Job Closed
This listing is no longer active.
AI-powered object detection & 3D simulation environments at planet-scale.
Software Engineer – Machine Learning
Location
Austria
Posted
58 days ago
Salary
€56K / year
Seniority
Senior
Job Description
Software Engineer – Machine Learning
blackshark.ai
• Build and optimize ML orchestration pipelines that coordinate model training and inference across distributed worker pools • Design resilient, high-throughput services that process terabytes of geospatial imagery through GPU-accelerated inference • Develop the APIs and abstractions that allow customers to chain, filter, and compose AI models for complex detection workflows • Collaborate with ML Researchers to put new models in production • Tackle memory optimization, GPU autoscaling, and resource scheduling challenges unique to large-scale imagery processing
Job Requirements
- Strong practical knowledge of Python with experience building production systems
- Experience designing and operating distributed systems or data pipelines
- Familiarity with async processing patterns, task queues, and worker pool architectures
- Solid understanding of PostgreSQL and data modeling
- Strong software engineering fundamentals: testing, CI/CD, observability, reliability
- You're outcome-oriented and comfortable navigating ambiguity to deliver results
- Ideally:
- Experience with ML infrastructure, model serving, or training pipelines
- Hands-on experience with Kubernetes in production environments
- Familiarity with GPU workloads and the unique challenges of ML at scale
- Experience with geospatial data formats (GeoTIFF, COG, STAC) or imagery processing
- Background deploying systems in regulated or air-gapped environments
Benefits
- Real impact at scale: Your work powers AI inference across imagery of entire countries, supporting defence, intelligence, and humanitarian applications
- Diverse deployment challenges: Build systems that run in AWS, on customer infrastructure, or on a laptop in the field—each with unique constraints
- Growth trajectory: Join ahead of our Series B as we expand into new markets and scale the platform
- Strong technical culture: Work alongside ML Engineers, GIS specialists, and infrastructure experts solving novel problems in geospatial AI
- Healthy work-life balance with flexible working arrangements
- Competitive compensation with personalized benefits including learning opportunities, mental well-being programs, and healthcare
Related Guides
Related Job Pages
More Machine Learning Engineer Jobs
• Work with our psychometricians and data scientists to define a research problem, design an experiment, implement the study, and write up results • Write code in Python using machine learning frameworks and libraries to ingest and clean data, build models, and evaluate results • Document, archive, and present work on the project • Work as part of a multi-disciplinary team discussing methods and results of this project and others
Cambium Learning® Group is an award-winning educational technology solutions leader dedicated to helping all students reach their potential through individualized and differentiated instruction. Using a research-based, personalized approach, Cambium Learning Group delivers SaaS resources and instructional products that engage students and support teachers in fun, positive, safe and scalable environments. These solutions are provided through Learning A-Z® (online differentiated instruction for elementary school reading, writing and science), ExploreLearning® (online interactive math and science simulations, a math fact fluency solution, and a K–2 science solution), Voyager Sopris Learning® (blended solutions that accelerate struggling learners to achieve in literacy and math and professional development for teachers), and VKidz Learning (online comprehensive homeschool education and programs for literacy and science). We believe that every student has unlimited potential, that teachers matter, and that data, instruction, and practice are the keys to success in the classroom and beyond. Job Location: Fully remote. Candidates must reside and work within the United States. Job Overview: We are looking for a summer intern to join our machine learning team. This team focuses on the modelling of unconstrained text to help our educational assessment programs, primarily with transformer-based deep learning models. This project will involve: building predictive models to estimate the difficulty of reading language arts and mathematics items using fine-tuned large language models and traditional machine learning techniques; incorporating predictions into Bayesian priors that can be integrated with standard IRT parameter estimation methods; and evaluating predictive models using standard metrics such as RMSE. Job Responsibilities: - Work with our psychometricians and data scientists to define a research problem, design an experiment, implement the study, and write up results - Write code in Python using machine learning frameworks and libraries to ingest and clean data, build models, and evaluate results - Document, archive, and present work on the project - Work as part of a multi-disciplinary team discussing methods and results of this project Job Requirements: - Enrolled in a data science, computer science, mathematics, linguistics, psychometrics, or educational measurement Master’s or Ph.D. program - Experience working with text and natural language processing tools - Coding ability with Python and R - Familiarity with item response theory, and Bayesian statistics preferred - Ability to work independently and collaborate effectively within a team To apply for this opportunity, simply click on the “Apply” button and submit a cover letter and resume. An Equal Opportunity Employer We are dedicated to fostering a culture that celebrates unique backgrounds, ideas, and experiences. All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, gender, gender identity/expression, sexual orientation, national origin, protected veteran status, or disability.
Learning and Development Generalist
Navitus Health Solutions, LLCNavitus - Putting People First in Pharmacy - Navitus was founded as an alternative to traditional pharmacy benefit manager (PBM) models. We are committed to removing cost from the drug supply chain to make medications more affordable for the people who need them. At Navitus, our team members work in an environment that celebrates diversity, fosters creativity and encourages growth.
