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Jobs in Aalen, Germany

Senior Software Engineer, Core Experiences - Columbia, USA

Clutch Canada

Germany
Remote
EUR 100,000 - 125,000
17 days ago
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Solution Architect SAP Public Sector

Ahdus technology

Germering
Remote
EUR 80,000 - 100,000
17 days ago

Product Specialist Sales Executive 6

PowerToFly

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

Software Engineer, Platform - Glendale, USA

Clutch Canada

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

Senior HR Implementation Manager

Deel

Germany
Remote
EUR 70,000 - 90,000
17 days ago
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Sales Engineer

Advanced Drainage Systems

Germany
Remote
EUR 59,000 - 77,000
17 days ago

German-speaking Content Moderator in Athens, Greece (Relocation Provided)

Nordicrecruiters

München
Remote
EUR 25,000 - 35,000
17 days ago

SQL DBA with LifePro with Life Insurance - Domain Remote

ESR Healthcare

Germany
Remote
EUR 60,000 - 80,000
17 days ago
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Senior Product Designer - Frankfurt, Germany

Clutch Canada

Frankfurt (Oder)
Remote
EUR 60,000 - 80,000
17 days ago

Principal Technical Product Manager [gn] Connectivity and Integrations

Medium

Nordrhein-Westfalen
Remote
EUR 60,000 - 80,000
18 days ago

Freelance Quality & Team Manager

Velenosi&Meredith

Hamburg
Remote
EUR 60,000 - 80,000
18 days ago

Freelance Quality & Team Manager

Velenosi&Meredith

Berlin
Remote
EUR 60,000 - 80,000
18 days ago

Freelance Quality & Team Manager

Velenosi&Meredith

Düsseldorf
Remote
EUR 80,000 - 100,000
18 days ago

Sales Executive - Steel Detailing Software

Ersilia

München
Remote
EUR 50,000 - 70,000
18 days ago

Online Marketing & Content Spezialist (m/w/d) (Remote)

FP Finanzpartner AG

Hamburg
Remote
EUR 50,000 - 70,000
18 days ago

Online Marketing & Content Spezialist (m / w / d) (Remote)

IT-Systemhaus der Bundesagentur für Arbeit

Essen
Remote
EUR 50,000 - 70,000
18 days ago

Mobile App Marketing Manager - Performance Marketing (m/w/d) (Remote)

FP Finanzpartner AG

Dortmund
Remote
EUR 50,000 - 70,000
18 days ago

Online Marketing & Content Spezialist (m/w/d) (Remote)

FP Finanzpartner AG

Mannheim
Remote
EUR 50,000 - 70,000
18 days ago

Mobile App Marketing Manager - Performance Marketing (m/w/d) (Remote)

FP Finanzpartner AG

Leipzig
Remote
EUR 55,000 - 75,000
18 days ago

Mobile App Marketing Manager - Performance Marketing (m/w/d) (Remote)

FP Finanzpartner AG

Augsburg
Remote
EUR 60,000 - 80,000
18 days ago

Werde Teil von desk:box als Quality Assurance Engineer (m/w/d)

stadt.werk

Germany
Remote
Confidential
18 days ago

Diätassistent / Ernährungswissenschaftler (m/w/d) für Krankenkassen-Ernährungskurs (Online)

Physiojobs München

Germany
Remote
Confidential
18 days ago

Selbstständiger Handelsvertreter- Real Estate / Bauprojekte (m/w)

Bauvio

Germany
Remote
Confidential
18 days ago

(Senior) Account Executive / Sales Manager - B2B / SaaS - Remote

ZEP GmbH

Germany
Remote
Confidential
18 days ago

Area Sales Manager (m/w/d)

Eggersmann - Gruppe

Germany
Remote
Confidential
18 days ago

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Senior Software Engineer, Core Experiences - Columbia, USA
Clutch Canada
Remote
EUR 100.000 - 125.000
Full time
17 days ago

Job summary

A dynamic technology company is seeking a candidate to work with AI Voices, deploying and managing ML workloads. The ideal applicant will have experience in Python-based services, public cloud environments like GCP, and container technologies such as Docker and Kubernetes. This role offers competitive compensation and the chance to significantly impact a product that benefits users with learning differences. Join a team that values innovation, autonomy, and creativity in a fully remote setting.

Benefits

Competitive compensation
Autonomy in work
Innovative work environment
Focus on diversity and inclusion

Qualifications

  • Proven experience in shipping Python-based services.
  • Experience managing the operation of a critical production service.
  • Experience with public cloud environments, especially GCP.

Responsibilities

  • Collaborate with researchers and engineers to implement AI Voices.
  • Deploy and manage core ML inference workloads.
  • Enhance the performance and efficiency of deployed models.

Skills

Python-based services
Production service operation
Public cloud environments (GCP preferred)
Docker
Containerized deployments
Kubernetes
Deploying ML models to 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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