Jobs › Companies › S&P Global › Machine Learning Engineer

Über diese Machine Learning Engineer Stelle bei S&P Global

S&P Global · Vor Ort · New York, NY

Kensho is S&P Global’s hub for AI innovation and transformation. With expertise in machine learning, natural language processing, and data discovery, we develop and deploy novel solutions to innovate and drive progress at S&P Global and its customers worldwide. Kensho's solutions and research focus on business and financial generative AI applications, agents, data retrieval APIs, data extraction, and much more.

At Kensho, we hire talented people and give them the autonomy and support needed to build amazing technology and products. We collaborate using our teammates' diverse perspectives to solve hard problems. Our communication with one another is open, honest, and efficient. We dedicate time and resources to explore new ideas, but always rooted in engineering best practices. As a result, we can innovate rapidly to produce technology that is scalable, robust, and useful.

Company Name: Kensho Technologies LLC

Job Title: Machine Learning Engineer

Location: 55 Water Street, New York, NY 10041 (Telecommuting permitted within normal commuting distance of New York, NY office)


Job Duties: Kensho Technologies LLC seeks a Machine Learning Engineer who will identify, research, prototype, and build predictive data-driven products based on statistical analysis and machine learning. Conduct original research and data analysis on large proprietary and open-source data sets to identify interesting patterns, associations, correlations, outliers, and anomalies. Formulate and test hypotheses about the distributions and regularities underlying the data. Design, implement, and evaluate statistical and machine learning models for explaining and predicting patterns in vast amounts of financial data, including financial documents. Write production code implementing predictive models and algorithms. Write tests to ensure the robustness and reliability of productionized models. Conduct peer review of research, prototypes, models, and code. Remain current in the theory and application of statistical and machine learning techniques. Maintain and acquire expertise with tools and packages for numerical and statistical programming, data analysis, and machine learning modeling.


Job Requirements: Master’s degree in Computer Science, Statistics, Data Science, or related quantitative field plus one (1) year of experience in data science or a related quantitative occupation. One (1) year of experience must include: Machine Learning (ML) and artificial intelligence (Al) tools Data Preprocessing, Exploration and Visualization tools, including Jupyter, Matplotlib, Pandas, Scikit-learn; Data Management and Storage tools; Deployment and Machine Learning operations; Conducting and publishing Machine Learning research and producing code; Agentic systems, including Large Language Model (LLM) code generation and tool utilization.


The anticipated base salary range for this position is $209,000 to $250,300. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses & certifications. In addition to base compensation, this role is eligible for an annual incentive plan. Kensho Technologies LLC is part of S&P Global and this role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please see: https://spgbenefits.com/benefit-summaries/us.

At Kensho, we pride ourselves on providing top-of-market benefits, including:  

  •  Medical, Dental, and Vision insurance   

  • 100% company paid premiums  

  • Unlimited Paid Time Off  

  • 26 weeks of 100% paid Parental Leave (paternity and maternity)  

  • 401(k) plan with 6% employer matching  

  • Generous company matching on donations to non-profit charities  

  • Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences  

  • Plentiful snacks, drinks, and regularly catered lunches  

  • Dog-friendly office (CAM office)  

  • Bike sharing program memberships  

  • Compassion leave and elder care leave  

  • Mentoring and additional learning opportunities  

  • Opportunity to expand professional network and participate in conferences and events 

Recruitment Fraud Alert:

If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to [email protected]. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.

We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with an additional office location in New York City. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

Bereit, sich bei S&P Global zu bewerben?
Bei S&P Global bewerben

Wie sich dieses Gehalt für ML Engineer vergleicht

Diese Stelle zahlt $229,650/yr — im Einklang mit der üblichen Spanne für ML Engineer Stellen.

