Machine Learning Engineer

🕒 vor 3 Monaten

Jetzt Bewerben

Ähnliche Remote-Jobs finden

E-Mail-Benachrichtigung für neue Jobs einrichten

📊 Überprüfen Sie Ihre Lebenslauf-Bewertung für diese Stelle

Verbessern Sie Ihre Chancen auf ein Vorstellungsgespräch, indem Sie Ihre Lebenslauf-Bewertung vor der Bewerbung überprüfen.

Lebenslauf hochladen

Calendly

WebsiteLinkedInAlle Stellen

501 - 1000 Mitarbeiter

Gegründet 2013

☁️ SaaS

⚡ Produktivität

🏢 Unternehmen

💰 €3.502.700.000 Series B im 2021-01

SaaS • Productivity • Enterprise

Calendly ist eine Plattform zur Automatisierung der Terminplanung, die die Koordination von Meetings vereinfacht. Sie bietet anpassbare Verfügbarkeitsoptionen, Integrationen mit Kalender- und Videokonferenz-Tools sowie Funktionen wie Terminabstimmungen und Erinnerungen. Calendly hat das Ziel, die Produktivität zu steigern, indem der Aufwand für die Organisation von Meetings für Einzelpersonen und Teams reduziert wird.

Beschreibung

• Own ML 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.

🎯 Anforderungen

• 4+ years of industry experience in applied Machine Learning or closely related fields (or equivalent combination of education and experience) • Deep and demonstrated ability to traverse the full spectrum of ML life cycle: exploratory data analysis, feature engineering, data visualization, feature and algorithm selection, model experimentation, model training and validation, model serving, monitoring and retraining • Experience developing and implementing statistical and ML models to uncover patterns, trends, and predictions in areas such as revenue forecasting, churn analysis, personalization and recommendation, anomaly detection, or natural language processing. • Hands-on experience implementing ML models using a managed service (for example, Vertex AI or SageMaker) 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 • Proficiency in ML frameworks such as: Keras, Tensorflow and PyTorch and ETL and ML workflow frameworks like Apache Spark, Beam, Airflow and VertexAI • Experience working with time series data and related machine learning problems. Working knowledge of semantic search and embeddings • Recognize when to seek assistance and willing to learn whatever is needed to get the job done; curiosity and growth mindset are essential. • Strong verbal and written communication skills. Ability to communicate complex technical concepts to both technical and business stakeholders. • Authorized to work lawfully in the United States of America as Calendly does not engage in immigration sponsorship.

🏖️ Vorteile

• Health insurance • 401(k) matching • Paid time off • Flexible work hours • Professional development opportunities • Top Performer Bonus program • Equity awards