AI Research Engineer - Signal Processing Job at Helsing (Munich)

Principal Investigator, Federal Research Projects

We are seeking a Principal Investigator (PI) to support proposal development and...

Location

United States

Salary:

Not provided

DaqScribe Solutions

Expiration Date

Until further notice

Requirements

Strong background in embedded computing systems and real-time signal processing
Experience in Artificial Intelligence (AI) and Machine Learning (ML)
Proven leadership in conducting research projects and managing small teams
Skilled in data analysis and research methodologies
Excellent problem-solving and critical thinking abilities
Strong written and verbal communication skills
Ability to work independently and in a remote environment
Master’s or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field
U.S. citizenship is required
Must be able to obtain and obtain a security clearance at the Secret (S) and Top Secret (TS) levels

Job Responsibility

Lead proposal development for federal research opportunities in relevant topic areas or related domains
Manage and guide a multidisciplinary research team through concept, execution, and delivery
Design, implement, and evaluate novel signal processing and machine learning methodologies
Contribute to commercialization strategies stemming from federally sponsored R&D projects
Interface with government sponsors, collaborators, and internal teams throughout the research lifecycle
Participate in the “Technology Transfer” and commercialization process for all prototypes and technologies developed through government-funded research projects

Fulltime

Intelligence Summer Internship

Are you someone who is motivated and excited by opportunities to learn and grow ...

Location

United States , Woburn

Salary:

52000.00 - 79000.00 USD / Year

STR

Expiration Date

Until further notice

Requirements

Enrollment in a BS, MS, or PhD degree program in electrical engineering, computer science, physics, mathematics, or related technical discipline
Strong academic record and interest in research and/or hands-on engineering
Background/experience in one or more of the following areas: machine learning, generative AI, image/video processing, analytics/big data, reverse engineering, signal processing, sensing systems, autonomy, software development, and biotechnology
This position requires the ability to obtain a security clearance, for which U.S. citizenship is needed by U.S. Government.

Job Responsibility

Work as part of a project team with focused mentorship from experienced staff
Collaborate with technical experts to support projects in various phases of development ranging from problem design to development of prototype algorithms to integration and test of field ready systems
Build on your existing technical communication skills culminating in a presentation to the STR community and your peers

What we offer

Competitive pay
Free housing near selected STR offices
Flexible Working Hours
Fun summer activities both inside and outside the office

Fulltime

Technical Sourcer

We’re looking for a Technical Sourcer to join our global Talent team at ElevenLa...

Location

United States

Salary:

Not provided

ElevenLabs

Expiration Date

Until further notice

Requirements

Proven ability to globally source the top 1% engineering, product, and technical talent in competitive markets (we’d love to see ~2+ years, but impact > years)
Comfortable operating in high-volume, high-complexity technical searches — you stay focused, inventive, and energized even when the problem has many moving parts
Skilled in research-driven sourcing: market mapping, building signal-based profiles, and tailoring outreach with precision
Thrives in fast-paced, remote-first environments and collaborates effectively across global time zones
Excellent written communication — crisp, engaging outreach that resonates with technical audiences
Motivated by creativity, curiosity, and a deep interest in engineering, AI, and how people build things

Job Responsibility

Mapping and engaging technical talent markets globally — product engineering, ML/AI, infra, research and more
Running multiple complex searches simultaneously without compromising depth or quality
Developing creative, non-obvious sourcing strategies that uncover exceptional engineers others miss
Partnering closely with Technical Recruiters and hiring leaders to refine requirements, identify signals, and raise the quality bar
Serving as an early ambassador for ElevenLabs — your outreach shapes candidates’ first impression and sets the tone for the entire process

What we offer

Innovative culture
Growth paths
Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend
Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose
Annual company offsite
Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend

Fulltime

R&D Scientist/Engineer

ARiA is looking for highly motivated self-starters and low-ego team players to j...

Location

United States , Madison; Alexandria; Seattle

Salary:

Not provided

Applied Research in Acoustics

Expiration Date

Until further notice

Requirements

Master’s degree or greater (Ph.D. is desirable) in a relevant technical field (Acoustics, Electrical Engineering, Computer Science, or similar) or equivalent professional experience
Appropriate experience working in the field of signal processing in radar or sonar (waveform design, detection and classification, beamforming, etc.) and/or machine learning for acoustic or image data or AI (supervised and unsupervised learning, deep learning, kernel machines, latent semantic analysis, etc.)
Facility designing and developing code in modern programming/scripting languages such as C, C++, Java, Matlab, and Python
Exceptional ability and desire to acquire new knowledge and skills to solve challenges
Ability to work independently but collaboratively
Ability to manage multiple projects in a fast-paced professional office environment
Ability to communicate technical solutions to colleagues and customers
Superior oral and written communications skills
Applicants selected for employment will be subject to a government security investigation and must meet eligibility requirements, including U.S. citizenship, for access to sensitive information