$166,100 dem Median $230,400 $373,380

Übliche Spanne $186,225–$285,000/yr, aus 59 vergleichbaren ML Engineer Anzeigen auf JobsRadar (Vergütung auf USD hochgerechnet). Gehaltseinblicke für ML Engineer ansehen →

Über S&P Global

This is the site for former colleagues whose roles have been impacted by organizational changes to search for job opportunities with S&P Global. We are committed to providing impacted team members priority consideration for new opportunities. When applying, please create a login with your personal email address and select Redeployment in the section: “How did you hear about us?”.

Alle Jobs bei S&P Global ansehen →

Ähnliche Jobs

S&P Global
Machine Learning Engineer
S&P Global
⚡ Früh bewerben New York, NY Vor Ort $209,000–$250,300
● Neu 👁 Gesehen ✓ Beworben vor 6 Std.
Cloudflare
Senior Machine Learning Engineer
Cloudflare
⚡ Früh bewerben Hybrid Hybrid $194,000–$266,000
● Neu 👁 Gesehen ✓ Beworben vor 1 Tg.
Point72
Machine Learning Engineer, GenAI Technology
Point72
⚡ Früh bewerben New York, NY Vor Ort $180,000–$300,000
● Neu 👁 Gesehen ✓ Beworben vor 1 Tg.
DoorDash USA
Principal Machine Learning Engineer, Causal Decisioning
DoorDash USA
⚡ Früh bewerben San Francisco, CA; Sunnyvale,... Vor Ort $282,100–$414,800
● Neu 👁 Gesehen ✓ Beworben vor 1 Tg.
DoorDash USA
Senior Software Engineer, Machine Learning
DoorDash USA
⚡ Früh bewerben San Francisco, CA; New York, N... Hybrid $167,800–$246,800
● Neu 👁 Gesehen ✓ Beworben vor 1 Tg.
DoorDash USA
Staff Machine Learning Engineer, Causal Inference
DoorDash USA
⚡ Früh bewerben San Francisco, CA; Sunnyvale,... Vor Ort $203,500–$299,300
● Neu 👁 Gesehen ✓ Beworben vor 1 Tg.
CoreWeave
Staff Machine Learning Engineer, AI Insights
CoreWeave
⚡ Früh bewerben New York, NY Vor Ort $180,000–$250,000
● Neu 👁 Gesehen ✓ Beworben vor 2 Tg.
Pinterest
Staff Machine Learning Engineer, Content Visual AI
Pinterest
⚡ Früh bewerben San Francisco, CA, US; New Yor... · standortgebunden $189,308–$389,753
● Neu 👁 Gesehen ✓ Beworben vor 2 Tg.
Gusto, Inc.
Software Engineer, ML Platform
Gusto, Inc.
⚡ Früh bewerben Denver, CO - Hybrid; New York,... Hybrid $160,000–$200,000
● Neu 👁 Gesehen ✓ Beworben vor 2 Tg.

Registrieren für Vorschläge, die auf die von Ihnen geöffneten Jobs und gespeicherten Suchen zugeschnitten sind.

Mehr Jobs bei S&P Global

Alle Jobs bei S&P Global ansehen →

Jetzt bewerben
🤖

Moment — langsam

JobsRadar wurde für echte Menschen gebaut, die eine schwere Zeit bei der Jobsuche haben — nicht für automatisierte Anfragen. Sie klicken viel zu schnell und sind jetzt vorübergehend blockiert.

Kommen Sie später wieder. Wenn Sie wirklich auf Jobsuche sind, stehen wir hinter Ihnen — verhalten Sie sich einfach wie ein Mensch.

Catch your next role the second it’s posted.

Create a free account and we’ll watch the boards for you — the instant a job matches your search, it lands in your inbox or Telegram. No digging, no refreshing.

Create free account

Free forever · takes 30 seconds · already have one?

Verschaffe dir einen Vorsprung bei der Jobsuche.

Tritt unserem Telegram-Kanal bei für das, was dir hilft, die Stelle zu bekommen — Gehaltsbenchmarks, den wöchentlichen Marktpuls und neue Feature-Drops. Kein Spam, nur Signal.

Dem Kanal beitreten — kostenlos