Machine Learning Engineer developing AI - first dating solutions at Hinge, enhancing user matchmaking and conversation experience. Collaborating with cross - functional teams to move ML models to production.
About the role
- Senior AI/ML Engineer at Handoff focusing on machine learning solutions for construction tech. Leveraging advanced techniques to solve real-world business problems and improve product offerings.
Responsibilities
- Apply traditional and modern ML techniques to build solutions that address key business challenges, such as enhancing estimate accuracy or streamlining AI agent features.
- Utilize our extensive blueprint dataset to explore and develop innovative computer vision solutions, driving unique value in our product offerings.
- Identify and implement the most effective ML tools and approaches, ensuring alignment with both immediate project goals and broader business needs.
- Establish evaluation frameworks to measure and improve the effectiveness of deployed models, iterating based on results to achieve reliable outcomes.
- Work closely with engineering, product, and other stakeholders to integrate ML solutions seamlessly into production, ensuring scalability, reliability, and user-centric design.
- Keep abreast of advancements in both computer vision and machine learning research, adopting promising methods to enhance our capabilities.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
- 5+ years of experience in machine learning, with a proven ability to apply techniques across domains like NLP, computer vision, and predictive analytics.
- Proficiency in foundational ML tools: **Pandas**, **NumPy**, **OpenCV**, and **scikit-learn**.
- Experience with deep learning frameworks such as **TensorFlow **or **PyTorch**.
- Familiarity with working on computer vision tasks, such as image recognition, object detection, and processing large datasets like blueprints (e.g.** YOLOv8**, **Detectron**, and others).
- Hands-on experience with data engineering tools (e.g., SQL, Apache Airflow) for building pipelines.
- Knowledge of cloud platforms (AWS, GCP, or Azure) for deploying ML solutions.
- A team player who communicates effectively with cross-functional teams to ensure alignment and success in delivering impactful solutions.
- Strong analytical skills and the ability to work effectively with proprietary datasets to unlock innovative solutions.
- Proficiency in English, both written and verbal.
Benefits
- Competitive salary in USD
- Attractive stock options
- Unlimited PTO
- Relocation Allowance
- We’ll set you up with all the equipment you need - and you can choose the laptop!
- Get ready for regular team offsites around the world. Our 2024 offsites were in Poland, Mexico and Florida.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior ML Engineer designing and developing machine learning models for national security. Collaborating with cross - functional teams to deliver scalable solutions in defense applications.
Machine Learning Engineer developing and deploying ML planning algorithms for autonomous trucks. Join Plus, a leader in AI - based virtual driver software for autonomous trucking.
Intern for Servo Engineering at Seagate, integrating AI/ML into precision servo design. Collaborating on research and optimization of control algorithms for hard disk systems.
Intern role focused on Machine Learning and Generative AI projects for Seagate's innovative data solutions. Contributing to precision - engineered storage initiatives in Singapore.
Senior ML Platform Engineer at GEICO focusing on building scalable machine learning infrastructure and managing AI applications. Responsible for design, implementation, and mentoring within the ML team.
Senior Staff Machine Learning Engineer developing and integrating ML systems for GEICO’s Claims organization. Collaborating on AI - powered capabilities to enhance decision - making and user experience.
Principal Machine Learning Engineer optimizing video recommendation systems for Snap. Collaborating with cross - functional teams to advance machine learning strategies and improve tech stack.
Machine Learning Engineering Manager at Snap Inc. leading engineering teams to develop models for value creation. Responsible for technical evaluations, product scalability, and engineering excellence.
Intern working on servo controller design and AI technologies for hard disk drives. Collaborating on projects involving cutting - edge control systems and presenting findings to engineering teams.