Job Responsibility

Formulation and prototype implementation of original concepts and algorithms in numerical modeling, sonar-signal processing, and/or machine learning/artificial intelligence (AI)
Testing and evaluation of new algorithms based on theoretical analysis and experimental evaluation
Coordination with ARiA scientists and engineers in the development of algorithms and software products
Presentation of findings and results at scientific meetings and program reviews
Serving as a technical lead on projects by setting technical direction as well as mentoring and supporting the work of more junior colleagues
Supporting the transition of research algorithms to real-time operational prototypes through coordination with software engineers inside and outside of ARiA
Preparing documentation for customers to summarize design and status of software prototypes and products
Assisting with in-field integration, testing, and support, with some local travel required

Fulltime

Senior SEO & AI Content Specialist

Superside is looking for a Senior SEO & AI Content Specialist to help our Search...

Location

Salary:

Not provided

Superside

Expiration Date

Until further notice

Requirements

Bachelor’s degree or equivalent experience
4+ years in SEO content creation, optimization, or content operations, ideally within B2B SaaS or design-led companies
Strong systems mindset, able to design scalable workflows that improve research, optimization, and AI-assisted processes
Strong understanding of SEO fundamentals, including keyword research, on-page optimization, internal linking, and structured data
Hands-on experience with AI-driven tools and workflows, plus an understanding of how LLMs interpret and surface content
Analytical and growth-oriented approach, using data to experiment, measure impact, and iterate quickly
Strong cross-functional collaboration and communication skills, able to translate insights into actionable recommendations

Job Responsibility

Enhance and optimize content across the blog and website for both search engines and AI platforms, working closely with the SEO content team
Build and maintain AI-assisted workflows and automations that improve content operations, structure, and visibility
Monitor and analyze Superside’s presence across LLMs, turning insights into clear recommendations and optimization actions
Integrate AEO, GEO, and AI search principles into briefs, outlines, and content updates with content, design, and SEO specialists
Improve on-page structure and technical signals including metadata, schema, and internal linking frameworks
Run experiments on emerging AI search trends and contribute insights that shape Superside’s broader search and content strategy

What we offer

Remote-first work
Global community spanning 60+ countries
Fast-paced, high-energy environment with truth-seeking teammates
Foster trust, collaboration, and continuous learning
Influence our product like a startup while enjoying the stability of a thriving scale-up
Continuous learning opportunities
Constant mentoring
Leadership development efforts

Data Analyst

We’re looking for an outstanding Data Analyst who can actively contribute to the...

Location

Milan; London

Salary:

Not provided

MDOTM Ltd

Expiration Date

Until further notice

Requirements

Master’s degree or PhD in Engineering, Computer Science, Statistics, Physics, Mathematics, or related technical fields
1+ years of work experience in a industry, university, or government lab, in a role with primary emphasis on AI research
Strong skills in statistical modeling and machine learning, especially techniques such as bagging, random forests, gradient boosting, hyperparameter optimization techniques, Bayesian models, neural networks, time series analysis, signal processing etc.
Relevant coding experience in programming languages such as Python (or equivalent)
Excellent teamwork skills are a must
Creativity and ability to formulate problems and solve them both in team and independently
Willing to work towards long-term ambitious research goals, while identifying intermediate milestones and meeting deadlines
Fluent in English both spoken and written

Job Responsibility

Work directly both with our R&D division and with our Mission Control team on data analytics projects using our internal tools, spreadsheets and Python scripts for exploratory data analysis, modeling, visualization, performance evaluation and report generation
Research and deliver insights related to risk exposures, portfolio construction, and quantitative analysis of the investment process
Evaluating and interpreting the outputs of the models from an economic and financial point of view
Producing clear written summaries of research results

What we offer

Flexible smart working policies
Annual retreat for the team in an awesome location
Professional development under the lead of a senior member
Free coffee and snacks
Office kitchen and common spaces

Context Layer & GTM Engineer

Bloomreach is seeking a Context Layer & Platform Engineer to architect and maint...

