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Senior Machine Learning Engineer
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Calendly·USA·27 авг.

Senior Machine Learning Engineer

от 23 996 $
на 472% выше медианы рынка
≈ от 2,1 млн ₽
🌍 УдалённоSeniorПолная занятость🌐 Глобал
Навык востребован (python).
Нажмите на сигнал, чтобы увидеть, на чём он основан

Наша компания

What’s so great about working on Calendly’s Data Science & Machine Learning team? We make things possible for our customers through innovation in data, analytics and AI. Why do we need you? Well, we are looking for a Machine Learning Engineer who will deliver business value by building new AI Products for Calendly’s customers. You will report to the head of AI and will be responsible for building and operating AI-powered features that create magical experiences for our customers. Builds new AI products for Calendly’s customers, bringing new capabilities to life. Works closely with product, design, marketing, customer success, and engineering teams to implement AI solutions to real customer problems. Drives innovation and makes an impact. You will join a high performing AI team and be an integral part of building new, AI based experiences for internal and external customers alike.

Чем предстоит заниматься

On a typical day, you’ll own features end to end within our AI ecosystem, with growing independence and impact
Own AI powered features from design through deployment, partnering with product, design, and engineering to scope work and define success metrics
Understand and share domain knowledge, answering domain specific questions for your product area and documenting what you learn for the team
Prioritize your work independently, balancing feature development, quality, and maintenance, and communicating tradeoffs clearly
Proactively seek and offer support to teammates pairing, reviewing, and collaborating to move projects forward
Understand and troubleshoot our deployment pipelines, including build, test, and release steps for ML services and data pipelines
Use our monitoring and observability tools to effectively triage alerts and incidents, collaborating with partners to restore service and prevent recurrence, and participate in the team’s on-call rotation and incident response
Serve as a subject matter expert for the features and services you own, including their data contracts, SLAs, and dependencies
Be a frequent user of AI Tools and champion of adoption to the rest of the company

Наши требования

Authorized to work lawfully in the United States of America as Calendly does not engage in immigration sponsorship at this time
What’s in it for you?
Ready to make a serious impact? Millions of people already rely on Calendly’s products, and we’re still in the midst of our growth curve — it’s a fantastic time to join us. Everything you’ll work on here will accelerate your career to the next level. If you want to learn, grow, and do the best work of your life alongside the best people you’ve ever worked with, then we hope you’ll consider allowing Calendly to be a part of your professional journey
6+ years of industry experience in applied AI/ML and software engineering with a demonstrated track record of shipping and operating AI /ML applications in production
Experience working on GenAI products architecture/system design and implementation
Hands-on experience implementing AI/ML solutions for high-traffic, low-latency, large-data applications that produced tangible impact for end users
Understanding of foundation models and the open-source ecosystem, including model fine-tuning and prompt engineering for real product use cases
Strong programming (Python / Scala / Java / SQL etc) and data engineering skills
High level of ownership, and the ability to find a way to success

Мы предлагаем

We aim to provide an inclusive and equitable candidate experience to everyone who expresses interest in working at Calendly
Once selected for an opportunity, the recruiter assigned to the role will keep you informed every step of the way. Have questions? Let your recruiter know! Want to share your experience? We are passionately committed to improving and building on our process, and we consider feedback a gift
Calendly is registered as an employer in many, but not all, states. If you are located in Alaska, Alabama, Delaware, Hawaii, Idaho, Montana, North Dakota, South Dakota, Nebraska, Iowa, West Virginia, and Rhode Island, you will not be eligible for employment. Note that all individual roles will specify location eligibility
Candidates residing in California may visit our Notice at Collection for California Candidates here: Notice at Collection
Tier 1 Salary Hiring Range
Tier 2 Salary Hiring Range
Tier 3 Salary Hiring Range
The ranges listed above are the expected annual base salary for this role, subject to change
Calendly takes a number of factors into consideration when determining an employee’s starting salary, including relevant experience, relevant skills sets, interview performance, location/metropolitan area, and internal pay equity
Base salary is just one component of Calendly’s total rewards package. All full-time (30 hours/week) employees are also eligible for equity awards, and competitive benefits. Eligible Sales employees also qualify for a Sales Incentive program
Calendly uses the zip code of an employee’s remote work location, or the onsite building location if hybrid, to determine which metropolitan pay range we use. Current geographic zones are as follows
Tier 1: San Francisco, CA, San Jose, CA, New York City, NY
Tier 2: Chicago, IL, Austin, TX, Denver, CO, Boston, MA, Washington D.C., Philadelphia, PA, Portland, OR, Seattle, WA, Miami, FL, and all other cities in CA
Tier 3: All other locations not in Tier 1 or Tier 2
This role may require occasional travel for company events, team collaboration, or offsites

Дополнительно

$237,630—$287,952 USD
$217,828—$263,956 USD
$198,025—$239,960 USD

Технологии и навыки

machine learning
engineer
python
sql
data science
C
Calendly
USA

ГрейдSenior
ЗанятостьПолная занятость
РегионСША
ФорматУдалённо
ИсточникСкрыто
Опубликовано27 авг.

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