Machine Learning Assistant Job at Brighter AI (Berlin)

Senior Software Engineer, Machine Learning

At Machina Labs, we’re reshaping manufacturing through advanced robotics and mac...

Location

United States , Chatsworth

Salary:

155000.00 - 190000.00 USD / Year

Machina Labs

Expiration Date

Until further notice

Requirements

MS or PhD. in Data Science, Computer Science, Machine Learning, Statistics, or a related field
4+ years of hands-on experience in machine learning systems, algorithms, and applications (e.g. deep learning, time series analysis, etc.)
Experienced and very comfortable coming up with machine learning architectures and training models from scratch
Extensive Python programming experience
Familiarity with big data platforms (Hadoop, Spark, Hive) and analytics environments (Databricks, Sagemaker/Azure ML, Jupyter)
Experience in build/release systems and processes
Quick learner of new technologies and experienced in fast-paced iterative design
Strong communicator with the ability to explain complex topics to technical and non-technical audiences
Proven track record of being able to solve complex problems independently and as part of an integrated team

Job Responsibility

Identify opportunities for machine learning automation and predictive modeling by analyzing available data and collaborating with engineers and manufacturing process experts
Conduct data mining, develop model architectures, train and deploy models, and define metrics aligned with business objectives
Design, develop, and deploy ETL and data cleansing processes to extract relevant features for modeling (in collaboration with other team members)
Assist team members in data analysis and interpretation
Design and conduct experiments to test and validate solutions and models
Build a production-ready pipeline supporting multiple machine learning models
Develop monitoring tools for data quality and system performance
Provide guidance to team members and actively participate in interview processes to hire additional team members

What we offer

Medical, Dental, Vision
PTO
Stock Options

Fulltime

Machine Learning Officer

Inetum is a European leader in digital services. Inetum’s team of 28,000 consult...

Location

Portugal , Lisbon

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Ability to explain the results of a model and the different elements impacting it
Statistical and quantitative analysis skills (e.g., machine learning models, statistical models, Bayesian statistics, probability theory, time series analysis)
Knowledge of at least one ML development stack (e.g., scikit-learn, keras …)
Knowledge of NLP techniques
Effective Programming skills (e.g., Python, R, Java, Go) and algorithmic knowledge
Knowledge of databases and associated tools (SQL and NoSQL)
Familiarity with continuous integration tools (pref. Jenkins, Git)
Knowledge of deep learning architectures and frameworks (e.g., PyTorch, TensorFlow,…)
Fluent English

Job Responsibility

Develop End to End Product Lifecycle: Develop Machine Learning (ML) and Artificial Intelligence (AI) solutions i.e., collect and label data, setup and train models, test and evaluate results
Develop, modify, and support in-house applications, working hand-in-hand with the data scientists and developers of the AC team
Work closely with clients during all stages of the application life cycle
Design the most adequate approaches to solve the identified problems within the company’s framework
Implement and assist the deployment and maintenance of models and software: Follow industry best practices to implement and scale out the developed solutions into production grade software
Assist the operational teams with the deployment, monitoring and maintenance of the developed solutions
Contribute to disseminate a culture of data driven solutions within CIB
Maintain a strong market watch on the latest developments on methodologies, technologies, and tools

Machine Learning Developer

Edaptive Computing, Inc. (ECI) requires a Machine Learning Developer with experi...

Location

Salary:

Not provided

Edaptive Computing

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science/Any Engineering
Knowledge of Neural Networks or similar machine and deep learning techniques
Knowledge of Python
Knowledge of Java or similar object-oriented languages
Capability to perform complex research
Capability to work independently to meet timely goals
Strong analytical and problem-solving skills
Excellent written and verbal communication skills
ability to clearly present analysis proposals and results

Job Responsibility

Investigation, identification, and application of innovative software solutions in areas such as machine learning, data mining, and big data processing
Research and develop applications of advanced machine learning techniques
Demonstrate through software prototypes and experimentation
Assist in transition to production applications
Apply proven problem-solving, analytical and communication skills to successfully apply complex techniques and tools to automate the analysis of large, complex data

What we offer

competitive benefits package

Fulltime

Machine Learning Research Engineer

You will be part of Kiddom’s Data Science team, building the foundation of our s...

Location

United States , San Francisco; New York

Salary:

175000.00 - 250000.00 USD / Year

Kiddom

Expiration Date

Until further notice

Requirements

Have 5+ years of industry experience applying machine learning to solve real-world problems with large, complex datasets, with 1–2 years in a technical leadership role
Proven track record designing, evaluating, and deploying ML/AI systems in production environments that drive measurable business impact, ideally in recommendation, personalization, search, or workflow optimization
Strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and common ML toolkits (scikit-learn, XGBoost, TensorFlow/PyTorch)
Strong analytical skills and ability to break down complex problems into measurable hypotheses and experiments
Excellent communication skills with a history of cross-functional collaboration with product, design, and engineering stakeholders

Job Responsibility

Architect and scale machine learning systems for search, personalization, and recommendations that power Kiddom’s teacher helper and insight engine
Develop evaluation-first development workflows to measure how models improve teaching efficiency, lesson planning, and student learning outcomes
Fine-tune machine learning models with feedback signals from teachers and students to align outputs with instructional goals and classroom needs
Design intelligent discovery pipelines that combine semantic retrieval, curriculum alignment, and real-time personalization
Build agentic assistants that help teachers plan lessons, adapt instruction, and reduce repetitive tasks
Collaborate closely with product managers, designers, and curriculum experts to translate high-level educational goals into scalable ML-powered systems
Coach and mentor junior ML engineers and data scientists, fostering technical and professional growth

What we offer

Competitive salary
Meaningful equity
Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance
One Medical membership (in participating locations)
Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year
10 paid sick days per year (pro rated depending on start date)
Paid holidays
Paid bereavement leave
Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State
Commuter and FSA plans

Fulltime

Machine Learning Officer - Junior

Inetum is a European leader in digital services with a team of 28,000 consultant...

