Senior Software Engineer - Machine learning
Senior Software Engineer - Machine learning
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Job Description
Your opportunity
What youll do
- Work alongside Data Scientists and Data Engineers to turn machine learning research concepts into scalable productiongrade components.
- Inspire engineering goodpractices regarding design and coding
- Design and implement pipelines for large scale data collection analysis and persistence as well as training and serving machine learning based models.
- Collaborate with various engineering teams across the organization integrating machine learning capabilities into multiple products.
This role requires
- 6 years of professional experience as a software developer in the industry
- 3 years of experience working on ML DS and AI projects.
- Expertise with Python and Golang
- Prior experience of developing micro services (REST and gRPC) at scale in Golang.
- Experience with AWS services
- Experience of working on infrastructure as a code (e.g. Terraform K8S)
- Experience with machine learning frameworks such as TensorFlow PyTorch or ScikitLearn
- Strong understanding of machine learning algorithms and data structures and model training and model optimisation.
- Experience with containerization using Docker
- Experience with DevOps tools such as Jenkins Kubernetes or CircleCI
- Knowledge of security and compliance regulations
- Strong problemsolving skills and attention to detail
- Excellent communication and collaboration skills
- Experience with Agile development methodologies and version control systems such as Git
- Strong understanding of software development principles and best practices
Bonus points if you have
- Contribution to open source projects
- Experience working with or building GraphQL schemas
- Experience building and maintaining high throughput pipelines and distributed systems
- Experience working on an Observability product especially in the SaaS vendor space
Please note that visa sponsorship is not available for this position.
Fostering a diverse welcoming and inclusive environment is important to us. We work hard to make everyone feel comfortable bringing their best most authentic selves to work every day. We celebrate our talented Relics different backgrounds and abilities and recognize the different paths they took to reach us including nontraditional ones. Their experiences and perspectives inspire us to make our products and company the best they can be. Were looking for people who feel connected to our mission and values not just candidates who check off all the boxes.
If you require a reasonable accommodation to complete any part of the application or recruiting process please reach out to .
We believe in empowering all Relics to achieve professional and business success through a flexible workforce model. This model allows us to work in a variety of workplaces that best support our success including fully officebased fully remote or hybrid.
Our hiring process
In compliance with applicable law all persons hired will be required to verify identity and eligibility to work and to complete employment eligibility verification. Note: Our stewardship of the data of thousands of customers means that a criminal background check is required to join New Relic.
We will consider qualified applicants with arrest and conviction records based on individual circumstances and in accordance with applicable law including but not limited to theSan Francisco Fair Chance Ordinance.
Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. New Relic does not accept unsolicited headhunter and agency resumes and will not pay fees to any thirdparty agency or company that does not have a signed agreement with New Relic.
Candidates are evaluated based on qualifications regardless of race religion ethnicity national origin sex sexual orientation gender expression or identity age disability neurodiversity veteran or marital status political viewpoint or other legally protected characteristics.
Review our Applicant Privacy Notice athttps://newrelic/termsandconditions/applicantprivacypolicy
Required Experience:
Senior IC
Employment Type
Full Time
