Olli Health | New York or Remote (US) | Full-Time | Founding Senior Full Stack SDE | www.ollihomehealth.ai

We are a TechStars NYC '24 startup dedicated to modernizing home healthcare with advanced AI tools and we are growing! This is a pivotal hands-on role that will begin shaping our product from day 1. We recently closed our Seed round from top healthtech and AI-focused VCs investors (Cannage Capital, Arkitekt Ventures, and Tau Ventures) and are using this financing to build a driven engineering team to build incredibly valuable tools.

What we’re looking for:

- Proven success in the fast-paced 0 to 1 early days of young startups (experience on founding team or pre-seed ideally). This is a full stack role in the widest sense - there is devops, a little data engineering, API design, workflow optimization, and frontend feature design. Work can be optimized based on your preferred balance, and what gives you energy, but we need someone who is able to gain confidence in the full stack. - Experience (5 years+) with most of our stack: AWS, PostgreSQL, Redis, Python (FastAPI), Pytorch, React - Able to demonstrate hands-on-keyboard coding chops. Role is primarily IC + collaboration with our team, and room to grow into startup leadership. - Experience working with healthcare data (not required but highly valued)

Comp: $160k-$180k annual FTE base comp + equity package. We cover 100% of Health, Vision, Dental, Life insurance premiums.

I’m Olli's CTO and this position will work directly with me and our core (currently 3-person) engineering team. hiring+hn [] ollihomehealth [] ai - Email me with questions, for a full JD, or to send your CV. Absolutely no staffing or recruiting firms, individuals only.

Blackshark AI | Senior Software Engineer & Senior Machine Learning Engineer | Full-time | Austria or Remote EU | VISA sponsorship available

Satellite and drone imagery access is on the rise, and traditional image processing methods are struggling to keep up. Our scalable AI quickly extracts global features, providing real-time, on-demand geospatial insights with impressive speed and accuracy. We are turning months of manual work into mere minutes, and with much better results. Our platform also powers our 3D synthetic solutions, which enable large scale simulations and visualizations. Our applications cover various domains, from intelligence and defense solutions for US and US allies to disaster relief, flight simulation and training, insurance, smart cities, urban planning, and more.

Backend Tech Stack: Python Fast API PostgreSQL Docker RabbitMQ Kubernetes Azure

Deep Learning: Pytorch, Torchvision, scikit-learn

Image Processing: Numpy, PIL, OpenCV, SciPy, scikit-image, matplotlib, kornia

Geospatial: RasterIO, Geopandas, GDAL/OGR, QGIS, ArcGIS

Senior Software Engineer: https://blackshark.sprad.io/etorC

Senior Machine Learning Manager: https://blackshark.sprad.io/TnmuP

or reach out to HM at: 'eivanov@' + username[:-2] + '.' + username[-2:].lower()

eComID | https://ecomid.com | ONSITE | Stockholm, Sweden | Full-time | Machine Learning Engineer (Mid-Senior)

eComID is a Stockholm-based startup dedicated to reducing product returns in the fashion industry. We blend advanced technology with industry insights to deliver solutions that benefit retailers and customers alike. With €2.75 million in funding, we're expanding rapidly and seeking a Machine Learning Engineer to join our team.

We're looking for someone with 2+ years of experience in machine learning or software engineering with ML expertise. You should have a strong foundation in statistics, machine learning, and deep learning, and be comfortable working with technologies like Python, PyTorch, and more. Your role will include building scalable infrastructure, improving AI models, and optimizing machine learning operations.

If you're passionate about impactful work and enjoy tackling steep learning curves, we'd love to hear from you. For more details and to apply, contact us at career at ecomid dot com with the subject "Machine Learning Engineer."

ML6 | Machine Learning Engineer, Data Engineer | Python, TensorFlow, PyTorch, GCP, AWS, Azure | Full-time | Amsterdam, Berlin, Ghent (EU) On-site/hybrid

We are a Machine Learning consulting company that builds end-to-end Machine Learning solutions. By applying the latest AI research, we keep our clients at the forefront of innovation.

If you are interested check out: https://www.ml6.eu/resources/resource-library and https://www.ml6.eu/client-cases

Work on innovative projects for the biggest clients across Europe such as Randstad, ASML, FUNKE, and many more! Whether it’s about leveraging LLMs to improve customer support, building data lakes on cloud platforms to improve storage or implementing models using sensor data for quality control. You can find it all at ML6.

You will mostly work with Python and a range of ML frameworks such as TensorFlow, PyTorch, or HuggingFace Transformers to solve hard Machine Learning tasks and help bring these application into production by building data pipelines and cloud infrastructure on all of the major cloud providers (GCP, AWS, Azure).

We are looking for:

• (Senior) Data Engineer

• (Senior) Software Engineer

• (Senior) Machine Learning Engineer

• Alliance Manager – Azure

• AI Team Lead

• AI Client Executive

• AI Client Partner

• AI Project Manager

• Talent Partner

Apply at: https://jobs.ml6.eu/

Tufa.ai | SRE, SWE, operations manager | Zug, Switzerland | Full-time | Onsite | EU much preferred | 130k-260k CHF

5 years ago, I started a side project to apply ML to crypto trading to finance my own AI research. It has now evolved into a hedge fund with 10 people, 100M+ AUM (mostly prop capital) where we apply ML techniques to trade both crypto and US equities markets.

