Lead Software Engineer, Machine Learning at ASAPP

Chennai, Tamil Nadu, India

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

Production experience with Python, AWS, Kubernetes, and/or Docker
Proven skill at debugging complicated systems and writing solid test cases to ensure their stability
Experience implementing technical solutions and tackling tough engineering problems
Bachelor’s Degree in a field of science, technology, engineering or math, or equivalent hands-on experience
Desire to learn new things, work closely with peers from different teams, and open to teach and learn from others
Passion for Machine Learning and solving problems
Hybrid role with 12 days of in-office presence per month (preference for candidates near Bengaluru office)

Responsibilities

Help turn research into meaningful ML products that help tens of millions of users
Improve existing ML models: everything from tweaking the dataset to replacing the entire solution with a whole new method
Assess the risks and merits of different approaches to solving complex problems in the light of the specific requirements and time frame
Actively work on creating and improving tools to parallelize model training, unifying dataset creation and accuracy measurements across experiments
Closely monitor the edge cases of model performance and take active measures to explain the reasons and possible approaches for diminishing undesirable effects
Be actively involved in the process of productizing research experiments into enterprise-ready AI solutions
Encourage and participate in open collaboration within the ML team and across functions, driving best practices, sharing AI/ML advancements and joint problem-solving

Skills

Key technologies and capabilities for this role

Machine LearningNLPGenerative AIML EngineeringSoftware EngineeringScalable AlgorithmsML ModelsData Processing

Questions & Answers

Common questions about this position

Is this a remote role or does it require office presence?

This is a hybrid role with a preference for candidates near the Bengaluru office, requiring 12 days of in-office presence per month to balance flexibility with collaboration.

What technical skills are required for this Lead Machine Learning Engineer role?

Production experience with Python, AWS, Kubernetes, and/or Docker is required, along with proven skills in debugging complicated systems and writing solid test cases.

What is the salary or compensation for this position?

This information is not specified in the job description.

What is the team environment like at ASAPP?

You'll work with a team of talented researchers, engineers, scientists, and specialists, encouraging open collaboration within the ML team and across functions while driving best practices and joint problem-solving.

What makes a strong candidate for this role?

Applicants with production experience in Python, AWS, Kubernetes/Docker, and skills in debugging complex systems are encouraged to apply, especially those passionate about tackling tough ML and NLP problems.

ASAPP

AI tools for enhancing customer service

About ASAPP

ASAPP provides AI-powered tools to improve customer service operations. Their main product is a conversational AI voice and chat agent that accurately transcribes calls, automates call summaries, and generates automated responses to enhance agent productivity. Targeting businesses with high volumes of customer interactions, such as call centers and support departments, ASAPP operates in the customer experience market, which is growing as companies focus on customer satisfaction. They offer their services through a subscription model, allowing clients to access their tools while ensuring ongoing updates. ASAPP's goal is to enhance human performance in customer service by addressing inefficiencies and providing insights that help businesses make informed decisions and improve customer experiences.

New York City, New YorkHeadquarters

2014Year Founded

$369.6MTotal Funding

SERIES_CCompany Stage

Enterprise Software, AI & Machine LearningIndustries

201-500Employees

Benefits

Learning & Development

Comprehensive Health Benefits

Daily Catered Meals

Vacation

401K Program

Family Leave

Risks

Emerging AI startups could erode ASAPP's market share with similar solutions.

Rapid AI advancements may lead to obsolescence if ASAPP doesn't innovate.

Data privacy concerns and regulatory scrutiny could impact ASAPP's operations and client trust.

Differentiation

ASAPP's AI Native products enhance productivity by automating workflows and augmenting human activity.

The CXP platform provides real-time guidance for customer care and sales agents.

ASAPP's machine learning models continuously learn from interactions, improving agent performance without manual programming.

Upsides

CoachingAI automates quality assurance, allowing supervisors to focus on agent coaching.

Frank Slootman's board membership could enhance ASAPP's strategic market positioning.

AutoTranscribe's high accuracy improves contact center efficiency by reducing transcription errors.

Land your dream remote job 3x faster with AI

Try Jobo Free