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Senior Machine Learning Engineer - Automatic Speech Recognition (ASR)
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About the role:
At Cresta, we are dedicated to building state-of-the-art Machine Learning systems that power real-time, intelligent customer interactions. Our team develops models and platforms that process large-scale, multimodal data—especially speech and text—to extract meaning, improve quality, and deliver actionable insights at scale. By combining applied research with strong engineering discipline, we enable organizations to continuously improve AI-driven experiences in production environments.A key focus of this role is advancing model evaluation, measurement, and quality improvements, with particular emphasis on Automatic Speech Recognition (ASR) and downstream NLP systems. You will design rigorous evaluation frameworks, define quality metrics, and drive systematic improvements to model accuracy, robustness, and reliability. You will work closely with applied researchers, product teams, and platform engineers to ensure that model performance improvements translate into measurable business impact.As a Senior Machine Learning Engineer, you will be at the forefront of applying modern ML and speech/NLP techniques to production systems. Your work will focus on improving ASR quality, building scalable evaluation and benchmarking infrastructure, and enabling continuous model iteration through data-driven insights.
- Design, implement, and maintain evaluation frameworks to measure model accuracy, robustness, latency, and real-world performance across ASR and NLP systems.
- Lead ASR quality improvement efforts, including error analysis, dataset curation, metric definition (e.g., WER and task-specific metrics), and model iteration.
- Analyze large-scale speech and text data to identify failure modes and drive targeted model and data improvements.
- Develop, train, and deploy machine learning models for speech recognition and downstream tasks such as classification, entity recognition, information extraction, and structured insight generation.
- Partner with applied research to translate experimental improvements into production-ready systems.
- Collaborate with product managers, platform engineers, and UX teams to align model quality metrics with customer and business goals.
- Optimize ML pipelines and evaluation workflows to operate efficiently and reliably at scale.
- Establish best practices for model validation, offline/online evaluation, and continuous quality monitoring in production.
- Master’s or Ph.D. in Computer Science, Machine Learning, AI, or a related field.
- 5+ years of hands-on experience building, evaluating, and deploying ML models in production.
- Strong background in speech recognition (ASR), speech processing, or closely related domains.
- Deep experience with model evaluation, benchmarking, and error analysis for ML systems.
- Proficiency with ML frameworks and libraries (e.g., PyTorch, TensorFlow, Hugging Face).
- Solid understanding of modern ML techniques, including transformer-based models and large-scale training.
- Experience building data pipelines and tooling for large-scale experimentation and quality analysis.
- Strong passion for improving real-world AI system quality, with a track record of delivering measurable, production-grade improvements.
Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.
This posting will be used to fill a newly-created role.
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai
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Apply to CrestaJava Backend Engineer
Hybrid, Bucharest, Romania
JOB OVERVIEW
The Legion application is a high-performance data-driven Java enterprise application that implements sophisticated scheduling and optimization algorithms. It also provides the necessary endpoints for our Web and mobile frontend applications. As a Senior Software Engineer, you will be a member of the team responsible for the implementation and evolution of this application. You will need to be able to write secure, efficient, enterprise-quality Java code, and have a deep understanding of the techniques and technologies that are necessary for scalability and performance. You will also need knowledge and experience with data modeling and relational databases. Our application runs on AWS, so experience with containerization and cloud deployments is desirable. We're using Springboot, Hibernate, MySQL, and JSON, so familiarity with these technologies will be helpful. Frontend experience in JavaScript and Angular and/or React is a big plus.
RESPONSIBILITIES AND DUTIES
- Develop features with high quality and on-time
- Thorough understanding of product area
- Assist with feature design along with CTO/Architect
- Develop features keeping in mind best coding practices including performance and user experience
- Own product quality
- Test features before asking QA engineers to test
- Write unit tests
- Work with QA engineers to test the product end-to-end
- Fix incoming bugs daily: Adhere to bug resolution goals and SLA
- Be able to demo the Legion product end-to-end
- Devise robust solutions that enable product engineering teams to rapidly deliver features in a scalable and performant manner
- Design, build, and support applications from End to End.