In addition to creating a sister entity to do fundamental AI research, we want to grow the quant team a bit more. We are looking for the following roles:

- SWE+SRE for infrastructure: exchange connectivity & internal trading software | C++, typescript, some python, AWS

- SWE+quant | Python, PyTorch

- Operations manager | Experience with prop or hedge funds, working with lawyers & accountants, reporting, working with brokers/exchanges in both traditional finance and crypto. Familiarity with scripting and automating processes is a plus.

Our compensation package usually includes the ability to re-invest bonuses in the fund, a bonus scheme (using 30% of profits after costs), and some options.

For all roles, we will hire opportunistically and only consider very strong candidates. Interest for trading/quant finance and/or ML is a big plus.

To apply, email me at not_a_cat at fastmail dot com.

Senior ML Engineer | Ping Data Intelligence | ONSITE (Miami) or REMOTE | Full-Time | https://www.pingintel.com/

Ping Data Intelligence is a dynamic, three-year-old startup in Miami, FL, revolutionizing the property insurance sector with advanced machine learning technologies. Despite rapid growth, we retain the stability of a self-funded, profitable company.

Role Overview: As a Senior Machine Learning Engineer at Ping, you will enhance and develop the core ML systems that handle data extraction from noisy, semi-structured documents. You will work with extensive datasets and have the freedom to acquire additional data or annotations. This position empowers you to influence the future of our ML operations.

Responsibilities: Lead the creation and optimization of ML systems for extracting data from multimodal documents. Oversee projects from inception through deployment, including identifying opportunities, gathering data, conducting experiments, and managing production rollouts. You'll have the flexibility to select the most effective tools, whether they are large language models or classical data processing methods.

Qualifications: Master's or PhD degree in a related field such as computer science, machine learning, or data science is required. Minimum 2 years of experience in machine learning, with a track record of deploying ML models to production. Strong background in applying ML techniques to complex, real-world problems.

Preferable: proven track record of significant publications

Tech Stack: Pytorch, Transformers, Label Studio, Terraform/AWS, Python/Django/DRF, React/Redux/Typescript, Kubernetes/ECS, Redis, PostgreSQL.

Why Join Ping: Be among the first to influence the ML team's direction and the broader engineering culture at Ping. Work with a top-tier team of insurance and tech veterans in a market where Ping is poised for significant impact.

Please apply at jobs@pingintel.com

Balun Energy // Vienna, Austria On-Site // Senior Data Engineer and Senior MLOps Engineer // Full-Time 65-85k Euro + equity

We develop forecasting algorithms for wind and solar power production. Looking for passionate, driven, versatile people. Make a tangible impact towards sustainable energy.

* Small, ambitious, technical team (6 ppl)

* Shape the future of our startup: own, architect, and implement

* Help us solve tough problems in data. E.g. how to reconcile many data sources and create an efficient MLOps architecture?

Must be authorized to work in EU and willing to relocate to Austria.

Tech Stack: Python, Spark, Databricks, PyTorch, AWS, Time Series Forecasting, Meteorology. (you can add things you like to this list)

Send an email to (name in HN profile)@balun.energy to apply.

Resemble AI | San Francisco Bay Area (office in Mountain View, CA) | Full-Time | Full-Stack Engineer

We're creating state of the art Generative Voice AI models. Looking for full stack, frontend and machine learning engineers that would love to create prototypes directly with the founders. Recently, we open sourced a state of the art speech enhancement model: https://github.com/resemble-ai/resemble-enhance

Here's what we're looking for:

Full Stack Engineer - We are seeking a skilled Full Stack Engineer with experience in Next.js or Flask to join our team. The ideal candidate will have a strong background in building and deploying web applications, a passion for working on cutting-edge AI technologies, and the ability to collaborate closely with our founders to create innovative prototypes.

Frontend Engineer - Looking for experts with react who are into building interfaces for powerful ML models. Rails experience is a bonus.

ML Engineer - Looking for engineers that are interested in deploying large foundational models and optimizing inference. Must know PyTorch well. Knowledge of ONNX, TensorRT is bonus.

If interested, reach out directly to me: zohaib [at] resemble.ai

martini.ai | Remote | Worldwide (UTC−05:00) | Full-time | Multiple Roles | $70k - $180k (location-based) + equity Join martini.ai as we transform the $2 trillion private lending industry. We use cutting-edge AI and deep market insights to provide credit risk estimates for private companies.

We are a small, scrappy team (4 engineers + UX consultants + CTO) with VC funding. The co-founders (CEO and CTO) are repeat entrepreneurs, ex-YC, and ex-Wall Street.

We are looking to bring in people to fill multiple roles.

- Senior Full-Stack Software Developer

- Senior Backend / Devops Engineer

- Senior Machine Learning Engineer

- Quantitative Analyst

We need people who are resourceful, independent and curious, who can thrive in a startup environment. But above all we need people who can be generalists; we are a small team and everybody wears multiple hats. So if you're a dev who is looking to learn a bit about finance, or a quant who is looking to learn a bit more about software, martini.ai is the place for you. Prior experience in finance is a huge plus.

Tech stack: Python, Pandas, React, Next.js, AWS, Pytorch

Interested applicants should reach out to me, Martin Dupont, at my email: martin (dot) dupont (at) martini.ai