Full-Time
Aleph Alpha
201-500 employees
No salary listed
Mid
Bellheim, Germany + 1 more
More locations: Berlin, Germany
Hybrid working model
- Knowledge of Machine Learning technology, and advanced knowledge of Artificial Intelligence and Large Language Models.
- Experience in software development projects in complex customer or partner environments.
- Expertise working on Customer-Facing, technical Pre/Post sales, or Solution Implementation Projects that set customers for success.
- Knowledge of User Design Experience and User Centered approach to apply it in software solutions or Backend System Applications Design.
- Both Solution-oriented mindset to solve problems creatively, and a proven experience in turning around complex projects with a relentless drive to results and perfect execution.
- Ability to navigate IT Applications and Architectures leveraging your knowledge to develop intuitive solutions.
- Passion towards innovating, structuring, streamlining and driving execution of high-impact processes in ambiguous and highly dynamic environments.
- Fluency both in German and English are required.
- Develop a detailed customer project schedule, facilitate customer evaluations and PoC.
- Contribute to the innovative solutions for our customers and external partners ensuring a smooth user experience.
- Interpret customer business goals and translate them into the clear technical requirements.
- Take part in designing, deploying, adapting, implementing, configuring, and customizing the solutions for our clients to ensure topnotch customer experience.
- Ensure smooth prompt and fine tuning of Large Language Models.
- Provide technical expertise and guidance on troubleshooting to Aleph Alpha clients and stakeholders throughout the project lifecycle.
- Draft and deliver presentations on targeted products, demonstrating features and functionality.
- Collaborate with Engineering and Product to shape a stable production environment, as well as with Sales, IT Support, Operations, Business Groups, and the key users to ensure project success.
Company Size
201-500
Company Stage
Series B
Total Funding
$641.1M
Headquarters
Heidelberg, Germany
Founded
2019
Simplify's Take
What believers are saying
- Aleph Alpha's $500M funding round strengthens its competitive position in AI.
- Collaboration with Bosch and Microsoft opens opportunities in AI-powered automotive functions.
- Open-source LLMs align with the trend of transparency, attracting global interest.
What critics are saying
- Langdock's potential US move increases competition in the AI sector.
- Aleph Alpha's financial struggles in 2023 may hinder competitive capabilities.
- Open-source model release could lead to increased competition from developers.
What makes Aleph Alpha unique
- Aleph Alpha's open-source LLMs promote transparency, attracting researchers and developers.
- Partnership with Cerebras Systems positions Aleph Alpha as a leader in secure AI solutions.
- Acquisition of thingsTHINKING GmbH enhances Aleph Alpha's language software capabilities.
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Benefits
Paid Vacation
Wellness Program
Mental Health Support
401(k) Retirement Plan
Subsidized Germany-wide transportation ticket
Budget for additional technical equipment
Flexible Work Hours
Virtual Stock Option Plan
Growth & Insights and Company News
6 month growth
↑ 5%1 year growth
↑ 9%2 year growth
↓ -1%Aleph Alpha, a company specializing in artificial intelligence, has acquired Thingsthinking, a language software specialist based in Karlsruhe. This acquisition aims to enhance Aleph Alpha's offerings for the industrial and financial sectors.
A German AI startup backed by General Catalyst is considering opening a US office, its first overseas office.Founded in 2023, Langdock has an office in Berlin but its executives are spending a considerable amount of time in New York and San Francisco.Lennard Schmidt, Langdock CEO and co-founder, says the US is “more dynamic when it comes to AI than Europe”.He said: “I think for us it’s still on the table if we move to the US.”Schmidt said that should the startup open an office in the US, it would retain its Berlin office.Schmidt also pointed out that Germany was behind the US and UK in commercialising AI research.He said: “In Germany we have these very established institutions around doing deep research, what we do lack is the commercial aspect of taking that research and commercialising some of it.“I feel the UK is in a better position right now, but also Paris, given their ties to the big American companies that have research facilities there.”Germany has some well-known AI companies, such as Helsing, Aleph Alpha and Black Forest Labs.Langdock is looking to capitalise on the fervour around ChatGPT and other LLMs while addressing employer concerns around data sharing and compliance when introducing AI chatbots into the workforce.Langdock has built what is essentially a model agnostic chatbot, which sits between the LLM and a business, that it says employers can roll out centrally, securely, and compliantly to its employees, saying it gives businesses “peace of mind”.Its tech, is says, basically addresses concerns a business might have when introducing ChatGPT, Claude or Gemini into the workforce.Schmidt, who along with his co-founders Jonas Beisswenger and Tobias Kemkes, attended Berlin startup university CODE, says: “We take away all the concerns about what happens to the data because we have essentially all the compliance in place for that in terms of contract work and providers we work with.”One potential benefit of Langdock, whose $3m seed fundraise last year was also backed by La Famiglia and Y Combinator, is that its clients, which include US pharma giant Merck and payment startup Mondu, are not tied to using one LLM for life, but can chop and change as they see fit.While it is relatively easy for individual users to swap models, it is harder for enterprises given compliance and regulatory challenges.Merck, for instance, uses Langdock as its AI base layer, which Merck calls MyGPT (with the Merck chatbot looking very similar to ChatGPT), which is rolled out to around 23,000 employees, about 45 per cent of its workforce.Langdock, which has 15 employees, has European and US clients, but Schmidt points out European firms have more regulatory and data concerns than US firms, given the relative tightness of the rules, along with concerns about data sharing
A startup based in Heidelberg, Germany, named Aleph Alpha, secured $500 million in Series B funding. Of this, €110 million was invested in the company's capital, while the remainder was allocated as research grants. The investment was led by prominent German business giants, including Schwarz Group, SAP, and Bosch Ventures. Despite this significant backing, Aleph Alpha struggled to maintain the pace set by its competitor, OpenAI.
Die Deutsche Bank investiert in KI-Startup Aleph Alpha und sichert sich zwei Prozent der Anteile. Auch Earlybird und Burda bauen ihre Beteiligungen aus.
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn MoreAleph Alpha, a German artificial intelligence startup, released two new large language models (LLMs) under an open license on Monday, potentially reshaping the landscape of AI development. The move allows researchers and developers to freely examine and build upon the company’s work, challenging the closed-source approach of many tech giants.We are excited to launch our two models Pharia-1-LLM-7B-control and Pharia-1-LLM-7B-control-aligned. Both models and the code used to train them are now publicly available and open-sourced for non-commercial research and educational use.Read our model blog post here:… pic.twitter.com/VPCMZ0x6Pw — Aleph Alpha (@Aleph__Alpha) August 26, 2024The models, Pharia-1-LLM-7B-control and Pharia-1-LLM-7B-control-aligned, boast 7 billion parameters each. Aleph Alpha designed them to deliver concise, length-controlled responses in multiple European languages. The company claims their performance matches leading open-source models in the 7-8 billion parameter range.This release marks a significant shift in the AI development landscape, where transparency and regulatory compliance are becoming as crucial as raw performance