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Jobs in Gottingen, United States

Senior Software Engineer, Core Experiences - Richmond, USA

Clutch Canada

Germany
Remote
EUR 70,000 - 90,000
2 days ago
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Account Executive, WooCommerce

PowerToFly

Germany
Remote
EUR 80,000 - 137,000
2 days ago
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Senior Software Engineer, Core Experiences - Columbia, USA

Clutch Canada

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

Ahdus technology

Germering
Remote
EUR 80,000 - 100,000
2 days ago
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Product Specialist Sales Executive 6

PowerToFly

Germany
Remote
EUR 60,000 - 80,000
2 days ago
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Software Engineer, Platform - Glendale, USA

Clutch Canada

Germany
Remote
EUR 60,000 - 80,000
2 days ago
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BIM Coordinator - MEP

Cushing Terrell

Germany
Remote
EUR 50,000 - 60,000
2 days ago
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Senior Auditor (m/f/d)

IU Internationale Hochschule

Germany
Remote
EUR 60,000 - 80,000
2 days ago
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Senior HR Implementation Manager

Deel

Germany
Remote
EUR 70,000 - 90,000
2 days ago
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German-speaking Content Moderator in Athens, Greece (Relocation Provided)

Nordicrecruiters

München
Remote
EUR 25,000 - 35,000
2 days ago
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Sales Engineer

Advanced Drainage Systems

Germany
Remote
EUR 59,000 - 77,000
2 days ago
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Copywriter and Email Marketing Specialist- B2B SaaS

Apps Mav

Germany
Remote
EUR 45,000 - 65,000
2 days ago
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Customer Success Manager - Mid Market

Samsara

Germany
Remote
EUR 50,000 - 70,000
2 days ago
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Senior Product Designer - Frankfurt, Germany

Clutch Canada

Frankfurt (Oder)
Remote
EUR 60,000 - 80,000
2 days ago
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Dozent (m/w/d) für IT-Projektmanagement

Syntax Institut

Germany
Remote
Confidential
2 days ago
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Freelance Quality & Team Manager (German speaking)

Velenosi&Meredith

Gütersloh
Remote
EUR 60,000 - 80,000
2 days ago
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Business Development Representative (Switzerland)

Clutch Canada

Niedersachsen
Remote
EUR 40,000 - 60,000
12 days ago

IT-Consultant (m/w/d)

IT-Systemhaus der Bundesagentur für Arbeit

Göttingen
On-site
EUR 50,000 - 70,000
Yesterday
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Auszubildenden zum Chemielaborant (m/w/d)

NextPharma

Göttingen
On-site
EUR 40,000 - 60,000
Yesterday
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Steuerfachkraft (m/w/d) in Göttingen mindestens 52.000€ - 100% Remote möglich

Taxtalente.de

Göttingen
Remote
Confidential
30+ days ago

Sekretariatsassistenz (m/w/d) - hybrides Arbeiten (Remote & Präsenz)

DIS Deutscher Industrie Service AG

Göttingen
Remote
EUR 35,000 - 45,000
30+ days ago

Beschaffungscontroller (m/w/d) - hybrides Arbeiten (Remote & Präsenz)

DIS Deutscher Industrie Service AG

Göttingen
Remote
EUR 55,000 - 70,000
30+ days ago

Steuerfachkraft (m/w/d) in Göttingen mindestens 52.000€ - 100% Remote möglich

TaxTalente

Göttingen
Remote
EUR 52,000 - 85,000
30+ days ago

Recruitment Coordinator (Teilzeit, 20 Std./Woche)

Stellar Global

Germany
Remote
EUR 40,000 - 60,000
3 days ago
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Principal Technical Product Manager [gn] Connectivity and Integrations

Medium

Nordrhein-Westfalen
Remote
EUR 60,000 - 80,000
3 days ago
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Senior Software Engineer, Core Experiences - Richmond, USA
Clutch Canada
Remote
EUR 70.000 - 90.000
Full time
2 days ago
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Job summary

A global technology company in Germany seeks a candidate for a key role focusing on AI-driven products. The position involves deploying and managing machine learning inference workloads, collaborating with researchers, and improving the efficiency of deployed models. Ideal candidates will have experience with Python-based services and public cloud environments, particularly GCP. This role offers the chance to work in a dynamic, remote setting, making significant contributions to innovative solutions that impact users positively.

Benefits

Competitive compensation
Dynamic environment
Autonomy in work
Impactful product
Inclusive workplace culture

Qualifications

  • Experience in deploying and operating services in production.
  • Background in machine learning or AI is an advantage.

Responsibilities

  • Work with machine learning researchers to deliver AI Voices.
  • Deploy and manage ML inference workloads.
  • Improve performance and efficiency of deployed models.
  • Build tools to identify and solve operational bottlenecks.

Skills

Python-based services
Public cloud environments (GCP preferred)
Infrastructure as Code
Docker
Containerized deployments
High-availability applications
Kubernetes
Deploying ML models
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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