- Make data-driven technical decisions
- Use your deep technical knowledge to debug and solve complex technical problems
- Identify and resolve ambiguities in requirements in consultation with the various stakeholders
- Contribute to the long-term team charter and quarterly planning
- Mentor others on the team, and hold a high bar for code quality and standards by conducting design reviews, code reviews, and providing feedback
- Work with QA team to make the feature as Production ready.
REQUIRED SKILLS AND QUALIFICATIONS
- Bachelor's Degree in Computer Science, Engineering or related discipline
- Strong individual contributor with the ability to research
- 3-5 years with backend technologies (Java, Spring Boot, MySQL)
- 3-5 years working on building multi-tenant SaaS applications
- 3-5 years experience with designing and building APIs
- 3+ years delivering software in a cloud-based environment (AWS, GCP, Azure)
- Professional software development experience
- Proficiency in Java or C++, and object-oriented design skills
- Application architecture and design patterns
- Experience serving as technical lead throughout the full software development lifecycle, from conception, architecture definition, detailed design, scoping, planning, implementation, and testing to documentation, delivery, and maintenance is preferred
- Knowledge of professional software engineering and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Experience in the development of distributed/scalable systems and high-volume transaction applications
- Proven ability to lead projects from inception to production
- Strong mastery in communication skills, software architecture design, writing technical documents
- Strong personal work ethic focused on prioritization, being action-oriented, and being driven to achieve positive results
PREFERRED QUALIFICATIONS AND ATTRIBUTES
- Proactive and able to command respect through intelligence, hard work, and persistence
- Personal passion and fervor for industry-leading next-generation technology
- Ability to operate in an environment with limited resources
- A great communicator who can distill powerful messages that resonate with customers
- Track record of building positive relationships with peers
- Continuous and thoughtful listener, able to learn from others and leverage input
- Strong personal work ethic focused on high-priority issues; action and results-oriented
- Unquestionable integrity, credibility, and character; demonstrated high moral and ethical behavior
- Proficiency with AWS products and services
- Experience in managing frameworks/systems for ensuring code quality such as Coverity, SonarQub, etc.
ABOUT LEGION
Join Legion's mission to turn hourly jobs into good jobs. We're a mission-driven team seeking exceptional talent to propel this vision. Embrace a culture that's collaborative, fast-paced, and entrepreneurial. With us, you'll grow your skills, work closely with experienced executives, and contribute significantly to our mission. Our award-winning AI-native workforce management platform is intelligent, automated, and employee-centric and proven to deliver 13x ROI. We help labor-intensive organizations maximize labor efficiency and employee engagement simultaneously. Legion has earned recognition for its innovation, including spots on the Inc. 5000 list, Forbes’ Next Billion Dollar Startups, and awards for our AI technology. Backed by leading investors such as Norwest Venture Partners, Stripes, First Round Capital, XYZ Ventures, Webb Investment Network, Workday Ventures, and NTT DOCOMO Ventures, we're making real change. If you're ready to make an impact and grow your career, Legion is where you belong. Join us in making hourly work rewarding and fulfilling.
BACKGROUND AND OPPORTUNITY
There are almost 75 million hourly workers in the United States, representing more than half of the entire workforce. Historically, managing hourly employees has been difficult due to high attrition (average of 60%) and high replacement costs (average of $3,200 per employee in retail). The ongoing labor shortage and competition from the gig economy, make it more difficult to attract and retain hourly employees. The top reasons hourly employees leave their jobs are a lack of schedule empowerment, poor communication with employers, and an inability to get paid early. Gen Z and the millennial workforce demand gig-like flexibility, modern technology, and compelling work options. Legion’s mission is to turn hourly jobs into good jobs, serving the hourly workers who make up the majority of the US workforce. We believe in empowering employees and helping employers be efficient and innovative by enabling intelligent automation powered by Legion’s Workforce Management platform to optimize labor efficiency and enhance the employee experience simultaneously.
Legion WFM was built for the cloud with AI at the core and is designed to handle the complexity of modern businesses and meet the needs of today’s hourly employees. Our team is composed of dedicated individuals from all backgrounds and experiences, globally distributed across all time zones. For more information, visit https://legion.co
COMPENSATION & BENEFITS
At Legion, we offer competitive compensation and benefits packages to all employees. As a hybrid employer in Bucharest, Romania, pay for positions is determined using local, national, and industry-specific survey data. We strive to make competitive offers allowing employees room for future growth. Salaries will be based on the applicant’s location, level of experience, education, and specialized knowledge and skills. Additionally, we consider the external market rate, the amount we have budgeted internally, and internal equity within the company for the same position.
