Remote

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

At Handshake, we are assembling a diverse team of dynamic engineers who are passionate about creating high-quality, impactful products. As an ML Infrastructure Engineer, you will play a key role in driving the architecture, implementation, and evolution of our rapidly growing Machine Learning platform. Your technical expertise and leadership will be instrumental in helping millions of students discover meaningful careers, irrespective of their educational background, network, or financial resources.

Our primary focus is on building scalable ML infrastructure that empowers our Machine Learning and Relevance teams to iterate quickly and rapidly deploy ML solutions into various surfaces in our product stack.

Your experience

Strong software engineering foundations: Experience with object-oriented and functional programming languages in production (Python, Golang), software design patterns, testing strategies and dev/ops practices (CI/CD).
Cloud platform expertise: Hands-on experience with cloud-based technologies. This includes tools like BigQuery, Cloud Storage, infrastructure-as-code tooling (Terraform) and an ML stack (Vertex, SageMaker, Ray, or similar) for handling machine learning workflows.
ML aptitude: Experience building product features with ML frameworks like Scikit-Learn, PyTorch, TensorFlow and big data tooling like Spark.
Problem-solving prowess: Outstanding problem-solving skills, with the ability to navigate complex machine learning infrastructure challenges and propose innovative, effective solutions.
Teamwork oriented: A collaborative approach to work, coupled with the ability to communicate complex machine learning concepts effectively to both technical and non-technical stakeholders, and take input from Relevance stakeholders to guide implementation details.

Bonus areas of expertise

ML infrastructure experience: Experience designing, implementing, and managing components of production ML infrastructure including:
- - Real-time/batch ML model prediction and inference
  - Cluster management and deployment, deployment of GPU based training jobs
  - Familiarity with vector search tooling (Elasticsearch, Pinecone, etc…)
  - Creating or developing Feature Store components (offline/online stores and feature registry technologies)
  - Building ML search or ML recommendations systems
Containerization and orchestration: Familiarity with containerization technologies like Docker and container orchestration platforms like Kubernetes.
Generative AI (LLMs): Familiarity working with large language models such as ChatGPT, LLaMa, or Bard for text generation and Natural Language Processing (NLP) tasks.
Streaming data processing: Experience with streaming data processing platforms such as Apache Beam or Apache Flink

Compensation range

$150,000-$190,000

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 at Handshake. With our hybrid-work model, employees benefit from collaboration and shared team experiences three days per week in our vibrant offices, and enjoy the flexibility of remote work two days per week. Handshake is headquartered in San Francisco, with offices in New York, London, and Berlin.

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.
🍼 Family support: We partner with Milk Stork to provide comprehensive 100% employer-sponsored lactation support to traveling parents and guardians. Parental leave coaching and support provided by Parentaly.

(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 + 5 days of 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.

Looking for more? Explore our mission, values and comprehensive US benefits at joinhandshake.com/careers.

Handshake is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or reasonable accommodation, please reach out to us at [email protected].

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Handshake is hiring a

Machine Learning Infrastructure Engineer