Location

Portugal , Lisbon

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Ability to explain the results of a model and the different elements impacting it
Statistical and quantitative analysis skills (e.g., machine learning models, statistical models, Bayesian statistics, probability theory, time series analysis
Knowledge of at least one ML development stack (e.g., scikit-learn, keras, …)
Knowledge of NLP techniques
Fluent English
Effective Programming skills (e.g., Python, R, Java, Go) and algorithmic knowledge
Knowledge of databases and associated tools (SQL and NoSQL)
Familiarity with continuous integration tools (pref. Jenkins, Git)
Knowledge of deep learning architectures and frameworks (e.g., PyTorch, TensorFlow,…)
Ability to think abstractly and creatively

Job Responsibility

Develop End to End Product Lifecycle: Develop Machine Learning (ML) and Artificial Intelligence (AI) solutions i.e., collect and label data, setup and train models, test and evaluate results
Develop, modify, and support in-house applications, working together with the data scientists and developers of the AC team
Work closely with clients during all stages of the application life cycle
Design the most adequate approaches to solve the identified problems within the company’s framework
Implement and assist the deployment and maintenance of models and software’s: Follow industry best practices to implement and scale out the developed solutions into production grade software
Assist the operational teams with the deployment, monitoring and maintenance of the developed solutions
Contribute to disseminate a culture of data driven solutions within CIB
Maintain a strong market watch on the latest developments on methodologies, technologies and tools

What we offer

Inetum certified Top Employer Europe 2025
Opportunity to grow expertise and create digital impact

Senior Machine Learning Engineer

We’re seeking a Senior Machine Learning Engineer (P50) to join our new GenAI Mod...

Location

Singapore

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Extensive experience (generally 5+ years) in ML systems engineering, backend engineering, or infrastructure roles
Strong background in one or more of: LLMs, NLP, search/retrieval, embeddings, or applied ML
Hands-on experience with at least one GenAI area: RAG pipelines, fine-tuning, hybrid retrieval, or orchestration frameworks
Proficiency with modern ML frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex)
Familiarity with vector databases (Weaviate, Pinecone, FAISS, etc.) and large-scale serving infra
Strong coding skills (Python, backend engineering) and ability to move fast from idea to prototype
Comfort working in fast-paced, experimental environments with evolving direction
Bachelor’s or Master’s in Computer Science, Machine Learning, or related field—or equivalent experience

Job Responsibility

Build and apply advanced GenAI models
Develop and fine-tune LLMs and embeddings for Atlassian’s unique knowledge and enterprise data
Implement retrieval-augmented generation (RAG), hybrid retrieval, and knowledge-grounded modeling approaches
Work hands-on with modern frameworks, contributing directly to high-value prototypes and experiments
Prototype and experiment quickly
Build proof-of-concept systems for GenAI-powered assistants, agentic workflows, and innovative user experiences
Run experiments, collect feedback, and iterate fast to validate impact
Design and implement evaluation methods for quality, groundedness, and user value
Collaborate and contribute
Work closely with peers across ML, engineering, and product teams to bring new ideas to life

What we offer

Health and wellbeing resources
Paid volunteer days

Machine Operator Assistant

An opportunity currently exists for a Machine Operator Assistant to join our bus...

Location

Australia , Sydney

Salary:

Not provided

Polycell (NSW) Pty Ltd

Expiration Date

Until further notice

Requirements

Experience in handling and operating machines
Basic engineering background to assist in the manipulation of machines
Preferably hold a current forklift license
Willing to follow procedure and learn to use technology
Excellent ability to work independently as well as in a team environment

Job Responsibility

Operation of machines
Inspection of mechanical components and documentation of results
Working in fast-paced production lines, ensuring quality and reliability
Flexibility to work overtime hours as and when required

Fulltime

Pouch Machine Assistant

Launch into your career as a Pouch Assistant (PA). We train you on the job so no...

Location

Australia , Melbourne

Salary:

Not provided

ePac Flexible Packaging

Expiration Date

Until further notice

Requirements

Possess and foster a positive attitude of learning and respect
Ability to understand and follow verbal and written directions
Ability to take ownership of work and also work as part of a team
Strong verbal communications skills
Visual acuity to color consistency
Manual coordination and dexterity
Ability to use basic hand tools
Be able to work safely around operating machinery

Job Responsibility

Assist Pouch Operator with Pouch Machine
Correctly set up and run machine to expedite quality and run speed
Maintain Production standard of quality and effective run rate
Follow established material handling procedure
Follow all instructions on work order and safe operating practices (SOP)
Maintain Quality control check sheet, and Production and waste reports
Check pouch quality continually during production run
Inform Pouch Operator of any defective material, maintenance issues and safety issues
Stage proper equipment and secondary packaging (boxes, pallets, labels, etc.) necessary for production jobs based on production schedule
Clean and maintain equipment in preparation for next production run

What we offer

We are fun, we believe ‘one team = dream team’
We are innovative in the market, using the latest technology to drive value for our customers
ePac is built to harness the full power of digital technology, today and into the future
We welcome new ideas and our people are passionate to grow a fast-paced start up across Australia and NZ
We provide exceptional customer service, help our customers grow, support the communities and local businesses we serve and develop sustainable solutions for the environment

Fulltime

Machine Learning Assistant

Brighter AI

Location:
Germany , Berlin

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 19, 2026

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