Benefits include, but are not limited to:
- Health Benefits
- Paid Time Off and Paid Holidays
- Equity
- Monthly Wellness Reimbursement
- Meal Vouchers
EQUAL EMPLOYMENT OPPORTUNITY
Legion Technologies is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will be considered for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.
DISABILITY ACCOMMODATION
For individuals with disabilities who need additional assistance at any point in the application and interview process, please email recruiting@legion.co
Legion is an equal opportunity employer. All applicants will be considered for employment without attention to race, religion, color, sex, sexual orientation, gender identity, age, national origin, veteran, disability status, or any other basis covered by appropriate law.
How We Determine What We Pay
As a global employer, Legion determines pay for positions using local, national, and industry-specific survey data. We evaluate external equity and the cost of labor/prevailing wage index in the relative marketplace for jobs directly comparable to jobs within our company. Our posted salary range is based on national data and may be refined for a candidate's region/town/cost of living. For new hires, we strive to make competitive offers allowing the new employee room for future growth. Salaries will be based on the applicant’s location, level of experience, education, and specialized knowledge and skills. Additionally, we consider the external market rate, the amount we have budgeted internally, and internal equity within the company for the same position. An employee/candidate with a stronger skill set will receive higher pay.
Job Applicant Privacy Policy
This Job Applicant Privacy Policy (“Policy”) describes how Legion Technologies, Inc. (“Legion”, “we”, “us” and “our”) collects, uses, and discloses “personal information” as defined under California law from and about job applicants who are residents of California.
This Policy does not apply to our handling of data gathered about you in your role as a user of our consumer-facing services. When you interact with us as in that role, the Legion Privacy Policy applies.
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Types of Personal Information We Handle
We collect, store, and use various types of personal information through the application and recruitment process. We collect such information either directly from you or (where applicable) from another person or entity, such as an employment agency or consultancy, background check provider, or other referral sources. This information includes:
- Identification and contact information, and related identifiers such as full name, date and place of birth, citizenship and permanent residence, home and business addresses, telephone numbers, email addresses, and such information about your beneficiaries or emergency contacts.
- Professional or employment-related information, including:
- Recruitment, employment, or engagement information such as application forms and information included in a resume, cover letter, or otherwise provided through any application or engagement process; and copies of identification documents, such as driver’s licenses, passports, and visas; and background screening results and references.
- Career information such as job titles; work history; work dates and work locations; information about skills, qualifications, experience, publications, speaking engagements, and preferences; and professional memberships
- Education Information such as institutions attended, degrees, certifications, training courses, publications, and transcript information.
- Legally protected classification information such as race, sex/gender, religious/ philosophical beliefs, gender identity/expression, sexual orientation, marital status, military service, nationality, ethnicity, request for family care leave, political opinions, and criminal history.
- Other information such as any information you voluntarily choose to provide in connection with your job application.
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How We Use Personal Information
We collect, use, share, and store personal information from job applicants for our and our service providers’ business and operational purposes in the recruitment process such as: processing your application, tracking your application through the recruitment process, contacting references with your authorization, conducting background checks you authorize, and making hiring decisions. We will also use job applicant information for internal analysis purposes to understand the applicants who apply and to improve our recruitment process. We may sometimes need to use applicant information for legal purposes, such as in connection with any challenges made to our hiring decisions.
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With Whom We Share Personal Information
We will disclose job applicant personal information to the following types of entities or in the following circumstances (where applicable):
- Internally: to other Legion personnel involved in the recruiting and hiring process.
- Vendors: such as technology service providers, travel management providers, human resources suppliers, background check companies, and employment agencies or recruiters, where applicable.
- Legal Compliance: when required to do so by law, regulation, or court order or in response to a request for assistance by the police or other law enforcement agency.
- Litigation Purposes: to seek legal advice from our external lawyers or in connection with litigation with a third party.
- Business Transaction Purposes: in connection with the sale, purchase, or merger.
- How to Contact Us About this Policy – If you have any questions about this Policy, please contact privacy@legion.co.
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Apply to Legion