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Machine Learning Engineer - Mid

Machine Learning Engineer - Mid

Silverthorne Advisory GroupWashington, District of Columbia, United States
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Benefits :

  • Retirement Plan
  • 401(k)
  • 401(k) matching
  • Bonus based on performance
  • Company parties
  • Competitive salary
  • Dental insurance
  • Health insurance
  • Opportunity for advancement
  • Paid time off
  • Training & development
  • Vision insurance

Job Description

As an experienced engineer, you know that machine learning (ML) is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support DoD program offices. As an ML Engineer on our AI-enabled team, you will train, test, deploy, and maintain models that learn from data. In this role, you will own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You will be part of a large community of ML engineers across the firm and collaborate with data engineers, data scientist, solutions architects, and product owners to deliver world class solutions to DoD and Federal clients. Your advanced consulting skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. On our team, you will use your leadership skills and data science expertise to create real-world impact. You will work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You will guide teammates and lead the development of

algorithms and systems. You will use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you will provide a deep understanding of the data, what it all means, and how it can be used.

Responsibilities

  • Establish scalable, efficient, automated processes for large-scale data analysis, machine learning model development, model validation and serving.
  • Optimize machine learning algorithms.
  • Contribute to building an infrastructure that facilitates end-to-end ML workflows.
  • Experience with one or more Deep Learning packages including but not limited to

    • TensorFlow and PyTorch.

  • Explore new technologies like quantum engineering for advanced model development.
  • Collaborate with cross-functional teams to enhance data processing pipelines.
  • Communicate and coordinate with teams to accomplish objectives and deliver excellence.

    • Requirements

  • Secret clearance required (can be sponsored).
  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
  • 4+ years with natural language processing (NLP) topics, including tagging, syntactic parsing, word sense disambiguation, topic modeling, contextual text mining, or application of deep learning to NLP.
  • Strong background in a modern programming language, such as Python or Java, and associated numerical and analytics packages (NUMPY, PANDAS); git; PYTORCH or TensorFlow; CI / CD pipelines and regression testing.
  • Ability to quickly grasp technical concepts and collaborate with multiple functional groups.
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
  • Detail-oriented mindset with a commitment to delivering high-quality results.

    • Nice to Have

  • Recent DoD or IC-related experience.
  • Experience building distributed deep learning libraries or scaling large distributed deep learning workflows using PyTorch (or similar).
  • Experience in machine learning, data mining, information retrieval, statistics, or natural

    • language processing.

  • Experienced in large scale AI and ML infrastructure, AWS ML tools such as SageMaker.
  • Experience in working in an agile development environment.

    • If you are passionate about leveraging your machine learning skills and working with cutting-edge

    technologies to enable efficient data analysis, we encourage you to apply. Join our team and be a part of

    our mission to provide streamlined and rapid access to critical information!

    Benefits

  • Compensation - We carefully consider a wide range of compensation factors, including but not limited to prior experience, skills, expertise, location, and other considerations permitted by law.
  • Healthcare - We offer Health, Vision, and Dental Plans for our employees and their families.
  • Retirement Plan – We invest in your future with a competitive 401(k) plan, where we match 100% of your contributions up to your first 6% and give you access to Vanguard Admiral funds.
  • Paid Time Off - Based on length of service, we offer a generous amount of paid leave.
  • Bonus System – As you invest in us, we invest in you. We offer bonuses to all employees who meet and exceed goals throughout the year.
  • Professional Development – Support for career growth through training programs and certifications.
  • Company Retreats & Team Events – Sponsored trips, team-building activities, and annual conferences related to your skillset.

    • Flexible work from home options available.

    WHY SILVERTHORNE

    WE ADVISE AS YOUR BUSINESS PARTNER

    The most important thing we can do is do right by our clients. They come to us when something may not be going the way it should. Oftentimes, the root cause is unknown. That’s why, even when our clients ask for a specific service, we ask questions and listen. Not just for their answers, but for what’s not being said, because that’s when true challenges come to light. We help client implement sustainable solutions to leave their organization stronger than when we arrived.

    WE INVEST IN OUR PEOPLE

    Hiring the best people is just the start. Our employees are our most valuable asset, so we make sure we treat them as such—starting on day one. Through mentorship, guidance, and collaboration, we help them grow their skills and their careers. We respect our employees and support them with the resources they need to do the jobs they want to do. That includes offering competitive salaries, expansive benefits coverage, and an above-industry 401k retirement plan to provide security over their future. When our people are happy, confident, and fulfilled, we are a stronger organization and so are our clients.

    WE LOVE WHAT WE DO

    We keep our hearts in our work. It makes the days more fun, but more importantly, it makes the outcomes more rewarding. Loving our work means respecting the process, and paying attention to every detail, no matter how small. It’s the difference between working for a paycheck, when anything might do, and working to make an impact, when only our best will do.

    SMALL TEAM, BIG RESULTS

    People come to Silverthorne when they are ready to do things differently—to start just by listening, to put clients first, and to sweat the details, because the little stuff really is big stuff. People stay at Silverthorne because there’s one thing about us that’s exactly the same. We love what we do.

    We are passionate about our work and we enjoy the people we work with. We keep our team small, filling it with bright, talented people who are eager to grow and advance their careers. By providing mentorship and resources to our team, we create a great place to work and deliver the results our clients are looking for.

    Think Silverthorne is the right fit for you?

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    Machine Learning Engineer • Washington, District of Columbia, United States