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5.441

Webentwickler jobs in Germany

Senior Software Engineer, Core Experiences - Fayetteville, USA

Clutch Canada

Germany
Remote
EUR 60,000 - 90,000
26 days ago
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Senior Software Engineer

Highbrow LLC

Germany
Remote
EUR 60,000 - 80,000
26 days ago

Senior Software Engineer (Browser Extension)

Cyberhaven

Germany
Hybrid
EUR 70,000 - 90,000
26 days ago

Senior Software Engineer, Core Experiences - Glendale, USA

Clutch Canada

Germany
Remote
EUR 100,000 - 125,000
26 days ago

SPS-Programmierer (m/w/d)

VILSA-BRUNNEN Otto Rodekohr GmbH

Bruchhausen-Vilsen
On-site
EUR 45,000 - 60,000
26 days ago
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Field Application Engineer (FAE) (m/w/d)

Lauterbach GmbH

Höhenkirchen-Siegertsbrunn
On-site
EUR 55,000 - 70,000
26 days ago

Senior Software Engineer, Core Experiences - Peoria, USA

Clutch Canada

Germany
Remote
EUR 60,000 - 85,000
26 days ago

Software-Entwicklungs-Ingenieur (m/w/d)

Lauterbach GmbH

Höhenkirchen-Siegertsbrunn
On-site
EUR 50,000 - 70,000
26 days ago
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Anwendungstechniker (m/w/d)

KNIPPING KUNSTSTOFFTECHNIKGESSMANN GmbH

Leingarten
On-site
EUR 40,000 - 55,000
26 days ago

Softwareingenieur (m/w/d)

Randstad (Schweiz) AG

Leipzig
On-site
EUR 50,000 - 70,000
27 days ago

Maschinenbediener mit Schwerpunkt Programmierung (m/w/d)

EMBEKA Technologies GmbH

Langenlonsheim-Stromberg
On-site
EUR 45,000 - 60,000
27 days ago

Softwareentwickler (m/w/d) - Produktionstest

IT-Systemhaus der Bundesagentur für Arbeit

Bühlingen
On-site
EUR 60,000 - 80,000
27 days ago

Software Ingenieur (m/w/d)

IT-Systemhaus der Bundesagentur für Arbeit

Schwäbisch Hall
On-site
EUR 55,000 - 75,000
27 days ago

Softwareentwickler (m/w/d)

IT-Systemhaus der Bundesagentur für Arbeit

Berlin
On-site
EUR 50,000 - 65,000
27 days ago

Anwendungstechniker (m / w / d) im Bereich Estrich

PCT Performance Chemicals GmbH

Bonn
On-site
EUR 45,000 - 65,000
27 days ago

Full Stack Developer JS/PHP M/W/D

IT-Systemhaus der Bundesagentur für Arbeit

Heldengut
On-site
EUR 50,000 - 70,000
27 days ago

Engineer Software(m/w/d)

accu Personalservice GmbH

München
On-site
EUR 50,000 - 70,000
27 days ago

Entwicklungsingenieur Simulations-Software (w/m/d)

IT-Systemhaus der Bundesagentur für Arbeit

Bremen
On-site
EUR 55,000 - 75,000
27 days ago

Software Engineer (m/w/d)

IT-Systemhaus der Bundesagentur für Arbeit

Nürnberg
Hybrid
EUR 55,000 - 75,000
27 days ago

Mechaniker / Schlosser als mobiler Servicetechniker (w/m/d) für Wasserkraftanlagen - JobID 22012

IT-Systemhaus der Bundesagentur für Arbeit

Wipfeld
On-site
EUR 34,000 - 40,000
27 days ago

Softwareentwickler für die Firma SEW-EURODRIVE m/w/d

IT-Systemhaus der Bundesagentur für Arbeit

Bruchsal
On-site
EUR 50,000 - 70,000
27 days ago

Fullstack Developer (m/w/d)

IT-Systemhaus der Bundesagentur für Arbeit

Altenburg
On-site
EUR 55,000 - 75,000
27 days ago

SPS-Programmierer (m/w/d) Kälteanlagen

IT-Systemhaus der Bundesagentur für Arbeit

Marl
On-site
EUR 50,000 - 70,000
27 days ago

SPS Programmierer / Automatisierungstechniker (m/w/d)

IT-Systemhaus der Bundesagentur für Arbeit

Ispringen
On-site
EUR 55,000 - 75,000
27 days ago

Human Machine Interface (HMI) Entwickler (w/m/d)

IT-Systemhaus der Bundesagentur für Arbeit

Mannheim
On-site
EUR 50,000 - 70,000
27 days ago

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Senior Software Engineer, Core Experiences - Fayetteville, USA
Clutch Canada
Remote
EUR 60.000 - 90.000
Full time
26 days ago

Job summary

A leading tech company in Germany is looking for a key role focusing on AI product development. The ideal candidate will work with machine learning researchers and engineers to enhance AI Voices, ensuring high performance and efficiency in cloud environments. Required skills include experience with Python-based services, public cloud, and containerization technologies. The organization offers a dynamic remote work culture with competitive compensation and the chance to impact the lives of many users, particularly those with learning differences.

Benefits

Dynamic work environment
Autonomy and creativity
Competitive compensation
Impactful work in AI technology

Qualifications

  • Experience shipping Python-based services.
  • Responsible for the successful operation of a critical production service.
  • Experience with public cloud environments, GCP preferred.
  • Experience with Infrastructure as Code, Docker, and containerized deployments.
  • Preferred: Experience deploying high-availability applications on Kubernetes.
  • Preferred: Experience deploying ML models to production.

Responsibilities

  • Work with ML researchers, engineers, and product managers on AI Voices for a range of use cases.
  • Deploy and operate core ML inference workloads.
  • Introduce techniques that improve model performance, latency, and efficiency.
  • Build tools to identify bottlenecks and implement solutions.

Skills

Python-based services
Public cloud environments
Infrastructure as Code
Docker
Kubernetes
ML model deployment
Job description

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.

Our interview process involves several technical interviews and we aim to complete them within 1 week.

What You’ll Do
  • Work alongside machine learning researchers, engineers, and product managers to bring our AI Voices to their customers for a diverse range of use cases
  • Deploy and operate the core ML inference workloads for our AI Voices serving pipeline
  • Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models
  • Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues
An Ideal Candidate Should Have
  • Experience shipping Python-based services
  • Experience being responsible for the successful operation of a critical production service
  • Experience with public cloud environments, GCP preferred
  • Experience with Infrastructure such as Code, Docker, and containerized deployments.
  • Preferred: Experience deploying high-availability applications on Kubernetes.
  • Preferred: Experience deploying ML models to production
What We Offer
  • A dynamic environment where your contributions shape the company and its products
  • A team that values innovation, intuition, and drive
  • Autonomy, fostering focus and creativity
  • The opportunity to have a significant impact in a revolutionary industry
  • Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
  • The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
  • An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain
Think you’re a good fit for this job?

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit?

Refer them!

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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