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6.330

Ai jobs in Germany

Software Engineer, Platform - Glendale, USA

Clutch Canada

Germany
Remote
EUR 60,000 - 80,000
4 days ago
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Project Lead Document AI Integration (all gender)

-

Mülheim an der Ruhr
Hybrid
EUR 70,000 - 90,000
4 days ago
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Brand & Kommunikationsdesigner (w/m/d)

IDEENHAUS GmbH MARKEN.WERT.STIL

Nürnberg
On-site
Confidential
5 days ago
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Product Manager - Platform (m/w/d)

MYNE Homes

Berlin
On-site
Confidential
5 days ago
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Product Owner (m/w/d)

Easy2Parts GmbH

Deggendorf
On-site
Confidential
5 days ago
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Senior AI/ML Engineer - Prompt Engineering / Agent Design (f/m/d)

Cinemo GmbH

Karlsruhe
On-site
Confidential
5 days ago
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Senior Procurement Specialist (Indirect)

DeepL

Berlin
On-site
EUR 75,000 - 95,000
5 days ago
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Architecture Advisor Expert (f/m/d) Consumer Industries - Process- and Life Science Industries

SAP

Walldorf
Hybrid
EUR 70,000 - 90,000
5 days ago
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Solutions Architect, GenAI

NVIDIA

München
On-site
EUR 80,000 - 120,000
5 days ago
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Project Associate (f/m/d) - Development (Limited Contract)

SAP

Berlin
Hybrid
EUR 80,000 - 100,000
5 days ago
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Lead Python Backend Engineer (m/f/d)

Cerebras

Düsseldorf
Hybrid
EUR 70,000 - 95,000
5 days ago
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Solution Advisor Expert (f/m/d)

SAP

Walldorf
Hybrid
EUR 65,000 - 95,000
5 days ago
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[Hiring] Chief Operating Officer @Shah & Associates CPAs PA

Shah & Associates CPAs PA

Germany
Remote
EUR 161,000 - 171,000
5 days ago
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Associate Application Specialist

Quinyx

Hamburg
Hybrid
EUR 60,000 - 80,000
5 days ago
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Experienced C++ Application Engineer at fast growing Berlin AI company

Nomitri

Germany
Hybrid
EUR 70,000 - 90,000
5 days ago
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Online Marketing Manager – Schwerpunkt Social Media (m / w / d)

Masters of Marketing GmbH

Jena
Remote
EUR 40,000 - 60,000
5 days ago
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PhD student in Advanced Fiber Optic Communications Systems for Access Networks (m/f/d)

Huawei Research Center Germany & Austria

München
On-site
EUR 40,000 - 50,000
5 days ago
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EMEA Bonding Solutions Demand Generation Specialist (m / f / *)

3M

Neuss
On-site
EUR 40,000 - 60,000
5 days ago
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Online Marketing Manager – Schwerpunkt Social Media (m/w/d)

Masters of Marketing

Plauen
On-site
EUR 40,000 - 60,000
5 days ago
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Senior Procurement Specialist (Indirect)

DeepL

Köln
On-site
EUR 75,000 - 95,000
5 days ago
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Vice President - Global Business Engineering for Germany (m / f / d)

CGI

Düsseldorf
On-site
EUR 120,000 - 160,000
5 days ago
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Vice President - Global Business Engineering for Germany (m / f / d)

CGI

München
On-site
EUR 120,000 - 180,000
5 days ago
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Manager, Compiler Development

Advanced Micro Devices, Inc

München
On-site
EUR 90,000 - 120,000
5 days ago
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Social Media Strategist (m / w / d) (Quereinsteiger willkommen)

Masters of Marketing GmbH

Erfurt
Remote
EUR 20,000 - 40,000
5 days ago
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Front Desk Manager (f/m/d)*

Parloa GmbH

Berlin
On-site
EUR 40,000 - 60,000
5 days ago
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Software Engineer, Platform - Glendale, USA
Clutch Canada
Remote
EUR 60.000 - 80.000
Full time
4 days ago
Be an early applicant

Job summary

A technology company seeks a skilled professional to enhance AI Voices services by deploying and operating machine learning inference workloads. The role involves collaborating with engineers and researchers to improve performance and develop tools for monitoring applications. Key qualifications include experience in Python services, GCP, and Kubernetes. The ideal candidate thrives in a dynamic environment and values innovation and creativity. This position offers a competitive salary and the chance to make a significant impact in AI technology.

Benefits

Competitive compensation
Welcoming atmosphere
Autonomy in work
Impactful projects
Exceptional asynchronous work culture

Qualifications

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

Responsibilities

  • Work with machine learning researchers and engineers on AI Voices.
  • Deploy and operate ML inference workloads for AI Voices.
  • Improve performance, latency, and efficiency of deployed models.
  • Build tools to identify bottlenecks and implement solutions.

Skills

Python-based services
GCP
Infrastructure as Code
Docker
Kubernetes
ML models in production
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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