECU Cares volunteer time off + donation match To join our dynamic team, we require candidates to ... Develop, validate, and deploy statistical and machine learning models that help identify member ...
OR · On-site +1
$75K - $140K/yr
BECU Cares volunteer time off + donation match To join our dynamic team, we require candidates to ... Develop, validate, and deploy statistical and machine learning models that help identify member ...
$8.90 - $11.32
2% of jobs
$11.32 - $13.75
9% of jobs
$15.47 is the 25th percentile. Wages below this are outliers.
$13.75 - $16.17
19% of jobs
$16.17 - $18.60
13% of jobs
The median wage is $19.13 / hr.
$18.60 - $21.03
32% of jobs
$21.09 is the 75th percentile. Wages above this are outliers.
$21.03 - $23.45
9% of jobs
$23.45 - $25.88
4% of jobs
$25.88 - $28.30
4% of jobs
$28.30 - $30.73
0% of jobs
$30.73 - $33.16
4% of jobs
$33.16 - $35.58
3% of jobs
$8
$20
$35
To thrive as a Volunteer Machine Learning professional, you need a solid understanding of machine learning concepts, data analysis, and basic programming skills, typically demonstrated through coursework, personal projects, or relevant certifications. Familiarity with tools such as Python, TensorFlow, scikit-learn, and collaborative platforms like GitHub is often expected. Strong communication, collaboration, and adaptability are vital for contributing effectively within diverse volunteer teams. These skills and qualities enable volunteers to make meaningful technical contributions while supporting the goals of nonprofit or research-focused projects.
As a Volunteer Machine Learning contributor, you may work on a wide variety of tasks such as preparing and cleaning datasets, developing or enhancing machine learning models, conducting data analysis, and documenting results for open-source or nonprofit initiatives. Projects can range from building predictive models for social impact organizations to supporting data-driven research or assisting with educational outreach. You’ll typically collaborate remotely with other volunteers, data scientists, and project managers, often using shared code repositories and communication tools. This role provides valuable hands-on experience and networking opportunities within the growing field of machine learning.
A Volunteer Machine Learning job involves contributing to machine learning projects without monetary compensation, often for nonprofits, open-source initiatives, or research. Volunteers may help with data preprocessing, model training, evaluation, or deployment. It’s a great opportunity to gain hands-on experience, collaborate with professionals, and apply ML skills to meaningful causes.
Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com.
Meet Your Future Neighbors
At Nextdoor, machine learning is one of the most important teams we are growing. Machine learning is starting to transform our product through personalization, driving major impact across different parts of our platform, including newsfeed, notifications, ad relevance, connections, search, and trust. Our machine learning team is lean but hungry to drive even more impact and make Nextdoor the neighborhood hub for local exchange. We believe that ML will be integral to making Nextdoor valuable to our members. We also believe that ML should be ethical and encourage healthy habits and interaction, not addictive behavior. We are looking for great engineers who believe in the power of the local community to empower our members to make their communities great places to live.
At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we're looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs.
We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London.
The Impact You'll MakeCompensation, benefits, perks, and recognition programs at Nextdoor come together to create our total rewards package. Compensation will vary depending on your relevant skills, experience, and qualifications.
The starting salary for this role is expected to range from $205,000 to $355,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. The salary range will be determined by the candidate's geographic location.
We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date will take place within 3 months of your start date.
When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care.
At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.
For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here.
#LI-Hybrid #LI-RemoteSourced by ZipRecruiter
Internet and it
501 - 1,000 Employees
San Francisco, CA, US
2010