Jobs
>
Denver

    Staff+ Machine Learning Engineer - Denver, United States - Handshake

    Show more Collapse job
    Default job background
    Description
    Everyone is welcome at Handshake.

    We know diverse teams build better products and we are committed to creating an inclusive culture built on a foundation of respect for all individuals.

    We strongly encourage candidates from non-traditional backgrounds, historically marginalized or underrepresented groups to apply.

    Your impact


    Handshake is hiring Staff, Senior Staff, and Principal Machine Learning Engineers with a focus on Generative AI reporting to the Vice President of Engineering of the Data organization.


    AI is the future and we are excited to invest in providing AI resources for our users on our platform.

    Is it possible to thoughtfully design a responsible, Generative AI-driven product, that can help our students progress from educational aspirations to career achievements? In this role, you will work on tackling that goal as part of a lean, high-visibility team.

    You will be responsible for helping advance our AI product and infrastructure vision towards our mission of democratizing opportunity for millions of students on Handshake.

    Your role


    You will be a Force Multiplier - setting technical direction, shaping engineering culture, identifying and adopting industry best practices, designing effective partnerships across the company, mentoring and coaching peers, and more.

    You will be a Leader - enabling effective collaboration, high-quality execution, and technical excellence across the Data organization

    You will be an Innovator - developing algorithms and Machine Learning pipelines that connect users across the Handshake marketplace; from students looking for their first jobs and internships to employers sourcing candidates for high-priority roles.

    You will be a Collaborator - being an effective partner to product managers; you will work with product managers in driving new user experiences through Machine Learning and Natural Language Processing and build experiments that drive key product decisions and provide invaluable insights.

    Your Experience


    You are an experienced, hands-on senior engineering leader with extensive experience identifying problems, coming up with technical solutions, and driving projects to completion.

    You care about culture, mentorship, and collaboration just as much as you care about coding, architecture, and technical design.

    You have an extreme user-focus, you are comfortable with ambiguity, you can drive alignment, and you make thoughtful data-driven decisions.

    Basic Qualifications
    Bachelor's degree in Computer Science or related technical field or equivalent technical experience.
    4 years of industry experience

    Preferred Qualifications:
    MS/Ph.
    D. in Machine Learning, Statistics or a related field
    7+ years of industry experience.
    Experience with modern Machine Learning, Natural Language Processing and Text-mining technologies.
    Experience with large-scale distributed systems, server-side engineering, and ML applications in consumer products.
    Experience using analytics/ML tools such as Python, R, Spark, BigQuery SQL, or Snowflake.
    Experience in any of Golang, Java, Python, or Ruby.
    Experience with distributed computing frameworks such as Hadoop or Spark, or distributed training of Machine Learning models.
    Experience building applications atop of IAAS (Google Cloud Platform, Amazon Web Services, Azure Cloud Services, etc.)
    Experience in optimizing multi-sided marketplaces using ML algorithms.
    Experience working directly with cross-functional teams such as product management, analytics, engineering, and design.
    Excellent communication skills — ability to succinctly communicate results and tell compelling stories with data to an out-of-domain audience (e.g. presenting findings and deep-dives to senior leadership).
    Ability to diagnose technical problems, debug code, and automate routine tasks

    Compensation Range

    $210,000-310,000 Note: This range covers 3 levels

    Want to learn more about what it's like to work at Handshake? Check out these interviews from our team members

    For cash compensation, we set standard ranges for all

    U.S.-based roles

    based on function, level, and geographic location, benchmarked against similar stage growth companies.

    In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location.

    Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed above.

    About Us

    Handshake is the #1 place to launch a career with no connections, experience, or luck required.

    The platform connects up-and-coming talent with 750,000+ employers - from Fortune 500 companies like Google, Nike, and Target to thousands of public school districts, healthcare systems, and nonprofits.

    In 2022 we announced our $200M Series F funding round.

    This Series F fundraise and valuation of $3.5B will fuel Handshake's next phase of growth and propel our mission to help more people start, restart, and jumpstart their careers.

    When it comes to our workforce strategy, we've thought deeply about how work-life should look here at Handshake.

    With our Hub-Based Remote Working strategy, employees can enjoy the flexibility of remote work, whilst ensuring collaboration and team experiences in a shared space remains possible.

    Handshake is headquartered in San Francisco with offices in Denver, New York, London, and Berlin and teammates working globally.

    Check out our careers site to find a hub near you

    What we offer

    At Handshake, we'll give you the tools to feel healthy, happy and secure.

    Benefits Below Apply To Employees In Full-time Positions.

    • Equity and ownership in a fast-growing company.
    • 16 Weeks of paid parental leave for birth giving parents & 10 weeks of paid parental leave for non-birth giving parents.
    • Comprehensive medical, dental, and vision policies including LGTBQ+ Coverage. We also provide resources for Mental Health Assistance, Employee Assistance Programs and counseling support.
    • Handshake offers $500/£360 home office stipend for you to spend during your first 3 months to create a productive and comfortable workspace at home.
    • Generous learning & development opportunities and an annual $2,000/£1,500/€1,850 stipend for you to grow your skills and career.
    • Financial coaching through Origin to help you through your financial journey.
    Monthly internet stipend and a brand new MacBook to allow you to do your best work.

    • Monthly commuter stipend for you to expense your travel to the office (for office-based employees).
    • Free lunch provided twice a week across all offices.
    • Referral bonus to reward you when you bring great talent to Handshake.
    (US-specific Benefits, In Addition To The First Section)

    • 401k Match:
    Handshake offers a dollar-for-dollar match on 1% of deferred salary, up to a maximum of $1,200 per year.

    • All full-time US-based Handshakers are eligible for our flexible time off policy to get out and see the world. In addition, we offer 8 standardized holidays, and 2 additional days of flexible holiday time off. Lastly, we have a Winter #ShakeBreak, a one-week period of Collective Time Off.
    (UK-specific Benefits, In Addition To The First Section)

    • Pension Scheme:

    Handshake will provide you with a workplace pension, where you will make contributions based on 5% of your salary.

    Handshake will pay the equivalent of 3% towards your pension plan, subject to qualifying earnings limits.

    • Up to 25 days of vacation to encourage people to reset, recharge, and refresh, in addition to 8 bank holidays throughout the year.
    • Regular offsites each year to bring the team together + opportunity to travel to our HQ in San Francisco.
    • Discounts across various high street retailers, cinemas and other social activities exclusively for Handshake UK employees.
    (Germany-specific Benefits, In Addition To The First Section)

    • 25 days of annual leave + we have a Winter #ShakeBreak, a one-week period of Collective Time Off across the company.
    • Regular offsites each year to bring the team together + opportunity to travel to our HQ in San Francisco once a year.
    • Urban sports club membership offering access to a diverse network of fitness and wellness facilities.
    • Discounts across various high street retailers, cinemas and other social activities exclusively for Handshake Germany employees.
    For roles based in Romania : Please ask your recruiter about region specific benefits.

    Looking for more? Explore our mission, values and comprehensive US benefits at
    #J-18808-Ljbffr

    We have other current jobs related to this field that you can find below


  • havenly Denver, United States Full time

    At Havenly, we believe that everyone deserves a beautiful home they love. Founded in 2014, we've grown into the #1 interior design service in the country. · We're reinventing the way that people design and shop for their homes, making custom furniture and interior design delightf ...


  • Advanced Space Denver, United States

    The team at Advanced Space is leading humanity back to the Moon and pioneering innovative solutions in the space industry. Based in Westminster Colorado, this incredible team is looking for Machine Learning Engineer who's eager to push the state of the art in the aerospace indust ...


  • Havenly Denver, United States

    At Havenly, we believe that everyone deserves a beautiful home they love. Founded in 2014, we've grown into the #1 interior design service in the country. · We're reinventing the way that people design and shop for their homes, making custom furniture and interior design delightf ...


  • Actalent Denver, United States

    Looking for a Machine Learning/ AI Engineer position.... · I have just the job for you · Are you an AI/ML enthusiast seeking exciting challenges? We're looking for an AI/ML Engineer to join our team. In this role, you'll tackle a diverse range of problems, from object detection a ...