Company Navitus About Us Navitus - Putting People First in Pharmacy - Navitus was founded as an alternative to traditional pharmacy benefit manager (PBM) models. We are committed to removing cost from the drug supply chain to make medications more affordable for the people who need them. At Navitus, our team members work in an environment that celebrates diversity, fosters creativity and encourages growth. We welcome new ideas and share a passion for excellent service to our customers and each other._____________________________________________________________________________________________________________________________________________________________________________________________________________. Current associates must use SSO login option at https://employees-navitus.icims.com/ to be considered for internal opportunities. ____________________________________________________We are committed to providing equal employment opportunity to all applicants and employees and comply with all applicable nondiscrimination regulations, including those related to protected veterans and individuals with disabilities. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, or handicap. Pay Range USD $65,686.00 - USD $79,140.00 /Yr. STAR Bonus % (At Risk Maximum) 5.00 - Salaried Non-Management except pharmacists Work Schedule Description (e.g. M-F 8am to 5pm) M-F 8am to 5pm Remote Work Notification ATTENTION: Navitus is unable to offer remote work to residents of Alaska, Hawaii, Maine, Mississippi, New Hampshire, New Mexico, North Dakota, Rhode Island, South Carolina, South Dakota, West Virginia, and Wyoming. Overview Due to growth, we are adding a Learning and Development Generalist to our team. The Learning and Development Generalist supports enterprise‑wide people development strategies as part of the Learning Services Center of Excellence. This role functions as a learning specialist responsible for the design, delivery, and evaluation of engaging virtual, in‑person, and video‑conferenced learning experiences for associates across the organization. The position partners closely with business leaders, subject matter experts, and Human Resources Business Partners to assess learning needs and develop targeted solutions, while also executing the operational aspects of learning programs, including learning technology administration, training coordination, and measurement of learning effectiveness. Is this you? Find out more below! Responsibilities How do I make an impact on my team? - Facilitate enterprise-wide professional development programs for associates at all levels. - Design, develop, and deliver interactive training sessions, workshops, and other learning opportunities in virtual, in-person, instructor-led, and asynchronous formats Guide productive and positive group discussions amongst learners and coach learners on emotional intelligence, relationship-building, and leadership skills. - Coach learners at all levels on skills related to emotional intelligence, relationship-building, and more. - Partner with business units, SMEs, department-based trainers and/or HR Business Partners to conduct needs assessments and identify skill and behavior gaps. - Develop SCORM-compliant e-learning courseware and video-based training aligned to organizational priorities. - Measure, evaluate, and track learning effectiveness using meaningful metrics and feedback; ensure outcomes are equitable across learner populations. - Serve as site administrator for the corporate learning management system, supporting department‑based trainers and advancing enterprise learning standards. - Ensure learning delivery readiness for in‑person training experiences in partnership with coordinators. - Contribute to and sometimes lead Human Resource planning, associate engagement, and organizational development initiatives. - Model development by completing continuing education on an annual basis. - Travel as needed to support in‑person learning delivery. - Other duties as assigned. Qualifications What our team expects from you? - Bachelor’s degree in Adult Education, Training, Organizational Development, or related field, or equivalent work experience, required. - 3 years of experience in a learning and development role required. - Intermediate knowledge of Microsoft Office (Word, PowerPoint, Excel, and Outlook) required. - Experience with at least one e-learning authoring tool (e.g., Adobe Captivate, Articulate, or Lectora) strongly preferred. - Experience with at least one learning management system (LMS) strongly preferred. - Experience supervising and leading team of direct reports preferred. - Participate in, adhere to, and support compliance program objectives. - The ability to consistently interact cooperatively and respectfully with other employees. What can you expect from Navitus? - Top of the industry benefits for Health, Dental, and Vision insurance - 20 days paid time off - 4 weeks paid parental leave - 9 paid holidays - 401K company match of up to 5% - No vesting requirement - Adoption Assistance Program - Flexible Spending Account - Educational Assistance Plan and Professional Membership assistance - Referral Bonus Program – up to $750! #LI-Remote Location : Address Remote Location : Country US
• Product development • Prototype new modeling methodologies for incorporation into our global suite • Work directly with our ML engineering team to identify issues and guide them on requirements • Write data pipelines and ETL for non‑standard or new modeling use cases • Build new dashboards and reports to provide insights to clients on model performance and impact, leveraging our proprietary BI toolkit • Help document methodologies, tool usage, and business logic • Support client implementation teams executing complex modeling tasks on our enterprise ML ops platform • Perform complex or custom data engineering where needed to support strategic clients • Train ML models for underwriting, targeting, and other applications where needed • Test new product features and algorithms, and verify accurate implementation ahead of live release to our global client base • Implement bug fixes and upgrades to Experian methodologies in credit‑related business logic, including Bureau Inferencing modifications