Location

Czechia , Bratislava; Brno; Prague

Salary:

Not provided

Bloomreach

Expiration Date

Until further notice

Requirements

You've built or scaled data pipelines, ETL systems, or API backends that serve multiple downstream consumers - and understand the discipline of versioning, backward compatibility, and operational stability
You know Salesforce deeply - data model, custom objects, field governance, deduplication strategies, API limitations - and can architect data quality processes that scale
You're expert with N8N, Supabase/Postgres, and API integrations. You can design schemas, optimize queries, version APIs, and think about performance at scale. You've built systems that balance flexibility with simplicity
You understand LLM-adjacent tooling and can reason about prompt versioning, retrieval quality, latency trade-offs, and how to structure data so agents consume it predictably
You love operational rigor - monitoring, alerting, observability, runbooks. You believe that boring infrastructure is good infrastructure, and you want to measure and communicate it
You're comfortable with ambiguity and can break down a big architectural challenge ("serve 200 agents with consistent context") into testable, shippable milestones
You thrive in cross-functional environments and can translate between data engineers, product teams, AI researchers, and business stakeholders. You can speak both technical and business language
You're driven by the challenge of turning messy data into clean intelligence - and seeing that intelligence power products and decisions in real time
You're curious about how GTM works and motivated to understand not just the "what" but the "why" - so you build systems that are useful, not just technically sound
You have strong project ownership instincts - you see things through from design to maintenance, and you take pride in systems that run reliably at scale

Job Responsibility

Own Salesforce data integrity: Take responsibility for data quality, deduplication, and enrichment across Salesforce. Use AI enriching accounts and contacts with the right data, eliminating duplicates, standardizing fields, validating data freshness, and ensuring that all context flowing through the system is reliable. You are the keeper of the single source of truth
Engineer the context retrieval backbone: Design and ship versioned, documented API endpoints that GTM agents call to retrieve context - contacts, accounts, engagement history, intent signals, enrichment data - with consistent response contracts, fast latency, and intelligent filtering/boosting/time-decay logic. These endpoints become the foundation for scaling from 10 to 200 agents
Optimize retrieval performance: Continuously tune query logic, filters, boosts, and ranking algorithms so answers are contextually relevant, fast (sub-second latency), and cost-effective. Every agent query should return signal, not noise
Scale “GTM Brain” data sources without breaking agents: Add new sources - product usage, web signals, third-party enrichment, intent platforms - to the context layer without forcing agents to rebuild their logic. Design the system so agents stay stable while context grows richer
Keep context fresh and resilient: Build and operate background jobs that refresh context on schedule, detect and fix failed re-embeddings, backfill deltas, and maintain data pipelines that feed agents with up-to-date intelligence without disruption or drift
Enable agent developers and operators: Create starter queries and templated context patterns that new agents can adopt quickly. Coordinate with the enablement and AI Ops teams to make context accessible to non-engineers
Collaborate on vendor strategy: Help evaluate, integrate, and own relationships with key vendors like N8N, Clay, Rattle - ensuring their data flows cleanly into your context architecture and meets our latency and freshness requirements
Participate in building the GTM data stack of the future: Work with RevOps, and AI Ops to understand how Salesforce, enrichment platforms, N8N, Supabase/Postgres, LLM tools, and analytics integrate - co-creating a scalable, maintainable system that can grow to support 200+ agents without technical debt

What we offer

A great deal of freedom and trust
We believe in flexible working hours
We work virtual-first with several Bloomreach Hubs available across three continents
We organize company events
We encourage and support our employees to engage in volunteering activities - every Bloomreacher can take 5 paid days off to volunteer
People Development Program -- personal development workshops
communication coach available
Leader Development Program
$1,500 professional education budget on an annual basis
Employee Assistance Program -- with counselors

Fulltime

Data Scientist

MDOTM is looking for outstanding data scientists with a strong background in Art...

Location

Italy , Milan

Salary:

Not provided

MDOTM Ltd

Expiration Date

Until further notice

Requirements

Master’s degree or PhD in Engineering, Computer Science, Statistics, Physics, Mathematics, or related technical fields
2+ years of work experience in a industry, university, or government lab, in a role with primary emphasis on AI research
Strong skills in statistical modeling and machine learning, especially techniques such as bagging, random forests, gradient boosting, hyperparameter optimization techniques, Bayesian models, neural networks, time series analysis, signal processing etc.
Relevant coding experience in programming languages such as Python (or equivalent)
Excellent teamwork skills are a must
Creativity and ability to formulate problems and solve them both in team and independently
Willing to work towards long-term ambitious research goals, while identifying intermediate milestones and meeting deadlines

Job Responsibility

Researching, designing and implementing appropriate machine learning algorithms
Selecting appropriate datasets and data representation methods
Running machine learning tests, experiment and performing statistical analysis
Present in a clear and concise way complex results using intuitive and beautiful data visualizations
Extending existing AI/ML libraries and frameworks
Being always up to date on the latest developments and breakthroughs in the field
Working smoothly as part of the R&D team and collaborating with different business functions on the entire lifecycle of the projects

What we offer

Flexible smart working policies
Annual retreat for the team in an awesome location
Professional development under the lead of a senior member
Free coffee and snacks
Office kitchen and common spaces

AI Research Engineer - Signal Processing

Helsing

Location:
Germany , Munich ▼
Berlin

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 09, 2025

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