  • HP Denver, United States

    Locations include Spring, Texas (preferred location), US remote, Porto Alegre Brazil, and Guadalajara Mexixo. · HP occasionally offers work authorization sponsorship for critical need roles. However, this opportunity currently does not offer work authorization sponsorship. · The ...


  • EquipmentShare Denver, United States

    EquipmentShare is Hiring a Senior Machine Learning Engineer · EquipmentShare is searching for a Senior Machine Learning Engineer to join our team. This position is fully remote. · What Youll Do as a Senior Machine Learning Engineer · Despite having been fundamentally altered b ...


  • Pinnacol Denver, United States

    Pinnacol Assurance does just one thing, and does it better than anyone: provide caring workers' compensation protection to Colorado employers and employees. And while we may be a little biased, we believe that our work shapes communities and changes lives. · We have big hearts a ...


  • High Alpha Denver, United States

    High Alpha is hiring key team members for a new B2B SaaS startup. This position will be with High Alpha's latest company, which is pre-public launch. You'll work closely with the internal High Alpha team while reporting to the VP of Engineering. If you've ever been interested in ...


  • Ampstek Denver, United States

    Job ***** Senior Machine Learning Operations Engineer***** [Remote] and Timing EST. FULLTIMEJob ** · As a Senior Machine Learning Operations (MLOps) Engineer, you will be instrumental in deploying robust, scalable machine learning solutions. You will ensure these are tailored to ...


  • Nelnet Denver, United States

    Nelnet is a diversified and innovative company committed to enriching lives through the power of service as a student loan servicer, professional services company, consumer loan originator and servicer, payments processor, renewable energy solutions, and K-12 and higher education ...


  • Booz Allen Hamilton Denver, United States

    As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As an Artificial Engineer, Machine Learning, In ...


  • Booz Allen Hamilton Denver, United States

    Job Number: R0199260 · Artificial Intelligence and Machine Learning Engineer The Opportunity: · As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. In an increasingly connected world, massive amounts of struct ...


  • Frontera Health, Inc. Denver, United States

    Job Description · Job DescriptionFrontera Health is developing a tech-enabled platform to provide pediatric therapies for rural families in need. Our platform leverages AI/ML to establish the foundational video-based data model for early intervention and developmental disorders. ...


  • EquipmentShare Denver, United States

    EquipmentShare is Hiring a Senior Machine Learning Engineer · EquipmentShare is searching for a Senior Machine Learning Engineer to join our team. This position is fully remote. · What Youll Do as a Senior Machine Learning Engineer · Despite having been fundamentally altered b ...


  • DCCA Littleton, United States

    Machine Learning Engineer / Specialist · Location Littleton, CO · Job Code 2019 · # of Openings 1 · Apply Now ) · DCCA is a veteran-owned IT business specializing in providing innovative solutions to a variety of government agencies and commercial enterprises since 1982. DCCA is ...


  • Durable Boulder, United States

    About Us · At Durable, we're realizing a future where anyone, regardless of technical expertise, can create custom software tailored to their unique needs. Our mission is to deliver deploy-ready software that not only meets user requirements but also earns their trust, all withou ...


  • Nelnet Centennial, United States Full time

    JOB RESPONSIBILITIES · : · 1. Lead and mentor a small team of developers, fostering a collaborative and innovative environment.2. Partner with Product and Data Solutions teams to design, build, and deliver machine learning models and components to address business challenges. · 3 ...


  • Lockheed Martin Corporation Littleton, United States

    Job Description · The Autonomy/AI ML Software Engineer is responsible for developing, integrating, and deploying autonomy and artificial intelligence algorithms for mission systems and production and maintenance operations. Translates requirements and develops code, determining ...


  • Skale Talent Boulder, United States

    An exciting generative AI startup is growing its machine learning team. We're hiring a Machine Learning Engineer to work on complex problems with large language models and program synthesis. The founding team have a successful track record. · You'll need to have experience in end ...


  • DURABLE Boulder, United States

    About Us · At Durable, we're realizing a future where anyone, regardless of technical expertise, can create custom software tailored to their unique needs. Our mission is to deliver deploy-ready software that not only meets user requirements but also earns their trust, all witho ...