699 IT & Software Developer jobs in the US
Lead Search Engineer (Solr/OpenSearch)
$107,000 - 216,000
Summer Street 300, Boston
$107,000 - 216,000
Requirements
Must:
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- I possess deep expertise in implementing, configuring, and fine-tuning enterprise-grade search solutions, preferably using Solr, with experience in OpenSearch being an advantage.
- I have comprehensive knowledge of information retrieval principles, encompassing both traditional methods (such as TF-IDF and BM25) and advanced neural search techniques, including vector embeddings and transformer-based models.
- I am proficient in container technologies, particularly Kubernetes (preferably AWS EKS) and Docker.
- I have a solid understanding of the software development and delivery lifecycle for large-scale systems.
- I am capable of designing and implementing automation and infrastructure solutions using programming languages such as Python, Groovy, Shell, and NodeJS.
- I have experience with build tools and package managers including helm, maven, npm, and pip.
- I am familiar with observability, monitoring, and logging tools such as Datadog, Splunk, or other OpenTelemetry/APM tools.
- I have experience troubleshooting and resolving complex CI/CD pipelines, release issues, and multi-component system environments.
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Responsibilities
- As a Principal Search Engineer on our Search Platform team, I will play a vital role in shaping, developing, and optimizing our search and content discovery platform, catering to millions of customer requests.
- I will be responsible for implementing and refining hybrid search solutions, utilizing AI/ML techniques to enhance search relevance and user experience.
- My duties will include building, managing, and automating cloud infrastructure to ensure robust and high-performance search functionalities for both internal associates and customers.
- I will collaborate with cross-functional teams to deliver innovative search solutions, contribute ideas for product enhancements, and continuously elevate my technical skills in a dynamic, team-oriented environment.
###
Description
- I hold an advanced degree in Computer Science or a closely related field, or possess equivalent professional experience. - I demonstrate a proven ability to lead technical efforts from initial concept to production deployment and excel in translating business needs into scalable, effective search solutions. - I work collaboratively across organizations to drive successful outcomes, and I have a passion for learning new technologies, particularly in the search and AI/ML domains. - I am comfortable operating within a polyglot development environment and possess excellent verbal and written communication skills. The base salary range for this position is between $107,000 and $216,000 USD per year, with placement in this range depending on job responsibilities, location, candidate's experience, and other relevant factors. This base salary is just a component of the total compensation package, which may also include bonuses or other variable compensation. We provide a wide array of benefits tailored to support your evolving needs, helping you to live your best life both at work and at home. These benefits encompass comprehensive healthcare coverage, emotional well-being support, competitive retirement plans, generous paid time off, parental leave, charitable giving programs, educational assistance such as student loan repayment, tuition reimbursement, and resources to aid in career development. Please note the application window will close once the position is filled or unposted. Most roles are hybrid, requiring associates to be present onsite every other week (Monday through Friday). This does not apply to remote or fully onsite roles.
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You can find Machine Learning Engineer salaries in the United States here.
How many Machine Learning Engineer jobs are in the United States?
Currently, there are 699 ML, AI openings. Check also: TensorFlow jobs, Python jobs, Computer-Vision jobs - all with salary brackets.
Is the US a good place for Machine Learning Engineers?
The US is one of the best countries to work as a Machine Learning Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Machine Learning Engineer jobs in the United States?
bunny.net, AI (Artificial Intelligence) Incorporated, Confidential, Diploma Healthcare Group, Asset Inventories Inc., Render-Up, TeamLogicIT of Charleston, South Carolina among others, are currently hiring for ML, AI roles in the United States.
The company with most openings is Leidos as they are hiring for 127 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.
The company with most openings is Leidos as they are hiring for 127 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.