Machine Learning Engineer - Recommendation Systems

Location: London (Office)

Compensation: $250K - $300K

We are a high-growth software development company and a team of elite builders, known for our contributions to one of the largest crypto social networks globally. Our pioneering platform allows anyone to create a coin in under one minute for free, establishing itself as the home for memecoin creation and trading on Solana. The platform has generated over $700 million in revenue and is focused on building the future of social crypto. We are seeking a Machine Learning Engineer to build and scale our core recommendation systems.

You will be responsible for designing, building, and deploying the machine learning systems that drive user discovery and engagement across our rapidly growing platform. This is a high-impact role requiring end-to-end ownership of critical features, ensuring our models scale effectively to handle significant real-time volume and user activity.

Key Responsibilities:

About the Job

Join Excelya, where Audacity, Care, and Energy define who we are and how we work. We believe in creating bold solutions and fostering an inclusive environment where collaboration and individual growth go hand in hand.

This role is an exciting opportunity to contribute to a dynamic, ambitious team in Bangalore. You will play a critical part in driving innovation and making an impact in the clinical research space, while enjoying a stimulating professional environment that encourages personal and intellectual growth.

Main Responsibilities:

1.      Responsible for programming using DMW Oracle and Oracle OAC.

2.     Will design the data model in DMW according to sponsor standards.

3.     Responsible to write data transfer protocol for external data vendors integration from specifications provided by Sponsor

4.     Responsible to manage external data loading and integrations in DMW

5.     Archives Data Management programming documentation. 

Requirements

At Excelya, taking audacious steps is encouraged, so we’re looking for individuals who are ready to grow with us and share our values.

Experience: 3 years or more years as OP or equivalent combination of education, training, and experience 

Skills:  

Role Purpose:

The Cloud DevSecOps Engineer is responsible for designing, implementing, and securing cloud-based infrastructure and CI/CD pipelines. The role ensures seamless automation, robust security integration, and efficient monitoring of systems across OCI and GCP environments to enable secure, scalable, and high-performing applications.

Key Responsibilities:

1. CI/CD Pipeline & DevSecOps

• Design, build, and secure CI/CD pipelines using GitHub Actions.

• Integrate automated security testing (SAST/DAST) using SonarQube and related tools.
• Implement and manage GitOps workflows for continuous delivery using ArgoCD.

2. Cloud Infrastructure & Automation

GoMining is seeking a highly skilled Database Engineer to join our team and ensure the performance, scalability, and reliability of our databases. This role is ideal for someone passionate about data architecture, high-performance database systems, and large-scale analytics in fast-paced fintech and crypto environments.

You will play a critical role in designing database solutions, optimizing queries, managing replication, and ensuring data integrity.

Responsibilities:

Database Architecture & Design

• Design, implement, and optimize database schemas for high-performance applications.
• Develop strategies for data partitioning, replication, and scaling.
• Evaluate and implement new database technologies for performance and reliability.

Maintenance & Optimization

• Monitor database performance and implement query optimization, indexing, and caching strategies.
• Manage backup, restore, and disaster recovery plans.
• Conduct capacity planning and performance tuning for production workloads.

Collaboration & Support

Staff Software Engineer, Machine Learning

Location: Burlingame, CA (On-site, 4 days a week)

Compensation: $145,000 -$250,000 (Base Salary) + Equity Options

We are a rapidly growing AI company applying Large Language Models (LLMs) to transform a critical, high-impact domain within the healthcare industry. We're looking for a highly skilled and experienced Staff Software Engineer, Machine Learning to drive the architecture and scaling of our LLM backend systems.

This role is ideal for an engineer who thrives at the intersection of backend architecture and applied AI, designing the APIs, data pipelines, and infrastructure that make LLMs reliable, secure, and cost-efficient in production. Join us and help push LLMs beyond demos into mission-critical healthcare workflows.

Job Description 🖥️

As a Staff Software Engineer, you’ll be a technical leader responsible for the end-to-end delivery of our core LLM backend projects, setting the engineering best practices, and mentoring peers in system design.

Key Responsibilities:

Location: San Francisco, CA (Hybrid - 4 days/week in-person)

Compensation: $125,000 - $200,000 (Base Salary) + Equity Participation

We are a rapidly growing, well-capitalized health tech company pioneering the use of Generative AI and Voice Agents to transform patient communication. Our platform has already handled hundreds of thousands of patient interactions across over a hundred clinics, and we are scaling fast. We are looking for a product-minded Senior Software Engineer to build and scale the intelligent systems that make exceptional healthcare accessible anytime, anywhere.

As a Senior Software Engineer, you will play a critical role in developing our AI-powered communication platform, working alongside world-class engineers and founders. You will have a high degree of autonomy and be involved in key product decisions from the ground up.

Key Responsibilities:

Senior Infrastructure Software Engineer

Location: Hybrid in Miami, Florida

Compensation: $200,000 - $250,000 (Base Salary) + Competitive Equity

We are the world's leading AI medical information platform, backed by top-tier investors and trusted by healthcare professionals at over 10,000 care centers worldwide. Our mission-critical platform powers medical AI used by healthcare providers globally. We are seeking a Senior Infrastructure Software Engineer to architect and scale our infrastructure ecosystem in a demanding, rapid-iteration environment.

As a key member of the Core Engineering team, you will have significant autonomy to make architectural decisions and drive initiatives across service reliability, data pipelines, and security for our large-scale medical AI platform.

Responsibilities:

Location: New York, NY (100% On-site)

Compensation: $150,000 - $200,000 (Base Salary) + Competitive Equity

We are a rapidly growing, well-funded technology company operating at the intersection of AI, data, and life sciences. Our mission is to accelerate the path for patients to receive life-changing therapies by simplifying insurance, affordability, and pharmacy supply chain complexities. We are seeking a high-impact Analytics Engineer to build the data foundation that powers how we operate, measure, and grow.

As an Analytics Engineer, you'll be an owner of our data infrastructure, ensuring that clean, trustworthy, and decision-grade data is available across the company. This is a highly autonomous, cross-functional role that directly impacts company growth and client success.

If you join, you will:

Tiger Analytics is one of the fastest growing advanced analytics consulting and Engineering services firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and Al, and our engineers bring innovative engineering techniques to enable scalable data platforms and data products that are insights driven. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking to hire a Data Architecture Lead to design, develop, and govern the organization’s end-to-end data ecosystem. This role will define the vision, strategy, and roadmap for how data is collected, integrated, stored, and accessed to enable digital transformation, AI/ML, and advanced analytics initiatives.

Requirements

Software Engineer (Early Team Member)

Location: San Francisco, CA (On-site)

We are a rapidly growing, well-funded startup building an innovative AI-powered productivity tool for professional teams. We help users capture, organize, and utilize insights from their daily conversations, making every meeting more valuable. You'll be joining a small, high-impact team of experienced engineers as employee #5 and play a crucial role in shaping our product and technical foundation.

This is an end-to-end engineering role where you will take ownership of features from conception to deployment. We're looking for a highly motivated and quality-focused individual who takes pride in their craft.

What You'll Do: