Software Engineer, Machine Learning

United States Digital Space LLC; Singapore; On-site; SGD 120,000 - 210,000; Full time

Benefits offered by this job

Benefits package

Job summary

United States Digital Space LLC in Singapore is seeking talented software engineers to join our teams in building cutting-edge products that connect billions of people. You will work on challenging ML-enabled applications across mobile and web platforms, shaping user experiences and driving impact globally.

As a senior engineer, you will mentor peers, lead initiatives, and design scalable systems while collaborating with product, design, and operations to deliver features with speed and quality.

Qualifications

• Bachelor's degree or equivalent in CS/engineering; 8+ years coding or 4+ years with PhD.
• Proven track record leading complex ML/DS projects.
• Experience translating data insights into actionable software decisions.
• Strong collaboration across product and design.

Responsibilities

• Collaborate with cross-functional teams to build AI-enabled experiences.
• Implement UI components using modern tech stacks.
• Analyze code for quality, performance; participate in code reviews.
• Lead initiatives; mentor peers and onboard new engineers.
• Architect scalable systems for complex applications.
• Identify performance bottlenecks and reduce technical debt.

Skills

8+ years programming

Leadership experience

Data-driven problem solving

Education

Bachelor's degree in CS or related field

Master's degree or PhD preferred

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

the company is seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.

Software Engineer, Machine Learning Responsibilities:

• Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
• Implement custom user interfaces using latest programming techniques and technologies
• Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
• Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
• Architect efficient and scalable systems that drive complex applications
• Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
• Work on a variety of coding languages and technologies
• Establish ownership of components, features, or systems with expert end-to-end understanding

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 8+ years of programming experience in a relevant language OR 4+ years experience with a PhD
• Demonstrated experience driving change within an organization and leading complex technical projects
• Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions

Preferred Qualifications:

• Masters degree or PhD in Computer Science or a related technical field
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Grasp of data structures and algorithms, including graph theory and optimization techniques
• Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Understanding of information retrieval concepts, such as indexing, querying, and ranking
• Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, the company offers benefits. Learn more about benefits at the company.